SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4304-5
Comprehensive assessment of rehabilitation efficiency is essential for designing appropriate training programs for better musculoskeletal functional recovery. Existing contact-receptor-dependent rehabilitation assessment systems mostly focus on assessing the restoration of muscle function by evaluating grip strength or joint flexion angle; however, parameters reflecting neuromuscular synergistic function are always overlooked. Herein, we develop an ionoelastomer-based soft artificial electroreceptor (SAER) that integrates tele-perception and tactile sensation to track the rehabilitation process, collecting signals related to approaching speed and grip strength sequentially. The SAER uses polyurethane ionoelastomer incorporated with quasi-solid conductive salt as the electric field receptor, and is integrated on a rehabilitation-training ball after assembly to establish an untethered detection device; this enables the remote capture of hand approaching parameter within a 9 cm range, followed by the quantification of grip strength when contacting and grasping. Furthermore, a data-driven assessment system is established by integrating machine learning, which accurately classifies rehabilitation efficiency into six levels; it supports for rehabilitation evaluation and training programs adjustment. Overall, the SAER-based rehabilitation management system establishes a paradigm that synergistically evaluating parameters corresponding to neuromuscular functional restoration and holds strong potential for home-based active rehabilitation for minimizing dependence on frequent clinical supervision.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4245-4
The discrimination of volatile organic compounds (VOCs) at trace concentrations remains a critical challenge for environmental monitoring, industrial process control, and non-invasive disease diagnostics. Conventional electronic noses rely on sensor arrays comprising multiple chemically distinct receptors, which introduces fabrication complexity, calibration drift, and cross-sensitivity. Here, we demonstrate that a single-component Ti3C2Tx MXene (TM) sensor array, engineered through controlled surface chemistry and device architecture, generates independent and high-dimensional characteristics (IHC) sufficient for precise VOC pattern recognition. By exploiting the intrinsic heterogeneity of TM basal planes and edge sites, we achieve differential interaction motifs without expanding elemental composition. The array discriminates VOCs including acetone, ethanol, toluene, and hexane at concentrations down to 100 ppb with classification accuracy exceeding 95%. Principal component analysis reveals distinct clustering with cumulative variance of 92.3% captured by the first three principal components. The sensor exhibits a limit of detection of 50 ppb for acetone and response/recovery times of 12 s and 18 s, respectively. Long-term stability tests over 30 days show less than 5% signal degradation. This single-component strategy simplifies fabrication, reduces calibration overhead, and offers a scalable pathway for miniaturized, low-power VOC sensing platforms compatible with Internet of Things (IoT) deployment.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4288-1
The high-temperature oxidation resistance of Cr2AlC MAX phase ceramics is severely compromised by rapid Al depletion and the formation of a brittle sub-surface Cr7C3 layer. This study elucidates how trace Y2O3 doping (0.25 and 0.5 wt.%) modulates the oxidation behavior of Cr2AlC at 1100 °C. The incorporation of 0.5 wt.% Y2O3 significantly suppresses the parabolic rate constant compared to undoped counterparts. This kinetic suppression is attributed to the Reactive Element Effect (REE), where Y3+ segregation at α-Al2O3 grain boundaries inhibits outward Al3+ diffusion, shifting the scale growth mechanism to inward oxygen diffusion control. Consequently, this retarded Al consumption prevents the decomposition of the Cr2AlC substrate into Cr7C3. While undoped specimens fail due to volume contraction and Kirkendall voiding associated with the Cr7C3 interlayer, specimens with the most effective doping content within the investigated range maintain a stable, atomically sharp α-Al2O3/Cr2AlC interface devoid of voids and decomposition products. The superior adhesion of this interface is attributed to three synergistic factors: the elimination of volumetric mismatch induced by phase transformation, the mechanical interlocking provided by Y-rich oxide pegs, and the intrinsically higher interfacial bonding strength of the α-Al2O3/Cr2AlC system as confirmed by DFT calculations. These findings provide a mechanistic framework for designing oxidation-resistant MAX phase ceramics via reactive element doping.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4404-7
Electrochemical propylene epoxidation offers a sustainable route to propylene oxide (PO), but achieving high selectivity and stability under industrial current densities remains challenging. Herein, we report a high entropy amorphous CoFeNiCrMnBOx borate loaded with high valence Pt single atoms catalyst (a-Pt-HEBO) for stable bromine radical-mediated propylene epoxidation reaction (BrPOR). The high-entropy amorphous structure reshapes the interfacial hydrogen-bonding network and enriches free water, substantially lowering the energy barrier for water dissociation. Meanwhile, the strong electronic interactions between the coordinatively unsaturated, high-valence single Pt atoms and the substrate effectively prevent transition metal dissolution at high anodic potentials. The catalyst achieved 82.1% Faraday efficiency of PO at an industrial grade current density of 100 mA cm-2, and demonstrated excellent industrial application stability in up to 500 h of continuous test and within a scaled-up electrolyzer (4 × 4 cm2). This work provides a design for high-entropy catalysts in halogen-mediated electrosynthesis and a viable pathway toward carbon-neutral PO production.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4260-5
Lithium-sulfur batteries (LSBs) are recognized as a leading candidate for next-generation energy storage due to their high theoretical specific capacity (1675 mAh g⁻¹). However, the shuttle effect of lithium polysulfides (LiPSs) severely limits cycle life and energy efficiency. Here, we report a multi-interface engineering strategy employing a MnO₂-TiO₂@Ti₃C₂ MXene (MT@MX) heterojunction, synthesized via a facile redox reaction between MXene and KMnO₄, to modulate bidirectional polysulfide conversion. The 2D structure with high conductivity and abundant heterogeneous interfaces facilitates fast ion/electron transfer, reduces reaction energy barriers, and enhances adsorption via d-band center effects. The stepped built-in electric field (BIEF) in MT@MX lowers the migration energy barrier of LiPSs from catalytic MXene to TiO₂ and then to adsorptive MnO₂, enabling reversible migration across multi-interfaces. Optimized heterointerfaces synergistically integrate adsorption, diffusion, and catalytic conversion, yielding excellent cycling stability even at a high sulfur loading of 6.4 mg cm⁻². This work demonstrates that constructing heterojunctions with stepped BIEF offers a feasible approach to modulate interfacial diffusion and provides a new design strategy for high-performance LSB electrocatalysts.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4250-0
Shape memory polymer (SMP)-based transfer printing offers a promising route for heterogeneous integration of flexible electronics, yet non-contact release reliability remains a critical bottleneck. This study systematically investigates the influence of pickup heating modes—localized versus global—on the release yield and energy-delivery mechanisms through combined experiments and finite element simulations. The localized heating mode concentrates strain energy at the interface, enabling controlled chip ejection with high yield, whereas global heating dissipates energy, leading to release failure. Quantitative analysis reveals that localized heating achieves a release yield of 100% under optimized conditions, compared to near-zero for global heating. The ejection velocity under localized heating is higher, which may induce chip bouncing on the receiver substrate, affecting transfer accuracy; however, this can be mitigated by adjusting release gap and laser parameters. The findings establish a theoretical framework for energy pathway design, providing guidelines for achieving high-yield, accurate non-contact release in laser-induced transfer printing. This work advances the practical application of SMP-based transfer printing for micro-LED displays and flexible electronics, addressing a key manufacturing bottleneck.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4367-4
Single-crystalline Cs3Cu2I5 has attracted considerable interest owing to its excellent scintillation performance and favorable stability. Nevertheless, second phases induced by peritectic reactions during melt growth give rise to deteriorated scintillation properties and promote crystal cracking. In this work, the effects of non-stoichiometric ratios of raw material (n(CsI)=0.57, 0.62, and 0.63) on the crystallization behavior and scintillation properties were systematically investigated. The results show that the crystal quality is optimal at n(CsI)=0.62, featuring high transparency, absence of macroscopic inclusions, and cracking free, with a PLQY of 79.3%. Temperature-dependent photoluminescence verifies the self-trapped exciton emission mechanism with strong exciton-phonon coupling, giving an exciton binding energy of 473.9 meV and a Huang-Rhys factor S of 79.8. The as-grown crystal exhibits an optimized light yield of 24,380 photons/MeV, an energy resolution of 3.8% for 137Cs (662 keV) γ-rays, a dominant decay time of 957 ns, and excellent linear response in the medium-to-high energy region. Precise regulation of the raw material stoichiometry can effectively suppress the formation of second phases, yielding high-quality Cs3Cu2I5 single crystals whose comprehensive performance demonstrates promising application potential in γ-ray detection.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4257-y
Hafnia-based ferroelectrics exhibit a distinctive reverse size effect and exceptional scalability, positioning them as critical candidates for CMOS-compatible non-volatile memory and ferroelectric transistors, with substantial promise for advancing hardware acceleration in artificial intelligence and large-data storage technologies. However, their practical deployment is constrained by a longstanding dilemma: the difficulty in simultaneously stabilizing metastable polar phases and ensuring long-term reliability under the high electric fields required for polarization switching. This review reinterprets this challenge through the lens of defect physics and advocates a paradigm shift from stochastic, disorder-mediated defect incorporation toward ordered, multiscale defect engineering. We systematically discuss the collective influence of point defects, line defects, planar defects, and defect-coupled structures on the phase stability, switching kinetics, and failure mechanisms in hafnia-based ferroelectrics. Controlling oxygen-vacancy states, engineering dopants via Fermi-level and chemical pressure, deploying periodic dislocation arrays, designing topological domain walls, functionalizing interfaces, and leveraging flexoelectric strain gradients constitute the core strategic toolkit. Through such ordered defect architectures, scalable performance metrics, including high remanent polarization, low coercive field, fast switching speed, and endurance exceeding 10^12 cycles, become attainable. These approaches establish a set of design principles for next-generation low-power, high-reliability ferroelectric electronics.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3709-4
Photoelectrocatalytic (PEC) detoxification of ofloxacin in hyposaline wastewater is hindered by weak built-in electric fields (IEF) and rapid charge recombination. Here, we report a crystal dipole engineering strategy using high-valence Mo-doped BiVO4 to enhance IEF and PEC activity. Mo incorporation breaks lattice symmetry, increasing the crystal dipole moment and amplifying IEF to 2.05 times that of pristine BiVO4. This promotes directional carrier migration, improving electron-hole separation efficiency. The optimized 4% Mo-BiVO4 photoanode achieves 96.5% ofloxacin degradation within 60 minutes and maintains 91.9% degradation efficiency in natural lake water containing saline and organic interferents, demonstrating exceptional anti-interference capability. This work provides a strategy for boosting photocatalytic performance through unit-cell dipole engineering, aiming to enhance sustainability in wastewater treatment.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3831-0
Ammonia decomposition is a key process for generating COx-free hydrogen, yet conventional cobalt catalysts require high temperatures (>550 °C) to overcome the strong Co–N binding that limits N2 desorption. Here we report a novel Co catalyst supported on a Ce and N co-modified perovskite (Co@La_xCe_{1-x}AlO_{3-y}N_z) that achieves 92.6% ammonia conversion with a hydrogen production rate of 9.7 mmol g−1 min−1 at 425 °C and GHSV = 9000 mL h−1 g_cat−1, representing a 125 °C reduction in operating temperature relative to conventional Co-based catalysts. Mechanistic studies using isotopic labeling and in-situ DRIFTS reveal that synergistic Ce and N modification creates a unique LA-L(A+B)-LB active site configuration, which lowers the Schottky barrier at the metal-support interface and promotes facile hydrogen spillover. The reaction proceeds via an interfacial Mars-van Krevelen mechanism, contrasting with the traditional Langmuir-Hinshelwood pathway on conventional Co catalysts. This work provides new insights for designing low-temperature Co-based ammonia decomposition catalysts.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3596-2
High-entropy alloys (HEAs) have shown great promise in the CO2 reduction reaction (CO2RR) due to their tunable composition and unique physical and chemical properties. However, the role of HEAs in CO2RR and the underlying reaction mechanism remain underexplored, particularly through in situ techniques. In this work, we investigate the mechanism of CO2 reduction on AuAgCuPdPt HEAs using in situ Raman spectroscopy and attenuated total reflectance Fourier-transform infrared (ATR-FTIR) spectroscopy to reveal key intermediates and reaction pathways. Our results demonstrate that within the potential window of −0.2 to −0.7 V vs. reversible hydrogen electrode (RHE), the AuAgCuPdPt HEAs efficiently reduce CO2 to CO, achieving a Faradaic efficiency (FE) for CO greater than 90%, with a peak FE of 96.5% at −0.3 V vs. RHE. The CO2− intermediate was observed at low potentials, revealing the reaction pathway in the CO2 reduction process. Additionally, in situ ATR-FTIR results suggest that the introduction of an appropriate amount of Pt metal not only promotes water dissociation to generate protonic hydrogen, but also facilitates the desorption of *CO intermediates. The kinetic isotope effect of hydrogen-deuterium (H-D) confirms that water dissociation acts as a key proton donor in CO2RR. Furthermore, the catalyst of AuAgCuPdPt HEAs was applied as cathodes in a Zn-CO2 battery, achieving 90.23% FE for CO and a power density of 3.474 mW cm−2. This study provides new insights into the mechanistic understanding of CO2 reduction and underscores the importance of in situ spectroscopic techniques for advancing the design of efficient electrocatalysts for CO2 conversion.
New Carbon Materials•2026•DOI: 10.1016/S1872-5805(26)61075-X
The proliferation of electronic devices has intensified electromagnetic radiation pollution, necessitating advanced microwave absorption materials. This study presents the electrospinning fabrication of FeNiCo/carbon nanofiber (FeNiCo/CNF) composites with exceptional microwave absorption properties. The FeNiCo/CNFs achieved a minimum reflection loss (RLmin) of −55.5 dB at 14.24 GHz with an ultrathin matching thickness of only 1.6 mm. Microstructural analysis and electromagnetic parameter testing revealed that the superior absorption stems from the synergistic interaction between the carbon nanofiber network and FeNiCo alloy nanoparticles, which promotes multiple reflections and efficient energy dissipation. The precise control of coercivity and permeability via systematic modulation of magnetic metal composition enabled enhanced impedance matching and optimized magnetic-dielectric synergy. Furthermore, radar cross-section (RCS) simulations confirmed the material's capability to significantly reduce RCS values across a wide angular range, validating its potential for stealth technology applications. This work introduces a cost-effective and sustainable approach for developing ultralight, high-performance microwave absorbers, addressing the limitations of conventional materials such as high density and poor stability.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3698-5
The oxygen evolution reaction (OER) is a critical bottleneck in next-generation sustainable energy systems due to its sluggish kinetics. Developing cost-effective, high-efficiency electrocatalysts requires understanding the dynamic structural evolution at electrode-electrolyte interfaces under operating conditions. In situ techniques are invaluable for identifying active centers and monitoring key intermediates. This review comprehensively summarizes recent advances in cutting-edge in situ methods for characterizing OER electrocatalyst structure evolution. It provides a brief overview of active motifs and robust structures using multiple in situ correlative techniques, establishing essential structure-performance relationships and updating mechanistic understanding at atomic scale under realistic conditions. Key challenges and perspectives are highlighted to promote rational design of promising electrocatalysts for efficient oxygen-associated electrocatalysis and electrosynthesis.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3733-2
Irreversible sodium loss, primarily caused by solid electrolyte interphase (SEI) formation during initial cycling, significantly degrades the capacity of sodium-ion batteries by depleting active sodium. While pre-sodiation mitigates initial sodium loss, it fails to address continuous loss throughout the battery lifecycle. To overcome this limitation, we propose a sustained sodium compensation strategy utilizing activation-releasing systems. Key to this approach are high-capacity sodium compensators, Na2C2O4 and Na2C4O4, supported on a B and N co-doped Mo2C-W2C (MoW-C) heterostructure catalyst. This configuration enables efficient sodium release at charging voltages of 3.53 and 3.78 V, respectively. By integrating the sodium supplement agent onto the separator, and precisely controlling voltage and charge, multiple sodium replenishment is achieved over the entire battery lifecycle. This strategy reduces initial active sodium loss by 36.53%. Furthermore, a single activation during subsequent usage provides an additional 0.115 mAh cm−2 of active sodium. As a result, the cell exhibits exceptional cycling stability, with a capacity loss of only 0.059% per cycle over 350 cycles at 0.5 C.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3707-8
Wound infection is a major cause of death during the wound healing process. Improperly dressed wounds can lead to secondary injury, prolonging healing time and increasing infection risk. Here, we propose an antibacterial slippery dressing through molecular engineering of copper ions. The oil layer forms a barrier to reduce clot adhesion to the wound site and prevent environmental contamination. Single-cell level detection indicates that secreted copper ions induce bacterial death not only by disrupting membrane integrity but also by relying on the production of reactive oxygen species. Further membrane depolarization and adenosine triphosphate production blockage result in the aggregation of important proteins in various biological processes, such as metabolic homeostasis, ultimately leading to bacterial death. The animal model confirms that our dressing accelerates wound healing by promoting the growth of granulation tissue and collagen deposition. Our dressing demonstrates significant clinical implications for the design of next-generation therapeutic applications.
New Carbon Materials•2026•DOI: 10.1016/S1872-5805(26)61068-2
The poor interface contact between bismuth (Bi) nanoparticles and reduced graphene oxide (rGO) impedes ion/electron transfer in lithium-ion battery anodes. We report an innovative fabrication of ultrafine Bi nanocrystals chemically bonded to rGO (Bi-rGO) via liquid-phase pulsed laser irradiation followed by solvothermal reaction with graphene oxide. Metastable Bi nanocrystals synthesized by laser (5.5 nm) undergo lattice restructuring and shrink to a record-small size of 2 nm during solvothermal combination, the smallest reported for Bi/C composites. The Bi nanocrystals are uniformly anchored onto rGO nanosheets via strong Bi–O–C bonds, which suppress particle aggregation, establish efficient ion/electron transport channels, and alleviate volume expansion during lithiation. The Bi-rGO-2 anode, comprising 2 nm Bi nanocrystals, delivers an exceptional reversible capacity of 586.7 mAh g−1 over 500 cycles at 100 mA g−1, nearly doubling that of a Bulk Bi/rGO composite anode (318 mAh g−1). Theoretical calculations confirm higher binding energy between Bi and rGO at smaller particle sizes, while kinetic analysis reveals accelerated Li+ diffusion. This work provides a scalable route to high-performance alloy anodes through metastable nanocrystal engineering and covalent interface coupling.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3725-1
Conductive hydrogel-based stretchable electronics have been extensively investigated, with strain sensors being the most prominently studied. While mechanical properties significantly affect device performance, the systematic correlation between specific mechanical parameters and sensing performance remains rarely explored. This work compares the influences of Young’s modulus and mechanical hysteresis on sensing performance between highly entangled PAM-Li and double-network PAM-Li-Agar-3 strain sensors. Owing to the brittle agar network, which imparts a higher Young’s modulus and pronounced mechanical hysteresis to the double-network PAM-Li-Agar-3 hydrogel, the corresponding sensor requires a greater driving force for deformation and yields signals with poor reproducibility. In contrast, the PAM-Li hydrogel, characterized by highly entangled polymer chains, exhibits a lower Young’s modulus and negligible mechanical hysteresis. Consequently, signals from the PAM-Li strain sensor demonstrate enhanced sensitivity and stability. Therefore, this work demonstrates that a low Young’s modulus and minimal mechanical hysteresis are critical factors for achieving superior sensing performance in strain sensors, as systematically validated through comparative analyses across diverse application scenarios.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202506020
The rotary kiln roasting of lepidolite for lithium extraction faces challenges of unstable lithium conversion rates and high energy consumption. To address this, a multi-objective optimization method coupling improved neural network simulation with a multi-objective genetic algorithm was proposed, targeting the synergistic optimization of lithium conversion rate (TRLi) and natural gas consumption intensity (EIng). Using long-term industrial time-series data of batching parameters and kiln operating variables, back-propagation (BP) neural network and its particle swarm optimization (PSO) improved variant were developed to model TRLi and EIng. The PSO-BP model demonstrated superior accuracy in capturing the complex nonlinear relationships, reducing mean absolute percentage errors (MAPE) to 0.278 and 0.284 for TRLi and EIng, respectively. Subsequently, the non-dominated sorting genetic algorithm II (NSGA-II) was employed to construct a multi-objective optimization model, yielding a Pareto-optimal set of process parameters that maximize TRLi and minimize EIng. The results revealed that under NSGA-II optimized conditions, TRLi could be stabilized between 82.45% and 87.96%, an average increase of 3.61 percentage points over baseline operations, while EIng could be reduced to 53.7 m3 per ton of clinker. For an annual processing capacity of 3.2×105 tons of lepidolite concentrate and sulfate mixture, this corresponds to an additional 127.1 tons of lithium metal recovery, a reduction of 1,964,912 m3 in natural gas consumption, and a decrease of 3,763.84 tons in CO2 emissions annually. This study provides theoretical and technical support for the green, high-quality, and low-carbon supply of critical raw materials for the lithium battery new energy industry.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202507027
Ammonia nitrogen (NH3-N) is a common water pollutant that can induce eutrophication and threaten aquatic ecosystems and human health. Accurate monitoring is essential for water safety. This study applied a self-developed gas-permeable membrane-based conductivity sensor (GPMCS) for real-time in-situ monitoring of NH3-N in two water bodies. In the Qunying River (surface river water), GPMCS captured concentration fluctuations linked to pump operations and sewage intrusion, with mean inlet and outlet concentrations of 4.67 and 3.42 mg/L, respectively. In Swan Lake (landscape aquaculture water), concentrations reached up to 11.16 mg/L, with site means of 6.42 and 7.04 mg/L, influenced by aquaculture activities, weather, and location. GPMCS results correlated strongly with national standard methods (r1=0.8132, r2=0.7483), confirming accuracy and reliability. Compared to existing techniques, GPMCS offers high selectivity, strong anti-interference, portability, no sample pretreatment, low cost, and environmental friendliness, making it suitable for long-term in-situ monitoring. This technology provides robust support for sustainable water environment management.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202507057
This study presents a novel electrochemical sensor for the rapid detection of trace lead ions (Pb(II)) in water, utilizing a rod-shaped bismuth-based electrode. The electrode was fabricated by modifying a glassy carbon electrode (GCE) with basic bismuth nitrate [Bi6O5(OH)3](NO3)5·3H2O, synthesized via a chemical precipitation method. The sensor was characterized by X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), electron probe microanalysis (EPMA), and energy-dispersive X-ray spectroscopy (EDS), confirming the rod-like morphology and composition. Electrochemical detection was performed using differential pulse voltammetry (DPV) in a 0.1 mol·L−1 NaAc-HAc buffer (pH 4.3). The sensor exhibited a linear detection range for Pb(II) from 1 to 90 μg·L−1, with a detection limit of 0.34 μg·L−1 and a sensitivity of 106 μA·(μmol·L−1)−1. The electrode demonstrated excellent anti-interference capability and reproducibility. Recovery tests in real water samples (tap water and campus lake water) yielded high recovery rates, indicating practical applicability. This work provides a simple, cost-effective, and reliable method for monitoring trace Pb(II) in environmental water, particularly relevant for public swimming pools and similar aquatic facilities.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2024122101
Bicarbonate and carbonate ions (HCO3−/CO3^2−) are ubiquitous in wastewater and readily scavenge strong oxidants, leading to the formation of carbonate radicals (CO3·−) in radical-based advanced oxidation processes. This study investigated the influence of HCO3−/CO3^2− on the degradation kinetics of sulfamethazine (SMR) in a UV/TiO2 system. The presence of HCO3−/CO3^2− enhanced the degradation rate of SMR by sixfold compared to UV/TiO2 alone. Radical quenching experiments identified CO3·− as the primary reactive species responsible for the enhanced degradation, with hydroxyl radicals (·OH) also contributing. To quantitatively delineate the roles of reactive species and account for water matrix effects, a kinetic model was constructed using Kintecus software. The model accurately predicted SMR degradation over time and the contributions of individual radicals, demonstrating good predictive capability. Application of the model to real wastewater predicted that CO3·− is the dominant radical responsible for SMR degradation. These findings highlight the critical role of carbonate radicals in UV/TiO2 processes and provide a robust modeling framework for predicting the fate of pharmaceuticals in carbonate-rich waters.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2024120203
Potassium permanganate (KMnO4) oxidation is a promising technology for organic pollutant removal in water due to its low cost and broad pH applicability. However, its moderate oxidation capacity results in slow degradation rates for refractory organic compounds. Carbon materials (CMs), known for their accessibility, stability, and environmental compatibility, have shown great potential in enhancing KMnO4 oxidation. This paper provides a comprehensive review of recent advancements on the enhancement of KMnO4 oxidation of organic pollutants by CMs. The performance and suitability of various CMs in improving KMnO4 oxidation were systematically compared. Additionally, two key mechanisms driving the degradation of organic pollutants in the KMnO4/CMs system were elucidated, along with a discussion on the recycling and regeneration of CMs. Finally, future research directions and development trends for this technology were outlined, aiming to offer insights to advance the practical application of KMnO4/CMs system in water treatment.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2024120701
Surface waters contain numerous photoactive substances and low molecular weight carboxylic acids (LCAs). Hydroxyl radicals (HO•) can react with LCAs to generate the highly reducing carbon dioxide anion radical (CO2•−). Excited triplet state dissolved organic matter (3DOM*), a common oxidant in surface waters, may also oxidize LCAs to CO2•−, but this pathway remains unexplored. This study simulated sunlight-driven generation of CO2•− via 3DOM* using 4-benzoylbenzoic acid (CBBP) as a 3DOM* precursor and formate (HCOO−) as a model LCA. Metronidazole (MNZ) served as the target pollutant. Comparative degradation experiments in hν, hν/HCOO−, hν/CBBP, and hν/CBBP/HCOO− systems, combined with electron spin resonance spectroscopy and quenching tests, confirmed that CO2•− generated in the hν/CBBP/HCOO− system was the primary reactive species responsible for enhanced MNZ degradation, originating mainly from 3CBBP* oxidizing HCOO−. Under optimized conditions (8 mmol·L−1 HCOO−, 200 μmol·L−1 CBBP, 10 μmol·L−1 MNZ), 98.2% degradation was achieved within 30 min. Degradation efficiency increased with HCOO− concentration and was pH-independent. Cl−, NO3−, CO3^2−, and low concentrations of HCO3− inhibited degradation, while high HCO3− slightly promoted it. Humic acid (HA) inhibited degradation in a concentration-dependent manner. The system also performed well in real water matrices, suggesting potential for treating micropollutants via reductive pathways.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202604001
This study systematically investigated the occurrence, spatial distribution, sources, and ecological risks of 160 pesticides in Dianchi Lake, a typical plateau lake impacted by agricultural activities. A total of 37 pesticides were detected in the water, with total concentrations ranging from 64.2 to 1132.8 ng/L (average 610.0 ng/L). Fungicides, including boscalid (BOS), fluopicolide (FPC), and dimethomorph (DMM), were dominant, contributing up to 65.0% of the total concentration. Spatially, the southern lake region exhibited significantly higher concentrations (672.5 ng/L) than the north, attributed to intensive facility agriculture. Highly hydrophobic pesticides, such as penconazole (PEN), showed a tendency to enrich in bottom layers. Source apportionment identified inflowing rivers and wastewater treatment plant effluents as primary input sources, with average concentrations 7 and 9 times higher than lake water, respectively. Ecological risk assessment revealed that pesticides posed the highest risk to algae, followed by daphnia and fish. Prometryn (PMT) was identified as a high-risk factor for algae, while profenofos (PFF) and carbendazim (CBD) posed potential threats to higher trophic levels. These findings provide fundamental data and technical support for understanding pesticide pollution in plateau lake ecosystems.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202604022
The resource utilization of food waste contributes to reducing environmental pollution, driving nutrient cycling and biomass energy development, and promoting the resource recycling industry, achieving a win-win outcome for environment and economy. This study evaluated the resource recovery performance and environmental impacts of producing carbon sources for wastewater treatment through hydrolysis and acidification of food waste, comparing with two conventional alternatives: anaerobic fermentation and incineration. Results showed that among the three technologies, hydrolysis for carbon source production ranked middle in resource recycling efficiency, but its environmental benefits were superior to incineration and anaerobic fermentation. The hydrolysis process did not produce additional wastewater requiring treatment, and its greenhouse gas emissions and solid waste generation intensity were relatively low, at -40.7 kg CO2-eq/t and 9.3%, respectively. Carbon sources derived from food waste can replace commercial alternatives, reducing wastewater treatment costs and promoting synergies between pollution reduction and carbon mitigation. Sensitivity analysis revealed that water content in food waste significantly influences solid impurity generation and energy recovery efficiency of hydrolysis technology. In regions with high food waste generation and carbon source demand, hydrolysis technology is recommended to facilitate large-scale synergistic treatment of wastewater and food waste.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202604017
The Shule River Basin, a typical arid inland river basin, faces critical water scarcity that threatens ecological security and sustainable development. This study integrated the FLUS and InVEST models to simulate water yield in 2030 and 2050 under three climate scenarios (SSP119, SSP245, SSP585). Geographic detectors quantified the driving mechanisms of natural and human factors. Results showed: (1) Desert dominates land use (78.6% in 2020). Under SSP119, desert area decreases by 0.69% by 2050, while under SSP585 it expands by 5.7%, with grassland loss of 23.0%, indicating severe ecological degradation. (2) Water yield exhibits a south-high, north-low spatial pattern, with high values in glacier-covered and high-altitude areas. SSP119 yields the most significant increase (147.6×10^8 t by 2050), whereas SSP585 shows minimal increase (43.9×10^8 t) due to extreme climate. (3) Precipitation and DEM are core driving factors; the interaction between land use type and precipitation has the strongest influence, implying that artificial land use changes can significantly regulate water yield. This multi-scenario framework provides decision support for water resource management and ecological governance in arid inland river basins.
The Chinese Journal of Process Engineering•2026•DOI: 10.12034/j.issn.1009-606X.225185
Sulfur hexafluoride (SF6), widely used as an insulating gas in high-voltage electrical equipment, possesses a global warming potential (GWP) 25,200 times that of CO2, necessitating efficient degradation technologies. This study employed computational fluid dynamics (CFD) to simulate the thermal catalytic degradation of SF6 in a fixed-bed reactor, integrating models for porous media, heat transfer, turbulence, and chemical kinetics. The simulations revealed significant radial non-uniformities in pressure, velocity, temperature, and species concentration distributions, with temperature identified as the dominant factor influencing degradation efficiency. Radial temperature gradients caused uneven reaction rates, with degradation rates near the wall substantially exceeding those at the central axis, thereby reducing overall SF6 conversion. To address this, structural optimizations were implemented, including reducing the reactor tube diameter and incorporating inert porous media with high thermal conductivity at both ends of the catalytic section. These modifications enhanced radial heat transfer, homogenized the temperature field, and improved the uniformity of reaction rates and species concentrations. Parametric studies on inlet gas velocity showed that both excessively low and high flow rates were detrimental: low velocities led to underutilization of the downstream catalyst and increased energy consumption, while high velocities deteriorated heat transfer and exacerbated radial temperature gradients. The optimal inlet velocity range was determined to be 0.4–0.8 m/s for a reactor tube inner diameter of 10 mm, balancing catalyst utilization, energy consumption, and degradation efficiency. This research provides data-driven guidance for the design and scale-up of SF6 catalytic degradation reactors.
The Chinese Journal of Process Engineering•2026•DOI: 10.12034/j.issn.1009-606X.225227
Imidazolium-based ionic liquids (ILs) are foundational materials in sustainable chemical engineering due to their negligible volatility, exceptional thermal stability, and tunable properties. This study details the development, optimization, and analysis of an industrial-scale green synthesis pathway for 1-butyl-3-methylimidazolium chloride ([Bmim]Cl) via quaternization of N-methylimidazole with 1-chlorobutane. Reaction parameters were optimized using orthogonal experimental design, and process intensification strategies were implemented to enhance efficiency and environmental sustainability. The optimal conditions were identified as a reaction temperature of 76 °C, a molar ratio of N-methylimidazole to 1-chlorobutane of 1:1.3, and a reaction time of 36 h, achieving a single-pass yield of 95.6%. Kinetic studies revealed a significant correlation between temperature, molar ratio, and conversion efficiency, with an activation energy (Ea) of approximately 135.7 kJ/mol, indicating pronounced temperature dependence. A closed-loop material recycling system was designed, enabling recovery rates of 99.5% for 1-chlorobutane and 98.1% for ethyl acetate, thereby curtailing raw material consumption and waste generation. This approach aligns with green chemistry principles and propels the process toward near-zero emissions. The pathway offers a scalable model for [Bmim]Cl manufacture and a transferable strategy for synthesizing other ionic liquids, representing a substantial advancement in sustainable process engineering.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3930-3
Methylammonium lead tribromide (MAPbBr3) single crystals (SCs) are promising for room-temperature gamma-ray and X-ray detection, but scaling their size often compromises crystal quality. Here, we report a strategic precursor stoichiometry engineering approach to grow inch-sized, high-quality MAPbBr3 SCs via a constant-temperature evaporation method. We show that constructing a robust electrical double layer through organic cation modulation effectively stabilizes the colloidal precursor. This is achieved by synergistically suppressing MA+ deprotonation while promoting MA+ adsorption as counterions on the [PbBrn]2−n complexes, which collectively strengthens interparticle repulsion and raises the nucleation barrier. This multifaceted approach yields MAPbBr3 SCs with lateral dimensions up to 2 inches and an exceptional X-ray diffraction rocking curve full width at half maximum (FWHM) of 0.0093° at the (002) face. Consequently, the SCs enable spectroscopic-grade gamma-ray detection, achieving energy resolutions (ER) of 8.4% for the 57Co source (122 keV) and 11.1% for the 137Cs source (662 keV), along with a high X-ray sensitivity of 1.65 × 10^4 μC Gy−1 cm−2. This work paves the way for the practical application of MAPbBr3 SCs in high-performance gamma-ray and X-ray detection.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4054-x
The sluggish kinetics and high onset potentials of the oxygen evolution reaction (OER) at the anode of alkaline water/seawater electrolyzers limit overall energy efficiency. Noble-metal oxides like RuO2 are active but suffer from high cost, agglomeration, and dissolution under oxidizing potentials, especially in chloride-rich electrolytes where competing chloride oxidation reaction (ClOR) occurs. Here, we report a mild two-step dry-wet milling strategy to achieve throughout lattice doping of F− into MnO2 (F-MnO2) and subsequent anchoring of atomically dispersed Ru via Ru–O/F hybrid bonds. The strengthened Mn 3d–O/F 2p hybridization and negative charge shielding of surface F− enhance OER activity/selectivity relative to ClOR and impart superior Cl− tolerance and corrosion resistance. The resulting F-Ru-MnO2-TH electrocatalyst exhibits overpotentials of 280 mV and 200 mV at 10 mA cm−2 in alkaline water and simulated seawater, respectively. It retains ~100% of initial activity after 200 h continuous operation in alkaline media and >95% after 300 h in simulated seawater, significantly outperforming Ru-MnO2 and commercial RuO2. This work provides a scalable route to durable, high-performance OER catalysts for seawater electrolysis.
New Carbon Materials•2026•DOI: 10.1016/S1872-5805(26)61100-6
Sodium-ion capacitors (SICs) are attractive for low-cost and safe energy storage, but their practical development is limited by sluggish Na+ storage kinetics and structural instability of anodes. Control of both bulk structure and surface chemistry can address these limitations. We report a heteroatom-rich porous carbon (HRPC) derived from spores via hydrothermal pretreatment, low-temperature carbonization, and acid-mediated functionalization. The optimized GLSHC-HNO3 anode exhibits hierarchical porosity and multi-element co-doping, enabling rapid ion/electron transport, improved electrolyte wettability, and abundant Na+ adsorption sites. Density functional theory calculations reveal distinct contributions of different heteroatom configurations to sodium adsorption. The HRPC anode delivers an ultrahigh reversible capacity of 446.1 mAh g−1 at 50 mA g−1, retains 237.3 mAh g−1 at 2 A g−1, and shows excellent cycling stability. A full SIC with a polyaniline-derived porous carbon cathode achieves an energy density of 114.4 Wh kg−1 at 290 W kg−1, 43.1 Wh kg−1 at 1450 W kg−1, and a maximum power density of 5800 W kg−1, with 84.3% capacity retention after 5000 cycles and nearly 100% Coulombic efficiency. This work establishes a scalable, sustainable route for converting biomass into high-value carbon anodes, providing a new pathway for high-performance sodium-ion energy storage.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202509035
Aerobic granular sludge (AGS) is an economical and efficient technology, yet its application has been largely confined to sequencing batch reactors (SBRs). This study introduces a novel continuous-flow self-circulating upflow granular sludge bed (Zier) process with separate aeration for treating real domestic wastewater. By regulating operational parameters, the nitrogen removal performance and granular sludge stability were investigated. Under hydraulic retention time of 10 h, self-circulation times of 29–58, and upflow velocity of 11–18 m·h−1, effluent NH4+-N and TN averaged (5±3.4) mg·L−1 and (10±2.8) mg·L−1, respectively, with COD at (30±6.2) mg·L−1. The process maintained sludge stability: mixed liquor suspended solids increased from 5,080 to 6,650 mg·L−1, mean particle size was 209.6 μm, and sludge volume index (SVI) remained at 50–60 mL·g−1. Extracellular polymeric substances (EPS) increased from 26.05 to 68.27 mg·g−1, with proteins (PN) rising from 21.26 to 59.44 mg·g−1 and polysaccharides (PS) from 4.79 to 8.82 mg·g−1, elevating the PN/PS ratio from 4.4 to 6.7. These results confirm that the Zier process preserves granular structure and function in continuous flow. The process demonstrates robust nitrogen removal and offers a novel approach for continuous-flow AGS applications in real wastewater treatment.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202506084
Groundwater is a vital drinking and irrigation source in the loess regions of northwestern China. In Guyuan, a densely populated area in southern Ningxia, systematic assessments of groundwater pollution risks are lacking. This study collected 60 groundwater samples and employed the Nemerow index, heavy metal pollution index (HPI), and health risk assessment models to evaluate pollution levels and health risks of eight elements including Cr, As, and Hg. Results show that the groundwater is generally Class IV quality, with a mean TDS of 1350.9 mg·L−1. Average concentrations of As, Cr, and Mn are 4.39, 29.87, and 45.77 μg·L−1, respectively. The Nemerow index indicates moderate pollution. The mean HPI is 10.56, but a local sample (PS1-51-下) reaches 36.15, indicating severe pollution. Health risk assessment reveals that carcinogenic risks from Cr and As for adults and children are 8.037×10−6 a−1 and 3.863×10−6 a−1, respectively, below US EPA limits but above recommended levels by Swedish and Dutch agencies, with children at higher risk. Hydrogen and oxygen isotopes and principal component analysis suggest that groundwater is primarily recharged by atmospheric precipitation. Cr, Zn, and Mn mainly originate from regional copper ore belts, coal mining, and agricultural activities. This study fills a gap in multidimensional groundwater assessment in populated loess areas, identifies pollution characteristics distinct from typical loess regions, and provides a scientific basis for regional water resource risk management and sustainable development.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025012101
Continuous monitoring of 114 volatile organic compounds (VOCs) was conducted in the urban atmosphere of Haigang District, Qinhuangdao City, from September 2022 to February 2023. The volume concentrations of total VOCs were 42.72×10⁻⁹ in autumn and 25.15×10⁻⁹ in winter. The predominant species were isopentane, ethane, and ethylene. Ozone formation potential (OFP) analysis indicated that alkanes and alkenes dominated the atmospheric pollution during autumn and winter, with isopentane and ethylene being the largest contributors. Aromatic hydrocarbons contributed up to 85.00% of the secondary organic aerosol formation potential (SOAFP), with benzene as the primary species. Positive matrix factorization (PMF) identified four major sources: technological processes and oil/gas volatilization (35.57%), combustion and petrochemical emissions, motor vehicle emissions, and regional background sources. The results underscore the need for targeted control of VOCs from industrial and vehicular sources to mitigate secondary pollution in coastal cities.
The Chinese Journal of Process Engineering•2026•DOI: 10.12034/j.issn.1009-606X.225264
The high cost of high-purity hydrogen necessitates the utilization of low-cost industrial by-product hydrogen as an alternative gas source to reduce hydrogen storage costs. Industrial by-product hydrogen typically contains impurities such as H2S and CO, yet the poisoning mechanisms of these gases on superlattice hydrogen storage alloys during hydrogen absorption/desorption remain poorly understood. This study systematically investigates the poisoning effects and regeneration behavior of La0.65Mg1.32Ca1.03Ni9Y0.17 superlattice hydrogen storage alloy in atmospheres containing 10^-3 H2S and CO. The experimental protocol comprised 10 poisoning cycles followed by 1 regeneration, repeated to total 20 poisoning cycles and 2 pure hydrogen regenerations. Results show that in pure hydrogen, the alloy's hydrogen storage capacity gradually decreases after 22 cycles but is effectively restored after dehydrogenation at 473 K. In the presence of impurity gases, the hydrogen storage capacity retention rates after 10 poisoning cycles with H2S and CO are 3.56% and 2.71%, respectively; after 20 cycles, these decrease to 3.68% and 1.73%, respectively. After dehydrogenation at 473 K, retention rates recover to 40.35% and 98.27%, respectively. This indicates that poisoning severity follows the order CO > H2S, while regeneration difficulty follows H2S > CO. X-ray diffraction analysis reveals that after poisoning, the main phase transforms from AB3 to AB3H, but reverts to AB3 after high-temperature dehydrogenation. X-ray photoelectron spectroscopy shows that after H2S poisoning, CaS and CaSO4 form on the alloy surface, indicating irreversible chemical adsorption. In contrast, after CO poisoning, no new substances are detected, indicating reversible adsorption. This study clarifies the differentiated poisoning mechanisms of impurity gases and provides theoretical support for the application of rare-earth superlattice hydrogen storage alloys in complex atmospheres.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3899-9
Metal halide hybrids have emerged as a highly promising class of optoelectronic materials owing to their rich chemical and electronic diversity, high luminescence efficiency, and tunable photophysical properties. Incorporating chirality into these systems imparts pronounced circularly polarized luminescence (CPL) activity, creating new opportunities for advanced smart optoelectronic and spintronic applications. Although numerous reviews have been dedicated to CPL-active perovskites, their non-perovskite ionic counterparts have yet to be systematically and comprehensively reviewed. Given the rapid advancements in this burgeoning field, such a work is both timely and crucial to chart its future course. This review summarizes recent progress in non-perovskite ionic metal halide hybrids exhibiting CPL emission, highlighting four aspects: (1) the intrinsic correlations among different characterization techniques; (2) the strategic advantages of these materials for CPL applications; (3) methodologies for enhancing their CPL performance; (4) the prerequisites and mechanisms underlying CPL generation in achiral metal halide hybrids. Finally, we discuss their emerging applications in light-emitting devices, information encryption, anti-counterfeiting technologies, and scintillators, and provide perspectives on the remaining challenges and future directions in this rapidly evolving field.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3913-3
The depletion of fossil resources necessitates the development of sustainable polymers from renewable feedstocks. Eugenol, a biomass-derived compound, serves as an ideal platform molecule due to its reactive allyl group and rigid aromatic scaffold. This study introduces a chiral Pd/Wei-Phos catalytic system for the helix-selective living polymerization of achiral eugenol-based diazo acetate monomer, delivering helical polycarbenes in high yield with controlled molecular weight (Mn), narrow dispersity (Đ), and optical activity. Post-polymerization functionalization was achieved via thiol-ene click chemistry, enabling efficient incorporation of diverse functional groups (carboxyl, ester, ketone, and diol) with high conversion (>99%). Additionally, an innovative pentaerythritol tetra(3-mercaptopropionic acid) (PETMP) cross-linked eugenol-based polycarbene system has been constructed. By controlling the polymerization degree and cross-linking density of the polymer, the mechanical properties (tensile strength can reach 15 MPa) of the cross-linked materials can be easily adjusted. Moreover, the cross-linked films exhibit excellent chiral separation ability and can be used for the enantioseparation of enantiomers of various chiral alcohols, with enantiomeric excess (ee) up to 96%. This not only contributes an innovative strategy for designing high-performance functional materials, but also provides inspiring ideas for the development of biomass-derived high-performance materials.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3786-8
Conventional cancer diagnostic techniques, such as tissue sampling and microscopy, are invasive and prone to misdiagnosis, driving the need for non-invasive, precise alternatives. Chiral biophotonics, exploiting circularly polarized light (CPL), offers unique polarization-selective interactions with biological tissues, enabling higher imaging contrast and molecular-level discrimination. However, current CPL detection technologies are passive and single-mode, lacking dynamic tunability and parallel processing capabilities. Meanwhile, AI-assisted diagnostics rely on separated sensing and computing units, suffering from poor integration and transmission inefficiency. Here, we report a near-infrared (NIR) chiral organic synaptic photodiode with electrically tunable dual-mode operation, enabling simultaneous CPL detection and neuromorphic processing. Under negative bias, the device operates as a highly sensitive CPL detector for chiroptical signal acquisition. Under positive bias, it exhibits history-dependent synaptic behavior with photocurrent dissymmetry factor (g_ph) dynamically tunable up to -0.06. By integrating this device into an optical convolutional neural network (OCNN), we achieved intelligent cancer detection with CPL-based imaging. Experimental results demonstrate that CPL detection accuracy reaches 83%, approaching the theoretical 87%, significantly outperforming natural light detection at 65%. The device enhances image contrast and feature extraction, laying a foundation for intelligent, adaptive diagnostic systems.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202509078
The rapid expansion of photovoltaic (PV) installations and the impending retirement of early-stage modules have made the recycling of end-of-life PV modules an urgent issue. This review systematically examines the types and structures of retired PV modules, with a focus on crystalline silicon (c-Si) and thin-film technologies. It critically evaluates the principles, processes, and pros and cons of physical, chemical, pyrolysis, biological, combined, and emerging methods for recovering c-Si modules. The current status of silicon, metal, and valuable component recovery processes is summarized. For thin-film modules, the core technologies for recovering valuable components via pyrometallurgical, hydrometallurgical, biological, and novel approaches are analyzed in depth. Results indicate that conventional methods (physical, chemical, pyrolysis) remain dominant but suffer from high energy consumption, pollution, and chemical usage. Emerging technologies such as biological and green leaching are identified as key research directions, though they face challenges of low technical maturity and high costs. Finally, policy orientations and existing challenges are discussed, and future development directions are proposed, providing significant guidance for the sustainable and large-scale green development of the PV industry.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202509049
This study systematically compared three virus enrichment and concentration methods—polyethylene glycol (PEG) precipitation, aluminum salt coagulation, and centrifugal ultrafiltration—for detecting SARS-CoV-2 in high-turbidity, high-strength wastewater from inbound flights. The aluminum salt coagulation method exhibited the best overall performance, achieving an average recovery rate of 25.95% for SARS-CoV-2 pseudovirus, significantly higher than PEG precipitation (12.91%) and centrifugal ultrafiltration (0.22%) (P<0.05). Its detection limit reached 10 copies·mL⁻¹, whereas centrifugal ultrafiltration suffered severe membrane fouling, limiting detection to 1,000 copies·mL⁻¹. Considering the high pH buffering of flight wastewater, the aluminum salt method was optimized by adjusting pH to 6.00±0.4, employing rapid magnetic stirring, and reducing mixing time to 1 minute, yielding an average recovery of 27.56% (not significantly different from the original 25.95%, P>0.05). An automated enrichment device was developed based on the optimized method, reducing processing time per sample from 115 min to 60 min while maintaining comparable recovery and improved repeatability. Applied to 1,309 wastewater samples from inbound flights between January 2024 and May 2025, the average detection rate of SARS-CoV-2 was 45.45%, with trends consistent with national COVID-19 epidemiological data. The automated device demonstrates suitability for routine surveillance, providing technical support for port epidemic prevention.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202510013
To investigate the spatiotemporal distribution of nutrients and chlorophyll-a (Chl-a) in Dongping Lake, a coupled hydrodynamic-water quality-ecological model was developed using Delft3D. The model simulated total nitrogen (TN), nitrate nitrogen (NO3-N), ammonia nitrogen (NH4-N), total phosphorus (TP), soluble reactive phosphorus (SRP), and Chl-a. After validation, the model systematically analyzed the spatiotemporal patterns and influencing factors, revealing nitrogen and phosphorus transformation pathways. Results showed three temporal phases: relatively stable concentrations from January to April, significant fluctuations from May to August, and gradual stabilization from September to December, with peak timing varying among indicators. Spatially, concentrations were generally higher in the south and lower in the north, but NH4-N, TP, and Chl-a exhibited reverse patterns (higher in north) during certain periods. External inputs, primarily from the Dawen River, dominated the overall distribution, while water temperature, dissolved oxygen, and hydrodynamic conditions further modulated internal variability. Nitrogen and phosphorus showed distinct fates: nitrogen was primarily removed via denitrification and anammox, whereas phosphorus tended to transform into particulate forms and remained in the lake for extended periods. These findings provide scientific support for precise water quality management in Dongping Lake.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202509124
To reveal the spatiotemporal evolution and driving mechanisms of water quality in the Hanjiang River Basin, this study utilized monthly water quality monitoring data from 54 sections from January 2021 to April 2024. Methods including single-factor index, comprehensive water quality index (WQI), principal component analysis (PCA), and optimal parameters-based geographical detector (OPGD) were employed. Results indicated significant spatiotemporal differences, with total nitrogen (TN), chemical oxygen demand (COD), and permanganate index (CODMn) as major pollutants, TN being the most critical. Temporally, agricultural non-point source organic pollution dominated in wet season, while comprehensive organic pollution with industrial point source characteristics prevailed in dry season. Spatially, water quality deteriorated along the main stream, with tributary downstream areas showing severe pollution, forming a pattern of 'mountainous areas good, plains poor'. OPGD revealed combined effects of natural conditions and human activities, proposing a 'zonal control and targeted treatment' strategy.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(25)60618-9
Aromatic hydrocarbons, essential chemical feedstocks for fuels, synthetic fibers, and pharmaceuticals, are predominantly derived from petroleum refining. The catalytic conversion of lignin, a major lignocellulosic component, offers a renewable route to these chemicals. This review systematically examines the influence of pyrolysis methods, catalysts, and reaction conditions on the catalytic pyrolysis of lignin to aromatic hydrocarbons. Key parameters include catalyst acidity and pore structure, which govern selectivity and yield. Reaction temperature, catalyst-to-lignin ratio, and residence time critically affect product distribution. The review outlines catalytic mechanisms, such as deoxygenation, cracking, and aromatization, and highlights the role of zeolite catalysts, particularly HZSM-5, in enhancing monocyclic aromatic hydrocarbon yields. Metal modification (e.g., Fe, Ni, Ga) and pretreatment strategies (e.g., torrefaction) are discussed for improving efficiency. Challenges remain in catalyst deactivation due to coking and the complexity of lignin structure. Future research directions include developing robust catalysts, optimizing reactor designs, and integrating processes for industrial viability. This review provides theoretical and technological guidance for advancing lignin-to-aromatics conversion.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60635-4
A Cu-based carbon catalyst (H-Cu/C) with octahedral morphology was synthesized by pyrolyzing the metal-organic framework (MOF) precursor HKUST-1 under inert N2 atmosphere. Characterization via XPS, XRD, SEM, and HRTEM revealed that Cu(0) nanoparticles were uniformly dispersed in a carbon matrix, with island-like Cu2O structures serving as active sites. The carbon matrix effectively stabilized the metal nanoparticles, suppressing migration and sintering during reaction. Combined with TEMPO and using molecular oxygen as a green oxidant, the H-Cu/C catalyst exhibited high efficiency in the selective oxidation of aromatic alcohols to corresponding aldehydes under alkali-free conditions. Using benzyl alcohol as a model substrate, an alcohol conversion of 99.2% and a benzaldehyde yield of 94.1% were achieved under mild conditions (100 °C, 0.5 MPa O2, 1 h). The catalytic system demonstrated excellent universality for various mono- and ortho/para-disubstituted aromatic alcohols, affording conversions over 99% and aldehyde yields above 95%. The catalyst could be regenerated via H2 reduction and reused without significant loss of activity. This work provides a new strategy for designing green and efficient non-noble metal catalytic systems for oxidation reactions.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025022301
Perfluorooctane sulfonate (PFOS), a typical perfluorinated compound, has been restricted from production and use due to its adverse effects on organisms and ecosystems. It has been replaced by various emerging alternatives, including 6:2 fluorotelomer sulfonic acid (6:2 FTSA). Recently, 6:2 FTSA has been widely detected in aquatic environments; however, studies on its toxicity to aquatic organisms remain limited. To compare the toxic effects of PFOS and 6:2 FTSA on aquatic organisms, zebrafish embryos were exposed to each compound for 72 h. Toxic effects were evaluated, and alterations in endogenous metabolites and metabolic pathways in zebrafish embryos were analyzed using metabolomics. The study demonstrated that both PFOS and 6:2 FTSA induced malformations in zebrafish embryos, with 61 and 33 endogenous differential metabolites identified respectively, predominantly involving lipids and amino acid derivatives. PFOS induces immunotoxicity primarily by disrupting lipid metabolism pathways, thereby interfering with normal embryonic development. In addition, 6:2 FTSA exhibited neurotoxicity by affecting metabolic pathways such as dopaminergic synapses. This study elucidates the differential metabolic responses induced by PFOS and 6:2 FTSA in zebrafish embryos, providing a theoretical basis for assessing the health risks of PFOS alternatives.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025120801
The interaction between microplastic-derived dissolved organic matter (PSDOM) and iron oxides in soil environments can modulate its photosensitization effects, yet the underlying mechanisms remain elusive. This study investigated the influence of hematite with distinct morphologies—flake-shaped (HNPs) and cubic (HNCs)—on the photosensitization of polystyrene-derived dissolved organic matter (PSDOM). Under 500 W mercury lamp irradiation, both hematite morphologies promoted PSDOM degradation, with HNCs exhibiting superior performance: total organic carbon (TOC) decreased from 18.4 mg·L−1 to 12.3 mg·L−1 within 90 min, compared to 13.3 mg·L−1 for HNPs. Three-dimensional fluorescence spectroscopy indicated that hematite alters the humification process, thereby modifying photosensitization. Electron paramagnetic resonance (EPR) spectroscopy identified the generation of singlet oxygen (1O2), hydroxyl radicals (·OH), and carbon-centered radicals (CH3C(=O)OO·). HNCs significantly enhanced 1O2 production, while HNPs favored ·OH generation; both inhibited CH3C(=O)OO· formation. Quantitative analysis via high-performance liquid chromatography revealed that the steady-state concentration of 1O2 was highest with HNCs, reaching 2.80 times that of the PSDOM control, whereas ·OH concentration peaked with HNPs at 1.98 times the control. Notably, the steady-state concentration of 1O2 was approximately three orders of magnitude higher than that of ·OH. These findings elucidate the morphology-dependent role of hematite in PSDOM photosensitization, providing mechanistic insights into the environmental fate of microplastic-derived organic matter in complex soil systems.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025021902
Polyacrylonitrile (PAN) ultrafiltration membranes are widely used in water treatment, yet their anti-fouling performance remains a challenge. In this work, PAN was first reacted with sodium azide via click chemistry to synthesize 1,2,3,4-tetrazolium polyacrylonitrile (PAN-N). Subsequently, PAN-N was reacted with iodoacetamide (IAM), 2-iodoethanol (IH), iodoacetic acid (IA), and chlorosulfonic acid (CSA) to introduce hydrophilic groups, and anti-fouling PAN ultrafiltration membranes were fabricated via phase inversion. The membranes were characterized by Fourier transform infrared spectroscopy, 1H nuclear magnetic resonance, X-ray diffraction, scanning electron microscopy, and contact angle measurements. Results showed that the PAN-N membrane exhibited superior performance to pristine PAN, with water flux increasing from 0.9233 to 1.232 L·(m2·h·kPa)−1 and bovine serum albumin (BSA) rejection from 69.23% to 82.4%. Hydrophilic modification further enhanced performance; the PAN-N-IA membrane achieved the highest water flux of 1.7347 L·(m2·h·kPa)−1 and rejection of 93.57%. Anti-fouling tests revealed that modified membranes followed the order: PAN-N-CSA > PAN-N-IA > PAN-N-IH > PAN-N-IAM > PAN-N > PAN. PAN-N-CSA and PAN-N-IA showed comparable anti-fouling performance, with total fouling indices of 56.1% and 58.47%, reversible fouling indices of 47.17% and 46.97%, and irreversible fouling indices of 8.97% and 11.47%, respectively. This work demonstrates that PAN-N-IA membranes combine high flux, high rejection, and excellent anti-fouling properties, making them promising for water treatment applications.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025031001
The diffusive gradients in thin-films (DGT) technique has emerged as a promising tool for assessing the desorption kinetics and bioavailability of organic contaminants in soil. This study compared DGT, soil solution, and organic solvent extraction methods for evaluating the bioavailability of four sulfonamide antibiotics (SAs) in soil using pot experiments with Brassica rapa subsp. chinensis and Lactuca sativa. Results demonstrated that plant uptake of SAs depended on compound properties and plant species, with roots as the primary accumulation site. DGT-measured concentrations (CDGT) showed significant linear correlations with SA concentrations in both roots and leaves, and effective concentrations (CE) were positively correlated with plant tissue levels (P < 0.05). The soil solution method also showed predictive ability but with lower stability. The mass of SAs adsorbed by DGT increased non-linearly with deployment time, indicating that solid-phase resupply sustained long-term DGT uptake. DIFS model-derived soil-water partition coefficients (Kdl) ranged from 0.23 to 1.25 mL·g−1, with higher Kdl values corresponding to greater bioavailability. Response times (Tc) ranged from 2307 to 7523 seconds, with sulfamethoxazole (SMZ) exhibiting the highest Tc, indicating its release was most constrained. Meta-analysis of desorption parameters for other organic contaminants revealed that soil pH and particle size were key determinants of Kdl, while molecular volume and hydrophobicity influenced resupply rates. This study confirms the reliability of DGT for assessing antibiotic bioavailability in soil and provides fundamental data on their migration and fate.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202606005
In the context of carbon peaking and carbon neutrality, urban reclaimed water plants must adopt measures such as energy conservation, consumption reduction, and enhanced resource and energy utilization to achieve carbon neutrality. This study developed a carbon emission balance model and accounting method for such plants, incorporating strategies of carbon emission reduction, carbon substitution, and carbon sink. The optimal pathway towards carbon neutrality was evaluated based on the carbon emission balance ratio. Using a 1×10⁵ m³/d urban reclaimed water plant as a case study, the results showed total carbon emissions of 20,934 t CO2e. The carbon emission reduction from reclaimed water source heat pumps for heating and cooling was 21,701 t CO2e, yielding a carbon emission balance ratio of 103.7%. In contrast, other carbon reduction measures contributed 15,424 t CO2e, with a balance ratio of 73.7%, highlighting the pivotal role of reclaimed water source heat pumps. When the heat pump extracted 27% and 36% of residual thermal energy, coupled with reclaimed water reuse or sludge anaerobic digestion-cogeneration, respectively, both pathways achieved a 100% balance ratio. Assuming year-round extraction, the balance ratio reached 213%. The carbon reduction ratio between utilizing residual thermal energy and chemical energy was 8.76:1. This study demonstrates that urban reclaimed water plants can achieve carbon neutrality through multiple pathways, with residual thermal energy recovery exhibiting significant potential.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3986-2
Organic/molecular ferroelectrics exhibiting spontaneous polarization have attracted increasing attention due to their flexibility, light weight, low-temperature processability, environmental friendliness, and biocompatibility. Among them, organic donor-acceptor cocrystals, self-assembled from two or more components, offer new insights into ferroelectricity. This review systematically examines recent progress in organic donor-acceptor cocrystal ferroelectrics, focusing on microscopic origins of ferroelectricity, structure modulation strategies, and underlying mechanisms. Ferroelectric origin mechanisms, including intermolecular charge transfer, proton transfer, and order-disorder transitions, are analyzed in detail. Structure-property relationships in crystal engineering are summarized, and recent advances in theoretical simulations, experimental characterization techniques, and practical applications are introduced. Finally, current challenges and future research perspectives are outlined. The review highlights that weak intermolecular interactions often lead to low Curie temperatures (Tc), limiting practical applications. Strategies to enhance Tc involve introducing stronger molecular interactions to increase transition energy barriers. Notably, room-temperature ferroelectricity in organic cocrystals has been achieved, as demonstrated by Wiscons et al. (Angew Chem Int Ed, 2018, 57: 9044–9047). The review underscores the potential of organic cocrystal ferroelectrics for flexible and wearable electronics, while addressing the need for higher Tc and robust switching performance.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3820-5
Two novel N-heterocyclic carbene (NHC)-based ligands featuring rigid boron-oxygen (BO) fused-ring units, named Bpmi and Bpmb, and the two corresponding homoleptic meridianal iridium complexes, namely mer-Ir(Bpmi)3 and mer-Ir(Bpmb)3, were designed and synthesized. Single-crystal structures revealed a meridional coordination geometry for both complexes. Shorter Ir–C carbene bond lengths and rigid planar BO-fused ring units contribute to enhanced stability. Both complexes exhibit efficient green phosphorescence (λem = 536/521 nm in toluene, ΦPL > 78%) with short lifetimes (τ = 846/1083 ns), leading to high radiative rate constants (Kr = 10.04 × 10^5 and 7.29 × 10^5 s−1, respectively). Theoretical calculations indicate significantly increased metal-to-ligand charge transfer (MLCT) character (21.69% for mer-Ir(Bpmi)3; 17.30% for mer-Ir(Bpmb)3) compared to reference complexes (13.01% for mer-Ir(pmi)3; 15.99% for mer-Ir(pmb)3). Both complexes exhibit exceptional thermal stability with decomposition temperatures of 491°C (mer-Ir(Bpmi)3) and 540°C (mer-Ir(Bpmb)3). OLED devices using mer-Ir(Bpmb)3 and mer-Ir(Bpmi)3 as emitters demonstrate maximum external quantum efficiencies of 20.0% and 15.6%, respectively. This research pioneers boron-fused ring-containing NHCs and their phosphorescent iridium(III) complexes, establishing a novel design strategy for high-performance NHC-based OLED phosphorescent emitters.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3774-3
Lithium-air capacitor batteries (LACBs) integrate the rapid charge-discharge capability of supercapacitors into conventional lithium-oxygen batteries, significantly enhancing power density. However, their cycling stability remains unsatisfactory. In this study, we incorporated redox mediators (RMs) into an LACB featuring a dual-cathode configuration. This design facilitates sustained electron transfer between the electrode and Li2O2/Oxygen, thereby delaying RM deactivation caused by electrode passivation and improving overall electrochemical performance. The RM-enhanced battery achieved over 250 cycles at 2 mA cm−2 with a limited capacity of 0.5 mAh cm−2, while exhibiting a 0.54 V reduction in charging voltage at 0.1 mA cm−2 compared to the RM-free system. Furthermore, application of an aluminum foil sealing technique enabled a power density of 13.8 mW cm−2 at 6 mA cm−2, overcoming mass transport limitations inherent in open-cell configurations. We also investigated the influence of oxygen barrier films with varying barrier capabilities on LACB performance. Results indicate that films with superior oxygen resistance better maintain a clean capacitor electrode surface, thereby providing more stable electron supply to the RMs and enhancing rate capability and cycling performance. These findings underscore the potential of redox mediators in improving the performance and longevity of LACBs, offering a promising strategy for their future development.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3842-8
The metal-support interactions (MSIs) play a significant role in regulating the electronic structure of metal species on oxide; however, they are often overlooked on carbon-based supports. In this work, hollow nitrogen-doped carbon (H-NC) supported Ru nanoparticles catalyst (Ru/H-NC) was prepared by a solvothermal method using H-NC as support and RuCl3 as precursor. Subsequently, Ru/H-NC was annealed at different temperatures (Ru/H-NC t °C) to adjust the effect of MSIs between H-NC support and Ru nanoparticles. The X-ray photoelectron spectroscopy results showed that the MSIs between Ru species and H-NC support increased with the increase of temperature, and more electrons were transferred from Ru species to H-NC support, thus regulating the valence state of Ru. In hydrogen evolution reaction (HER), the as-synthesized Ru/H-NC 300 °C merely requires overpotential of 35.45 mV to achieve 10 mA/cm2 at low Ru mass loading of 24.03 μg/cm2 on the glassy carbon electrode. The cyclic voltammetry test revealed that the electrochemically active surface area increased first and then decreased with the increasing MSIs. Moreover, electrochemical impedance spectroscopy results showed that HER kinetics of Ru/H-NC t °C catalysts increased first and then decreased with the MSIs enhancement. The density functional theory calculations confirmed that the MSIs effectively optimize the adsorption strength of the key intermediates (H*, HO*) on Ru clusters, and thus greatly improve the catalytic performance of Ru/H-NC in HER.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3808-x
The uncontrollable Zn dendrites and serious parasitic side reactions of the zinc anode severely impede the practical application of aqueous zinc-ion batteries. In this work, a unique strategy of multipoint solvate coordination center is proposed, which anchors Zn2+ and H2O with complex sites to establish an intermolecular connection within the asymmetric solvation structure. A hydrated deep eutectic electrolyte based on multi-site methylurea (MU) with Janus properties is developed, in which Zn2+ and H2O interact with MU through Lewis acid-base and hydrogen bonding interaction, and the regulated asymmetric solvation configuration can guide the (002)-ordered Zn deposition. Simultaneously, a small amount of polyethylene glycol (PEG, Mw=20000) can facilitate homogenous (002) Zn deposition by suppressing Zn2+ transfer kinetics. Benefiting from the rationally regulated solvation structure and PEG molecules adsorbed onto Zn anodes, the side reactions and Zn dendrites are significantly inhibited. As a result, the Zn||Zn symmetric cell delivers outstanding cycling performance over 3900 h (1 mA cm−2, 0.5 mA h cm−2). In addition, the Zn||V2O5 battery maintains 79.2% capacity retention after 1000 cycles at 1 A g−1. The results suggest a promising oriented regulation strategy for sustainable aqueous zinc-ion batteries.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202502081
Coal dust from open-pit mining severely impacts the mining area and surrounding environment, exhibiting significant dynamic changes. However, quantitative assessments of the pollution extent and multi-timescale evolution remain insufficient. Based on the Google Earth Engine platform and Landsat TM/ETM+/OLI/OLI-2 and Sentinel-2 MSI imagery from 2001 to 2024, we retrieved the enhanced coal dust index (ECDI) and coal dust pollution levels. Combined with the mine lifecycle stages, we revealed the temporal and spatial variations of coal dust in the Baorixile mining area. Annual and monthly remote sensing retrievals were stacked to construct multi-year and intra-annual dust impact frequency (DIF) indicators, precisely quantifying the spatial extent and frequency of coal dust pollution. Results show that from 2001 to 2024, the interannual coal dust pollution experienced three stages: fluctuating increase, significant decrease, and stabilization. The average pollution degree peaked at 0.41 in 2010 and remained between 0.18 and 0.22 from 2016 to 2024. The spatial pattern improved, converging from widespread diffusion to the open-pit and bare coal accumulation areas. From 2019 to 2023, intra-annual pollution increased then decreased, with summer most severe, followed by autumn, spring, and winter. Based on annual retrievals, 6 periods of multi-year DIF (2001-2024) were generated at 4-year intervals. The maximum impact range (DIF≥1) first expanded then contracted significantly; the perennial impact area (DIF=4) shifted from the southeast to the central-western open-pit, indicating a notable migration of dust disturbance gravity and effective control. Based on monthly retrievals, 6 periods of intra-annual DIF (2019-2024) were generated at 12-month intervals. The intra-annual DIF showed a gradient decreasing from the core operation area to the periphery. High-frequency zones (DIF≥9) were stably concentrated in the open-pit. The affected area fluctuated downward from 88.14 km² in 2019 to 72.84 km² in 2024. This study provides theoretical and data support for scientifically understanding and monitoring the ecological status of mining areas and formulating dust suppression measures.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202505104
This study investigated the synergistic remediation of aged oil-contaminated soil collected from an oil well in Yanchang, northern Shaanxi, China, with an initial total petroleum hydrocarbon (TPH) concentration of 17.1 g·kg⁻¹, exceeding the second-class land use screening value (4,500 mg·kg⁻¹) by approximately 3.8-fold. Indigenous high-efficiency degrading strains were screened and a microbial consortium was constructed. Pot experiments were conducted to compare the TPH degradation efficiencies and soil property changes under plant, microbial, and combined plant-microbial remediation. The consortium MC-5 (SDB1:SDB2:SDB3:SDB4 = 1:1:0:3) exhibited the highest TPH degradation rate of 83.46% in liquid culture. In soil, combined remediation with ryegrass (Lolium perenne) achieved a TPH degradation rate of 60.93%, significantly higher than the control (CK) by 54.26 percentage points. The consortium also degraded recalcitrant resins and asphaltenes by 49.44%. The microbial consortium played a dominant role, contributing 63%–69% to TPH removal, whereas plant contribution was only 2%–12%, primarily in the later stage. Addition of rhamnolipid biosurfactant enhanced the combined remediation, increasing TPH degradation by 7.05 percentage points compared to non-amended treatments. These findings provide insights into the mechanisms of plant-microbial synergy and offer theoretical and practical guidance for bioremediation of petroleum-contaminated soils.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60678-0
Improper disposal of plastic waste represents both the loss of valuable resources and significant environmental threat. This study investigates the thermal liquefaction of high-density polyethylene (HDPE) using low-pressure superheated methanol. It systematically evaluates the effects of reaction temperature and the ratio of reactant to methanol on liquefaction efficiency and product characteristics. Results indicate that complete conversion of HDPE can be achieved in low-pressure superheated methanol (<0.5 MPa) at a minimum external heating temperature of 260 °C. Under this condition, oil yield reached 77.1% with alkanes comprising 62.3% of the product alongside minor oxygenated compounds. As temperature increased, the average carbon number of hydrocarbons gradually decreased. Below 260 °C, HDPE conversion decreased significantly, and products were primarily waxy. At 290 °C, the proportion of gasoline-like fractions (C6–C12) increased markedly from 16.6% to 80.9%. Furthermore, reactant ratio plays a critical regulatory role; extremes in ratio—either too high or too low—diminish heat transfer efficiency and reduce conversion. Mechanistically, liquefaction primarily involved cleavage of secondary C−C bonds, where resulting oligomers further cracked into free radicals to form diverse hydrocarbons through secondary reactions. This work demonstrates that low-pressure superheated methanol liquefaction is a mild, efficient, and pretreatment-free method to upcycle polyethylene into valuable fuels. Optimizing these process parameters can pave the way for industrial application, aiding in both plastic pollution management and sustainable resource recovery.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.3724/2097-213X.2025.JFCT.0034
Catalytic cracking of gasoline and diesel to light olefins is a pivotal route for high-value utilization of surplus fuels, typically employing zeolite catalysts. This study systematically investigates the effects of zeolite type and acidic properties on the catalytic cracking of dodecane, a diesel model compound, using SAPO-34, ZSM-5 with SiO2/Al2O3 ratios of 38, 85, and 200, and USY. Catalysts were characterized by XRD, SEM, N2 physisorption, NH3-TPD, and pyridine-FTIR, and evaluated in a fixed-bed reactor. Results demonstrate that zeolite type is the primary determinant of conversion and product distribution. SAPO-34, with 0.38 nm pores, achieved only 24.33% conversion and negligible BTX yield, with severe external coking. ZSM-5-38 and USY, with larger pores, achieved near-complete conversion; however, ZSM-5-38, possessing moderate acidity, yielded the highest light olefins (18.40%) and minimal coke (0.18%), while USY, with higher acidity, promoted hydrogen transfer and coking (12.90% coke). Within ZSM-5 series, lower acid site density (ZSM-5-200) proved optimal, achieving 97.79% conversion and a total light olefin yield of 41.93% (ethylene 11.11%, propylene 20.33%, butenes 10.49%) with low coke (0.43%). The study proposes reaction pathways and regulatory mechanisms, highlighting that zeolite type and acidity govern the relative rates of cracking, hydrogen transfer, oligomerization, aromatization, and coking, thereby dictating performance. These findings provide a rational basis for optimizing zeolite catalysts in commercial gasoline/diesel cracking processes.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2026020207
Although the production and use of hexabromocyclododecanes (HBCDs) have been completely banned in China since December 2021, historical production activities may still leave high-concentration residual contamination in localized areas. This study investigated a typical legacy site of historical HBCDs production in eastern China. Surface and core soil samples were systematically collected both inside and outside the former plant area to characterize the occurrence, spatial distribution, and environmental burden of HBCDs, and to evaluate associated human health risks. Results showed that HBCD concentrations in soils outside the plant area ranged from below detection limit to 6.90×10² ng·g⁻¹ dw, while those inside the plant area were substantially higher, reaching up to 1.18×10⁶ ng·g⁻¹ dw. γ-HBCD was the dominant isomer; however, its relative abundance was lower than that reported in commercial HBCD mixtures and in previous studies conducted near production facilities. Outside the plant, HBCDs concentrations in soil generally decreased with increasing distance from the site, yet remained detectable at a distance of approximately 10 km (15.2 ng·g⁻¹ dw). Within the plant area, HBCDs concentrations in soil cores decreased with depth, declining from 1.08×10⁴–1.18×10⁶ ng·g⁻¹ dw in surface soils to 1.05–93.5 ng·g⁻¹ dw at depths of about 4 m. Analysis of the relative cumulative environmental burden indicated that although HBCDs loads were highest in the near-source area, they gradually accumulated over a broader spatial scale. Approximately 23.7%, 40.1%, 60.0%, and 87.1% of the total estimated burden accumulated within 2 km, 2.81 km, 4 km, and 6 km from the site, respectively. Health risk assessment indicated that oral ingestion of soil was the primary exposure pathway for different populations. Localized high-contamination zones within the plant area contributed significantly to non-carcinogenic risks, while overall risks for children outside the plant area were at acceptable levels.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025102801
This study develops a multivariate time-series forecasting model for water quality in the Lhasa River, focusing on four key indicators: water temperature, pH, dissolved oxygen, and turbidity. Data preprocessing integrated multiple missing-value imputation strategies and interquartile range (IQR) outlier removal. Boxplots and relative standard deviation (RSD) assessed data distribution and dispersion, while autocorrelation and Pearson correlation analyses revealed periodic patterns and inter-variable relationships. Four representative algorithms—Support Vector Regression (SVR), Extreme Gradient Boosting (XGBoost), CNN-BiLSTM-Attention, and TCN-Transformer—were optimized via Bayesian hyperparameter tuning. Model performance was evaluated using MAE, MSE, RMSE, and R². The study systematically compared the effects of different missing-value handling methods, both independently and combined with IQR outlier removal. Results indicate that CNN-BiLSTM-Attention excels in water temperature prediction, suitable for relatively stable and simple patterns. In contrast, TCN-Transformer demonstrates superior performance for pH, dissolved oxygen, and turbidity, which exhibit strong nonlinearity and long-term dependencies, effectively capturing temporal dependencies and coupling relationships. The findings provide a viable technical route and theoretical reference for river water quality monitoring and intelligent early-warning systems.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202607011
Anaerobic digestion (AD) is a viable route for energy recovery from food waste (FW), yet it often suffers from process instability due to volatile fatty acids (VFAs) accumulation and subsequent pH drop. This study modified red mud (RM) with hydrochloric acid to produce acid-modified red mud (AMRM), aiming to optimize its alkalinity and physicochemical properties. The efficacy of AMRM as an additive in FW anaerobic digestion was systematically evaluated. Results demonstrated that adding 3% AMRM significantly enhanced the buffering capacity and controlled VFAs accumulation, particularly propionic acid. This was attributed to the developed pore structure of AMRM, whose specific surface area increased by 347% compared to raw RM, facilitating rapid VFAs adsorption. Furthermore, AMRM enriched hematite (Fe2O3), which elevated electron transport system (ETS) activity and coenzyme F420 content, suggesting its role as an electron carrier promoting direct interspecies electron transfer (DIET) between syntrophic bacteria and methanogens. Consequently, the cumulative methane yield reached 633.9 mL/g VS, which was 175.1% and 55.2% higher than the control and raw RM groups, respectively. The VS removal efficiency was 75.1%. This study provides a dual-pathway mechanism—adsorption and electron transfer—for enhancing AD performance, offering a cost-effective and sustainable strategy for FW treatment and RM valorization.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202607014
Reducing ammonia emissions and recovering lost nitrogen are critical for enhancing nitrogen content in compost. Biological trickling filters, as end-of-pipe odor control, retain ammonia nitrogen in effluent, offering a reuse pathway. However, the impact of nitrogen-rich wastewater reuse within the optimal C/N range (20.0:1–30.0:1) remains unclear. This study composted biogas residue, sawdust, food waste, and mushroom residue, setting initial C/N as the control variable. Four groups were established: low C/N with nitrogen-rich wastewater (LRN), low C/N with deionized water (LRW), high C/N with nitrogen-rich wastewater (HRN), and high C/N with deionized water (HRW). Simulated wastewater (2000 mg/L NH4+-N and 2000 mg/L NO2−-N) was recycled. Results showed no inhibition of final maturity; pH (8.17–8.48) and seed germination index (GI) (90.85%–122.96%) met organic fertilizer standards. HRN reduced cumulative total greenhouse gases, N2O, and NH3 by 20.32%–30.35%, 0.67%–53.38%, and 52.14%–62.15% compared to LRN and LRW. Although HRN emissions were slightly higher than HRW (total GHGs +4.56%, NH3 +4.99%), HRN final nitrogen content (4691.27 mg/kg) exceeded HRW (4514.96 mg/kg), attributed to sufficient carbon enhancing microbial assimilation. Conversely, low C/N with nitrogen-rich wastewater increased NH3 and N2O emissions (LRN vs LRW: +26.43% and +112.99%) due to carbon limitation. Thus, high initial C/N with nitrogen-rich wastewater reuse effectively reduces gaseous nitrogen loss and greenhouse gas emissions while maintaining compost maturity.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202607021
The continuous expansion of urban sewage treatment capacity has led to a sustained increase in sludge generation, making efficient treatment, disposal, and resource recovery critical in environmental engineering. Machine learning (ML) offers substantial potential for prediction and optimization in sludge treatment by extracting non-linear features from complex operational data. This review systematically examines the application of ML across typical sludge treatment processes, including dewatering, resource recovery (anaerobic digestion), and terminal disposal (incineration and landfill). The general modeling workflow is summarized across three dimensions: dataset preparation, algorithm selection, and model evaluation. A comparative analysis evaluates the applicability and limitations of support vector machines (SVM), random forests (RF), artificial neural networks (ANN), and other deep learning models. SVMs demonstrate greater stability with small-to-medium sample sizes and high-dimensional data, while RFs exhibit strong generalization and provide variable importance insights. ANNs and deep learning models excel in large-scale data and time-series or image tasks but require high data quality. Key findings from the literature include ANN achieving R²=0.99 and RMSE=0.02 in dewatering prediction, and R²=0.86 with NRMSE=0.31 in anaerobic digestion, while gradient boosting reached R²=0.90 and RMSE=0.33. Future directions emphasize multi-source data fusion, model interpretability (e.g., SHAP), and coupling ML with mechanistic models to enhance predictive accuracy and generalization, supporting intelligent and refined sludge treatment management.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202607022
Anaerobic sludge digestion is the core process for achieving energy recovery and sludge reduction in wastewater treatment plants. However, its complex biological reaction mechanisms and multivariable coupling characteristics pose persistent challenges to process optimization and stable control. Traditional mechanistic models, while theoretically clear, suffer from parameter calibration difficulties and insufficient adaptability under dynamic and nonlinear conditions. Machine learning (ML) has gained attention for its powerful data modeling capabilities. This review systematically examines ML applications in sludge anaerobic digestion, focusing on biogas production prediction, process monitoring and early warning, and process parameter optimization. For gas production, hybrid models and deep learning achieve high-precision methane yield predictions. Soft-sensing models using easy-to-measure parameters enable real-time estimation of volatile fatty acids and total ammonia nitrogen. At the optimization level, coupling surrogate models with optimization algorithms provides dynamic regulation strategies for co-digestion ratios and pretreatment conditions. Interpretable methods address the 'black-box' issue, enhancing engineering acceptability. Deep integration of these methods with dynamic optimization supports an intelligent decision-making framework. However, translation from laboratory to engineering faces constraints including data quality, model generalization, and implementation. This paper provides an analytical framework combining predictive capability with engineering reliability for sludge treatment optimization.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3981-7
Solution-processable quasi-2D perovskites are promising laser gain media due to their high exciton binding energy and improved stability relative to 3D counterparts. However, conventional synthesis yields mixed n-value phases, introducing interfacial defects and energetic disorder that impede charge injection into desired emission centers. Here, we report the first demonstration of stimulated emission from a phase-pure quasi-2D perovskite (n=8) achieved via a solvent-sieving method for selective phase removal. This dynamic purification yields near-unity phase purity (99.85%) with no detectable low-n phases, as confirmed by X-ray diffraction and ultraviolet-visible spectroscopy. The phase-pure film exhibits a narrower and more intense (001) diffraction peak (FWHM 0.16 nm, intensity 16,129) compared to pristine films (FWHM 0.22 nm, intensity 3,304), indicating enhanced crystallinity and increased grain size. Time-resolved photoluminescence reveals a prolonged carrier lifetime of 6.98 ns, suggesting reduced trap density. Atomic force microscopy shows a nearly pinhole-free surface with root mean square roughness of 1.18 nm. Consequently, the amplified spontaneous emission threshold is reduced to 13.82 μJ cm−2, a 12.5% improvement over conventional mixed-phase films (15.8 μJ cm−2). This work provides an efficient route to pure-phase quasi-2D perovskites for low-threshold lasers.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3917-x
The escalating global challenge of antibiotic contamination demands advanced sensing technologies for environmental monitoring and public health protection. Here, we present a structurally well-defined, intercalation-engineered metal-organic framework (MOF), HSB-W18, which functions as an ultrasensitive and selective fluorescence sensor for fluoroquinolone antibiotics. Single-crystal X-ray diffraction analysis unambiguously determined both the framework architecture and the spatial organization of intercalated 2,5-dihydroxyterephthalate molecules at atomic resolution. Through ultrasound-assisted synthesis, highly stable book-shaped microsheets (HSB-W18-MS) were obtained, maintaining exceptional aqueous dispersibility and luminescence intensity for over one month. These microsheets offer distinct advantages for antibiotic detection: specific recognition of diverse fluoroquinolones via unique fluorescence signatures; highly sensitive ratiometric detection of enoxacin (ENX) with a limit of detection (LOD) of 5.62 nM and rapid response kinetics (<30 s); exceptional selectivity alongside reusability. Systematic mechanistic investigations revealed a synergistic detection process involving multiple photophysical pathways. Furthermore, a smartphone-based portable detection system was successfully implemented, and the practical utility of the sensor was validated by quantifying ENX in complex environmental samples: tap water LOD = 18.32 nM and river water LOD = 29.87 nM. This study contributes to fundamental materials science and environmental monitoring by elucidating discernible structure-property relationships in intercalated MOFs, demonstrating a robust platform for field-deployable antibiotic detection and proposing an innovative design paradigm for environmental optical sensors.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3967-x
Metal-halide perovskites exhibit exceptional optical gain, narrow emission linewidths, and high emission efficiency, positioning them as promising candidates for next-generation lasers. Thermal evaporation, a mature semiconductor fabrication technique, offers scalability, yet monitoring phase distribution during deposition remains challenging. This study systematically investigates and regulates thermally evaporated FAxCs0.8PbBr3 perovskite films by tuning formamidinium (FA) content to optimize phase distribution. At intermediate FA content, films achieve a balanced distribution of n=2 to n=5 quantum-well phases, facilitating ultrafast carrier transfer (<0.31 ps) and suppressing nonradiative recombination. FA+ actively incorporates as an A-site cation, promoting ordered crystallization and reducing defect densities. The optimized films exhibit a net modal gain of 1041 cm−1 and a gain lifetime of 129 ps. Benefiting from efficient internal scattering, the threshold for cavity-free random lasing is reduced to below 5 μJ/cm2 at room temperature. The low spatial coherence of random lasing enables speckle-free imaging with a speckle contrast as low as 0.011 and improved contrast-to-noise ratios across all spatial frequencies. This work provides a scalable strategy for perovskite composition-phase engineering, advancing speckle-free laser imaging systems compatible with semiconductor-grade, large-area manufacturing.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4011-7
Biomass-derived room-temperature phosphorescence (RTP) carbon dots (CDs) hold great promise for anti-counterfeiting and information encryption. However, achieving solid-state matrix-free long-lived CDs with time-dependent phosphorescence colors (TDPC) remains challenging due to aggregation-induced quenching. Here, solid-state matrix-free RTP phosphorus-doped CDs (P-CDs) are developed via one-step hydrothermal treatment of feather powder and phytic acid. The resulting P-CDs powder exhibits bright blue fluorescence under UV illumination and unprecedented TDPC shifting from yellow to green after UV removal, with afterglow lasting 12 s (average lifetime 1.15 s). Enhanced RTP is attributed to increased triplet-state excitons via spin-orbit coupling induced by P-doping. A dual-mode luminescent ink formulated by combining P-CDs with polyvinyl alcohol (PVA) is successfully applied to commercial A4 paper, showing pronounced TDPC (light-yellow to green) with improved RTP lifetime (1.31 s) after ceasing UV irradiation. The P-CDs/PVA ink demonstrates excellent anti-counterfeiting and information encryption capabilities, outstanding luminescent durability, and broad practicability on cellulosic substrates including fabric and paper. These findings provide a strategy for exploiting matrix-free solid-state RTP P-CDs with distinctive TDPC properties and offer a sustainable route to converting feather wastes into high-value materials.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4012-4
Stimuli-responsive fluorescent hydrogels, owing to their tunable optical properties and unique smart response characteristics, have significant potential in encryption applications and information security. However, most current systems are limited to single-stimulus responsiveness and lack the capability for programmable information erasure or multi-modal dynamic synergy. Hence, we propose a multi-stimuli-responsive phase-change hydrogel incorporating aggregation-induced emission hydrophobic carbon dots (AIE-HCDs) and polyethylene glycol (PEG)-cellulose network, demonstrating dynamic fluorescence chromism under various external triggers. The hydrogel exhibits solvent-exchange-triggered fluorescence color changes from blue to red, enabled by the concentration modulation of AIE-HCDs through the exchange between PEG and water. Additionally, the temperature-induced phase transition of PEG from crystalline to molten state modulates the aggregation and dispersion of AIE-HCDs, thereby enabling dynamic fluorescence color changes. The phase transition further confers excellent shape-memory behavior and adjustable mechanical properties, with the tensile modulus varying from 6.28 MPa in the molten state to 36.23 MPa in the crystalline state, while maintaining high transparency (~88% in the molten state). By utilizing micro-contact printing and the multi-stimulus response, an encryption platform enables information to be hidden, selectively read under sequential stimuli (thermal, UV, and solvent), and completely erased upon demand. This strategy demonstrates significant potential for advancing high-level information encryption and anti-counterfeiting technologies.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202511043
Zero-valent iron (ZVI) suffers from surface passivation and low electron utilization in reductive removal of nitrobenzene (NB). To address these issues, a ball-milled iron/digestate biochar composite (BM-Fe/DBC) was prepared and compared with a physically mixed counterpart (PM-Fe/DBC). Characterization revealed that ball milling tightly embedded ZVI particles into the carbon matrix, forming Fe–C chemical bonds and a strong interfacial coupling structure that established efficient electron transfer channels. This structure significantly enhanced the micro-galvanic effect between iron and carbon, yielding superior reduction performance across a wide pH range (3–9). Under optimal conditions (Fe:C mass ratio 2:1, dosage 1.0 g·L−1, pH 5), BM-Fe/DBC achieved 79.9% NB removal, and the generation of aniline (AN) was 1.85 times that of PM-Fe/DBC. Mechanistic studies indicated that the intimate Fe–C interfacial coupling promoted sustained ZVI corrosion and enhanced the production of indirect reducing species, including adsorbed Fe(II) and atomic hydrogen (H*). Electrochemical analyses showed that BM-Fe/DBC exhibited a lower corrosion potential, a higher corrosion current density (approximately 2.15 times higher), and lower charge transfer resistance, kinetically confirming its superior electron transfer capability. These findings reveal that constructing strong interfacial coupling in iron–carbon composites via mechanochemical methods can effectively overcome key limitations of ZVI in reduction reactions, providing a theoretical basis and practical pathway for designing high-performance water treatment materials.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202511095
To address the low temporal resolution of conventional monthly dustfall monitoring and the lack of component information, this study proposed a daily dustfall measurement method that adds a filtration step to the Chinese standard method, referencing international standards. Using a sand-core filtration device with quartz or mixed cellulose ester membranes, the method achieved a spiked recovery of 101.1% ± 1.2%, good parallelism (y = 0.95x + 0.28), and satisfactory temporal closure. During autumn–winter (November 2020 to March 2021) at a representative site in Xicheng District, Beijing, daily dustfall ranged from 0.06 to 2.33 t·(km²·d)−1. Days with daily dustfall exceeding 0.7 t·(km²·d)−1 accounted for only 4% of the sampling days but contributed 25% of the total dustfall, with high values mainly occurring in January, March, and December. The insoluble fraction averaged 83% ± 12%, and a logarithmic model (y = 9.36ln(x) + 99.98) was established to estimate the insoluble proportion from insoluble dustfall (x, ≤1.00). Daily dustfall showed a strong positive correlation with average wind speed, and an exponential prediction model (y = 0.06e0.61x) was derived. Windy conditions (≥3 on the Beaufort scale) significantly amplified dustfall. The study recommends suspending earthwork, covering bare ground, and increasing watering frequency during high-wind alerts to mitigate dust pollution. This work provides a reliable method for high-resolution dustfall monitoring and insights for targeted pollution control in urban core areas.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202512052
Constructed wetlands (CWs) with conventional substrates often exhibit limited removal of nitrogen and antibiotics from secondary effluent. This study developed an iron-carbon-manganese ore (Fe-C-Mn) composite substrate CW to enhance simultaneous removal of nitrogen and tetracycline (TC). Under influent TC of 2 mg·L−1 and total nitrogen (TN) of 15 mg·L−1, the Fe-C-Mn system achieved average TC removal of 91.3%, significantly higher than the gravel control (27.2%). TN and nitrate nitrogen (NO3−-N) removals reached 71.7% and 83.3%, respectively, versus 7.8% and 1.2% in the control. Substrate analysis revealed increased surface roughness and synergistic generation of active components (Fe(II)/Fe(III) and Mn(II)), driving autotrophic denitrification and TC biodegradation/chemical degradation. Microbial community analysis indicated reduced overall diversity but selective enrichment of potential TC degraders (e.g., Trichosporon, Bacillota) and denitrifiers (e.g., unclassified_f_Rhodocyclaceae). TC degradation pathways included demethylation, hydroxylation, and ring-opening, ultimately yielding small metabolites. These findings provide theoretical and technical support for enhanced removal of antibiotics and nitrogen from secondary effluent using CWs.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202512014
Mining activities cause severe soil degradation and microbial diversity loss, impeding ecological restoration. This study evaluated the effects of a novel soil amendment, microporous bio-gravel (MBG), on bacterial and fungal community structure and function in degraded soil from the Baiyinhua open-pit mine, Inner Mongolia. A pot experiment with four MBG-to-soil volume ratios (CK, L=1:3, M=1:2, H=1:1) was conducted, with a simplified plant community and uniform fertilization. After 180 days, soil samples were analyzed via high-throughput sequencing and bioinformatics. Results showed that the medium ratio (M) significantly increased fungal Shannon index and evenness, while the high ratio (H) negatively affected bacterial communities. At phylum and genus levels, MBG promoted enrichment of Cyanobacteria and specific functional groups (e.g., nitrogen-fixing bacteria, Bacillus). Co-occurrence network analysis revealed peak complexity, modularity, and average degree in bacterial and fungal networks under the M treatment. Functional prediction indicated significant enrichment of pathways related to lipopolysaccharide biosynthesis, nitrotoluene degradation, and plant-pathogen interactions, alongside increased abundance of saprotrophic and ectomycorrhizal fungi. Mantel and VPA analyses showed that MBG indirectly regulated microbial community structure by improving soil physicochemical properties and plant traits, with stronger effects on fungi than bacteria. In conclusion, MBG optimizes the soil microhabitat and plant-soil-microbe interactions, modulating microbial diversity, network complexity, and functional potential. The medium ratio (1:2) was most effective, demonstrating potential for ecological restoration of degraded mine soils.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202511054
A novel S-scheme heterojunction photocatalyst, Bi6O5(OH)3(NO3)5·3H2O/BiOBr0.8I0.2 (BON@BI), was synthesized via a one-step hydrothermal method using Bi6O5(OH)3(NO3)5·3H2O (BON), KBr, and KI as precursors. The mass ratio of BON to BiOBr0.8I0.2 (BI) was optimized, revealing that the 20% BON@BI composite (BON@BIOPT) exhibited the highest visible-light photocatalytic activity. Under 30 min of visible-light irradiation, BON@BIOPT achieved a 99.8% degradation efficiency of Rhodamine B (RhB), approximately twice that of pristine BI (52.2%). The composite displayed a rod-like morphology with uniform nanosheets, and its specific surface area increased from 32.54 m²·g⁻¹ (BI) to 44.7 m²·g⁻¹. The absorption edge red-shifted from 560 nm (BI) to 580 nm, narrowing the bandgap from 2.55 eV to 2.43 eV. The S-scheme heterojunction formed between BON and BI generates an internal electric field that effectively suppresses recombination of strongly reducing photogenerated electrons and strongly oxidizing holes, with superoxide radicals (O₂•⁻) and holes (h⁺) identified as the primary reactive species. BON@BIOPT exhibited excellent stability, retaining 88.6% degradation efficiency after seven consecutive cycles. It also demonstrated robust environmental adaptability, maintaining 85–98% degradation efficiency under various pH conditions and in the presence of interfering anions. The degradation pathway of RhB involves N-de-ethylation, cleavage of the conjugated chromophore, and deamination, ultimately mineralizing into low-molecular-weight organics, inorganic salts, CO₂, and H₂O. These results underscore the potential of BON@BIOPT for practical remediation of organic pollutants in water.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025041502
Microplastics (MPs), defined as plastic particles smaller than 5 mm, are ubiquitous environmental contaminants with documented presence in urban, rural, marine, remote, and polar atmospheres. The atmosphere serves as a primary medium for their long-range transport, raising concerns regarding climate interactions and human health. This review synthesizes recent advances in atmospheric MPs research, encompassing sampling strategies, pretreatment protocols, analytical techniques, occurrence characteristics, and ecological ramifications. Passive and active sampling methods are delineated, with active samplers enabling quantitative flux measurements. Pretreatment typically involves sequential steps of sieving, density separation, digestion, staining, and filtration to isolate MPs from complex matrices. Identification relies on visual inspection, micro-Fourier transform infrared spectroscopy (μ-FTIR), micro-Raman spectroscopy, laser direct infrared imaging (LDIR), and mass spectrometry. Reported atmospheric MPs predominantly exhibit dimensions below 700 μm, with fibrous morphologies being most prevalent. Color distribution is dominated by black, followed by white and transparent particles. Over 20 polymer types have been identified, with textiles, tire wear, and dust identified as principal sources. Atmospheric MPs can influence solar radiation balance, cloud formation processes, and pose risks to flora, fauna, and human health. However, research remains nascent; standardization of sampling and analytical protocols, along with comprehensive toxicological assessments, are critical knowledge gaps requiring urgent attention.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025041405
Microplastics, as a class of emerging environmental contaminants, pose global concerns due to their potential ecological and human health impacts. Accurate identification and quantification of microplastics in environmental matrices are essential for assessing their environmental fate and ecological risks. Pyrolysis-based analytical methods, which decompose macromolecules into smaller fragments followed by gas chromatographic separation and mass spectrometric detection, offer high sensitivity and accuracy, making them significant for microplastic analysis. Despite these advantages, their application remains nascent, with limited comprehensive understanding of their applicability across diverse environmental media. This review systematically compares three pyrolysis-based techniques—pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS), thermogravimetry-differential scanning calorimetry (TGA-DSC), and thermal extraction-desorption gas chromatography-mass spectrometry (TED-GC-MS)—for microplastic detection in various matrices. The effectiveness of each method is evaluated in terms of sensitivity, selectivity, and matrix compatibility. Critical challenges, including lack of standardized protocols, complex sample pretreatment requirements, and limitations in quantifying mixtures, are identified. Future research directions emphasize the need for standardization, optimization of pretreatment for complex matrices, and integration with complementary techniques such as FTIR and Raman spectroscopy to enhance comprehensive microplastic characterization. This review provides a critical framework for selecting appropriate pyrolysis-based methods and highlights areas requiring further methodological development.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025051802
This study investigates the recovery of nitrogen and phosphorus from anaerobic digestion biogas slurry of chicken manure via magnesium-modified zeolite coupled with electrochemical precipitation crystallization. Three types of magnesium-modified zeolites were prepared using alkali activation and magnesium loading to enhance adsorption capacity. A coupled 'magnesium-modified zeolite-electrochemical MAP' reactor was constructed, and key parameters (N/P ratio, pH, current density) were optimized via response surface methodology. The results show that MgCl2-modified zeolite (MgCl2-ZO) exhibited the best coupling precipitation performance. Under optimal conditions (N/P ratio 3.78, pH 8.43, current density 13.11 A·m−2), the removal efficiencies for total nitrogen (TN), total ammonium nitrogen (TAN), total phosphorus (TP), and total phosphate (TPS) reached 54.84%, 62.93%, 82.02%, and 77.72%, respectively. The mechanism involves synergistic adsorption and electrochemical release of Mg2+ from the magnesium electrode, which promotes struvite crystallization. The electrochemical field enhances ion exchange and chemical precipitation on the zeolite surface, facilitating efficient nutrient recovery. This approach offers a promising solution for nutrient management in livestock wastewater.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202608023
Zinc-containing steel dust sludge, a by-product of steelmaking, contains high levels of chlorine (Cl) along with valuable metals such as Fe, Zn, K, and Na. When recycled into the steel production process, Cl accumulates, causing sintering instability and severe corrosion of blast furnace linings. This study investigated water leaching for Cl removal from zinc-containing steel dust sludge. Under optimal conditions (liquid-to-solid ratio 5 mL/g, temperature 70 °C, time 60 min, rotation speed 160 r/min), the Cl leaching rate reached 87%. Furthermore, a three-stage countercurrent water washing process at a liquid-to-solid ratio of 6 mL/g and room temperature for 45 min achieved a Cl leaching rate exceeding 90%. The water washing also reduced the leaching toxicity of metals in the sludge to a certain extent. Characterization via XRD, SEM, FT-IR, and XPS revealed that water washing primarily dissolved soluble chlorides (NaCl, KCl, etc.), increasing the specific surface area from 2.71 to 10.11 m²/g and average pore size from 12.83 to 16.29 nm. These findings provide theoretical and technical support for efficient Cl removal from zinc-containing steel dust sludge, facilitating its safe resource utilization.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4055-6
The global pursuit of clean energy and environmental remediation has intensified research into solar-driven photocatalysis, with g-C3N4 emerging as a leading metal-free polymer semiconductor. Between 2020 and 2025, significant advances have been achieved in overcoming the inherent limitations of pristine g-C3N4, such as restricted light absorption (wavelengths <460 nm), rapid charge recombination, and insufficient active sites, through sophisticated modification strategies. This period has witnessed the refined development of elemental doping, defect engineering, heterostructure construction, and cocatalyst loading, each playing a critical role in enhancing optical properties, charge separation efficiency, and surface reactivity. Contemporary research increasingly focuses on band structure precision engineering, interfacial charge transfer pathways, and defect-mediated catalytic mechanisms. These developments are underpinned by advanced characterization techniques, including X-ray absorption spectroscopy, in-situ Fourier transform infrared spectroscopy, femtosecond transient absorption spectroscopy, Kelvin probe force microscopy, in-situ X-ray photoelectron spectroscopy, and electron paramagnetic resonance. Looking forward, emerging trends such as AI-guided material design, atomic-scale defect control, and operando analysis are shaping the next generation of high-efficiency g-C3N4 photocatalysts, offering a promising outlook for their application in sustainable energy conversion and environmental remediation.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3969-9
Phosphor-in-glass (PiG) materials are promising color converters for high-power laser illumination, yet suppressing interfacial reactions between phosphor and glass matrix at elevated sintering temperatures remains a critical challenge. Here, we report a Y3Al5O12:Ce3+ (YAG:Ce) phosphor-in-silica glass (PiSG) with high SiO2 content (>85 wt%) fabricated via a Cs2CO3 flux. Incorporation of Cs2O significantly inhibits SiO2-YAG:Ce reactions, preserving internal quantum efficiency (IQE) at 97.7% of pure YAG:Ce, and achieving 88.3% IQE even after calcination at 1400°C for 2 h. In contrast, smaller alkali ions (Li+, Na+) accelerate YAG:Ce decomposition. Mechanistic studies reveal that Cs+ with large ionic radius and weak interaction with oxygen suppresses non-bridging oxygen (NBO) formation, promoting a complete silica network that limits alkali ion diffusion. Leveraging the mixed alkali effect (10% Li2O + 5% Cs2O), the PiSG exhibits enhanced hydrothermal stability, withstanding 200°C treatment for 10 h. A PiG film-sapphire device delivers 3080 lm luminous flux and 213 lm W−1 efficiency under blue laser excitation. These findings establish YAG:Ce-PiSG as a highly promising color-conversion material for high-performance laser illumination.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4158-6
Near-infrared piezochromic materials exhibiting luminescence responses are critical for mechanical sensors and storage devices. Covalent organic frameworks (COFs), as crystalline porous materials, combine structural adaptability with tunable photophysical properties, yet their piezochromic applications remain underexplored. Here, we report a series of donor-acceptor structured two-dimensional COFs (2D COFs) with bright red emission, all showing pronounced red-shifts spanning red to near-infrared regions. Notably, Py-BO-COF exhibits the largest piezochromic shift of 187 nm with a high sensitivity of 44.52 nm GPa−1, significantly surpassing Py-BT-COF, TPE-BO-COF, and most reported COF/MOF systems. Py-BO-COF also demonstrates fully reversible and repeatable emission switching over multiple cycles, maintaining excellent linearity without degradation. In situ spectroscopic analyses and theoretical simulations reveal that variations in piezochromic rates arise from differences in charge-transfer (CT) processes, while the pronounced red-shift in Py-BO-COF is associated with reduced interlayer distance and enhanced coplanarity. This study systematically establishes the structure-property relationship in piezochromic 2D COFs, offering strategic guidance for designing highly sensitive and reversible pressure-responsive materials, thereby advancing smart piezochromic systems.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4021-5
Lead-free halide double perovskites have attracted significant attention owing to their eco-friendliness, structural tunability, and self-trapped exciton emission. Nevertheless, achieving efficient and stable near-infrared-II (NIR-II) luminescence, especially in materials incorporating lanthanide ions, remains a considerable challenge in photonics research. Herein, we report a notable advance in the design and synthesis of Sb3+-sensitized Cs2NaLuCl6:Er3+ double perovskite single crystals, which exhibit an unprecedented external quantum efficiency of 45.3% for emission at 1542 nm. Sb3+ acts as a broadband ultraviolet absorber and transfers energy to Er3+ via self-trapped exciton emission. Moreover, at high concentrations of Er3+, Er3+-Er3+ cross relaxation (2H11/2 + 4I15/2 → 4I9/2 + 4I13/2) selectively populates the NIR-emitting 4I13/2 state, suppressing competitive visible emission pathways. This synergistic host-sensitizer-activator design strategy, supported by density functional theory calculations, addresses long-standing efficiency limitations and opens new avenues for high-performance NIR-II emitters in bioimaging, night vision, and optical communications.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4004-3
The development of efficient and stable oxygen evolution reaction (OER) electrocatalysts is critical for clean energy technologies, yet conventional cobalt-based spinel catalysts often suffer from insufficient activity and structural instability under operating conditions. To address these challenges, this study proposes and constructs a cation-ordered spinel-like catalyst (HVI Metal-CoMoO4/NF). The unique crystalline framework induces significant Jahn-Teller distortion and pre-stabilizes a Co2+/Co3+ mixed-valence state at the cobalt active centers via asymmetric Co–O–Mo bridges, effectively optimizing bulk charge transport. Electrochemical tests demonstrate that its performance significantly surpasses that of benchmark materials, requiring only an overpotential of 307 mV to drive a current density of 100 mA cm−2 in 1.0 M KOH, with a Tafel slope of 63.13 mV dec−1, maintaining stable operation for over 320 h at high current density. Crucially, our structural and in situ characterization results clearly reveal a stable and well-crystallized reconstruction behavior from the surface into the bulk of the spinel-like pre-catalyst during the OER. This work fundamentally addresses the challenges of disordered reconstruction and unstable active phases in traditional spinel catalysts, providing a paradigm for regulating the dynamic evolution of electrocatalysts through precise structural design.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3978-0
All-polymer solar cells (all-PSCs) are promising for flexible and wearable electronics due to their excellent stability and mechanical stretchability. However, achieving high performance remains challenging due to difficulties in controlling the morphology of polymer blend films. In this study, a novel polymer donor, PBDTF-DTP, incorporating a weak electron-withdrawing yet large-dipole-moment dithienylphthalimide (DTP-2T) unit, was rationally designed and synthesized for ternary all-PSCs. Introducing PBDTF-DTP as a guest donor enables complementary light absorption and deepens the highest occupied molecular orbital level, simultaneously improving short-circuit current density (J_SC) and open-circuit voltage (V_OC). The large dipole moment of DTP-2T increases the dielectric constant, suppressing non-radiative energy loss and further boosting V_OC. Notably, PBDTF-DTP exhibits a relatively higher molecular electrostatic potential than the host donor, effectively tuning compatibility with both polymer donor and acceptor, regulating blend morphology, and promoting formation of a nanoscale fibrillar network. This optimized morphology facilitates efficient charge generation and transport while suppressing charge recombination. Consequently, ternary all-PSCs based on PM6:PBDTF-DTP:PYIT achieve a synergistic enhancement in J_SC, V_OC, and fill factor, yielding a remarkable power conversion efficiency of 18.01%, significantly higher than that of binary PM6:PYIT devices (15.51%). This study demonstrates that combining electrostatic potential optimization with a ternary strategy provides an effective approach to regulate morphology and achieve high-efficiency all-PSCs.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4009-0
Micro light-emitting diode (Micro-LED) display technology is a promising next-generation display technology due to its high brightness, high contrast, low power consumption, long life, and fast response. However, aggressive downscaling of Micro-LEDs to a few microns makes lift-off fabrication of metal bumps for soldered joints between Micro-LEDs and driver substrates increasingly difficult, challenging high-yield bump arrays under high-density conditions. This study innovatively replaces conventional metal bumps with a photosensitive conductive polymer (PCP), enabling fabrication of polymeric micro-bump arrays via well-established photolithography, bypassing complex lift-off processes and reducing short-circuit risk. Isopropyl alcohol regulates developer wettability for optimal development, yielding bump arrays with bump size 20 μm × 12 μm and height (1.9288 ± 0.0213) μm on thin-film transistor (TFT) drivers with yield over 99.99%. The issue of low bonding yield from polydimethylsiloxane (PDMS) thermal expansion was resolved by adjusting chip spacing on the temporary substrate, achieving bonding yield exceeding 99.8%. A 0.99-inch full-color Micro-LED display with density 114 pixels per inch (PPI) and brightness 5537 cd/m² was fabricated. High-yield bump arrays, Micro-LED arrays, and high bonding yield are highly reproducible, promoting development of Micro-LED displays and related fields.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4003-7
The escalating electromagnetic (EM) pollution necessitates the development of high-performance microwave absorbers (MAs) with integrated functionalities. However, it is still a difficult problem to integrate more related high performances into the designed MAs. Herein, a sustainable strategy was reported for fabricating three-dimensional (3D) porous magnetic Ni@C-anchored carbon foams (Ni@C/CFs) with abundant heterointerfaces and magnetic Ni@C nanoparticles using 3D porous chitosan foams and Ni-nitrilotriacetic acid chelate (Ni-NAC) as precursors. The modulation of carbonization temperature and concentration of Ni-NAC solution contributed to the tunable carbon graphitization, Ni crystallinity and magnetic Ni@C nanoparticles loading, which effectively improved their EM properties and EM wave absorption performances (EMWAPs). The optimized 3D porous magnetic Ni@C/CFs not only exhibited exceptional EMWAPs with a minimum reflection loss (RL min) of −27.58 dB and an ultra-wide effective absorption bandwidth (EAB) of 7.20 GHz, but also presented efficient thermal insulation and strong antibacterial activity (>95% inhibition against E. coli), which mainly originated from their excellent magnetic-dielectric synergies and unique 3D hierarchical porous structures. Consequently, this work delivers a coherent design strategy for next-generation multifunctional absorbers with potential applications in EM protection, thermal management, and adaptive stealth technologies.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3972-9
SnTe-based thermoelectric materials have demonstrated significant improvements in performance and are considered a promising, less-toxic alternative to PbTe. However, a substantial gap persists between experimental device efficiencies and those predicted from material performance metrics, primarily due to extra resistance in the contact layers. To fully realize the potential of SnTe thermoelectrics at the device level, it is critical to develop contact layers that ensure strong interfacial bonding, high thermal stability, and low electrical contact resistance. Although Ni is the most commonly used contact material for SnTe devices, it exhibits significant interdiffusion with SnTe, which can degrade interfacial integrity and ultimately lead to long-term device failure. Here, a reliable contact layer for SnTe through thermodynamic analysis of the SnTe-Ni3Te2 phase diagram is identified, Ni5.75SnTe5 selected as a promising candidate. A single-leg thermoelectric device based on Sn0.96Bi0.04Te0.98Se0.02 with Ni5.75SnTe5 as a contact layer is fabricated, achieving a contact resistivity of approximately 3.7 μΩ cm2. This contact layer selection strategy shows great promise for application to other thermoelectric materials.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4058-4
Bacterial infection following endometrial injury delays tissue regeneration and may progress to endometritis and other reproductive disorders. Photodynamic therapy (PDT) offers a promising antibacterial strategy in the post-antibiotic era, yet its efficacy is often limited by rapid recombination of photogenerated charge carriers and poor penetration of visible excitation light. Here, we report a previously unexplored upconversion-mediated, Type I dominant photodynamic antibacterial uterine scaffold specifically designed for infection-associated endometrial injury. The core innovation is the construction of a Schottky Ag0-Ag2S heterojunction on NaYF4:Yb,Tm nanoparticles using ZIF-8 as a sacrificial precursor, enabling efficient charge separation and oxygen-independent hydroxyl radical generation, overcoming the oxygen dependence of conventional Type II PDT under hypoxic uterine conditions. The upconversion core permits deep-tissue-penetrable near-infrared (NIR) activation. Beyond instantaneous PDT, dynamic release of Ag+ ions provides synergistic bactericidal activity, enabling spatiotemporally coordinated biofilm disruption. These nanostructures were incorporated into patient-customizable, biodegradable poly(L-lactic acid) (PLLA) scaffolds fabricated by selective laser sintering, achieving simultaneous antibacterial therapy and endometrial regeneration in a single platform. This integration of an oxygen-independent PDT mechanism, MOF-templated heterojunction engineering, and 3D printed personalized uterine implants constitutes a comprehensive therapeutic strategy not previously reported for treating infection and endometrial injury.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4039-1
Immunosuppressive metabolites are major drivers of tumor immune suppression. Among these, kynurenine (Kyn) is produced through the catalysis of tryptophan (Trp) 2,3-dioxygenase (TDO) in hepatocellular carcinoma. However, TDO inhibition alone is often insufficient because residual pathway flux sustains the accumulation of the downstream immunosuppressive metabolite quinolinic acid (QA). Here, we propose a strategy to disrupt residual kynurenine pathway activity to enhance metabolism-driven tumor immunotherapy. We develop acid-responsive metal-organic complex nanoparticles (APAP@TDOi-Zn, ATZn) that integrate the TDO inhibitor (TDOi) and Zn2+, while encapsulating acetaminophen (APAP) to inhibit 3-hydroxyanthranilate 3,4-dioxygenase (HAAO), thereby limiting QA production and simultaneously suppressing the residual immunosuppressive metabolite. QA suppression limits M2 macrophage polarization, whereas Kyn inhibition and Zn2+ supplementation promote T cell proliferation and cytotoxicity. Consequently, ATZn rewires Trp-Kyn metabolism and augments antitumor immunotherapy. This work enhances the efficacy of metabolic checkpoint blockade and provides a strategy to overcome metabolism-driven immune resistance.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60666-4
The catalytic hydrogenation of CO2 to ethanol is a pivotal technology for carbon neutrality and high-value chemical production. Cobalt-based catalysts, with their unique electronic structure and tunability, are promising for this reaction, yet challenges persist: low single-pass CO2 conversion, ethanol selectivity below 60%, and rapid deactivation. This review systematically analyzes recent progress, establishing the thermodynamic and kinetic framework, and dissecting molecular-level mechanisms, particularly C–C bond formation and controlled oxygen removal. It critically evaluates synergistic effects among metallic Co, Co2C, CoOx, and bimetallic configurations, emphasizing structure-activity relationships influenced by supports and promoters. Inverse catalysts and tandem systems are reviewed, along with water's role as a hydrogen source. The review identifies shortcomings and advocates for advanced in situ/operational characterization and theoretical modeling to guide next-generation catalyst design. Key findings from cited studies include: Co/La4Ga2O9 achieving high selectivity (reference [85]); K-loaded Cu/CoOx boosting ethanol production (reference [86]); Ga-promoted CuCo catalysts with Cu-CoGaOx interfacial sites (reference [88]); and Mo-tailored CoFe alloys suppressing over-carburization (reference [89]). These insights provide a framework for developing efficient cobalt-based systems, deepening mechanistic understanding, and accelerating sustainable ethanol production.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60671-8
The conversion of CO2 into gasoline-range hydrocarbons represents a sustainable pathway to achieve deep decarbonization in the transportation sector. Nevertheless, the traditional Fischer-Tropsch synthesis (FTS) suffers from a broad product distribution, which restricts the achievable selectivity toward C5−C11 gasoline-range hydrocarbons to roughly 45%. This study presents the development of a bifunctional catalyst that integrates In2O3/ZrO2 metal oxides with SAPO-11 molecular sieves, aiming at efficiently converting CO2/CO mixtures into C5−C11 gasoline hydrocarbons. Catalysts with varying In/Zr ratios were prepared via co-precipitation. By employing a COx (CO/CO2) co-feeding strategy (CO/COx = 0.5), the formation of by-product CO was significantly suppressed, thereby enabling the selectivity for gasoline hydrocarbons to exceed the maximum predicted by the Anderson-Schulz-Flory (ASF) model. Notably, under identical reaction conditions, the In2Zr1Ox/SAPO-11 catalyst exhibited higher performance compared with In2O3/SAPO-11 and ZrO2/SAPO-11. The COx conversion was elevated by 1.7% and 0.2%, while the selectivity toward C5–C11 hydrocarbons was enhanced by 8.0% and 16.0%, respectively. Furthermore, the In2Zr1Ox/SAPO-11 catalyst delivered a single-pass performance of 24% COx conversion and 68% selectivity for C5−C11 hydrocarbons at 380 °C, 3 MPa and a gas hourly space velocity (GHSV) of 2400 mL/(min·g). Within this product distribution, isoparaffins accounted for 32.6% of the total components, corresponding to an isoparaffin/neoparaffin ratio of 12.3. After 150 h of stability testing, the catalyst maintained a single-pass COx conversion of 23% and a C5−C11 selectivity of ~65%, demonstrating excellent catalytic activity and promising potential for industrial application.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4074-6
Achieving carbon neutralization relies heavily on green hydrogen and electrochemical carbon-nitrogen cycles. However, the complexity of these systems and the cost of traditional Edisonian trial-and-error methods hinder rapid progress. Artificial intelligence (AI) has emerged as a transformative tool, enabling high-throughput data processing and dynamic adaptation. This review surveys the landscape of AI-driven electrochemistry, bridging the gap from atomic-scale design to industrial-scale implementation. Specifically, we focus on three areas: atomic structure-function decoding, fully automated “self-driving” laboratories, and macro-scale simulations for device durability. Furthermore, we elucidate the critical challenges in integrating AI with materials science. By mapping current trends and future directions, this work aims to unlock the full transformative potential of AI in next-generation energy storage and conversion.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4162-0
The urea oxidation reaction (UOR) offers a low-energy pathway for hydrogen production via water electrolysis, but Ni-based catalysts suffer from Ni self-oxidation reaction (NSOR) that wastes energy and poisons active sites via strong CO2 adsorption. Here, we design MoN/Ni heterostructures to optimize the electronic structure of Ni sites, suppressing NSOR. X-ray photoelectron spectroscopy and X-ray absorption spectroscopy confirm the formation of electron-rich Mo and electron-deficient Ni active pairs. In-situ spectroscopy, electrochemical tests, and density functional theory calculations reveal that electron-rich Mo sites enhance urea adsorption, while electron-deficient Ni sites prevent NSOR, facilitating urea activation, intermediate conversion, and CO2 desorption. The synergistic effect yields a current density of 100 mA cm−2 at only 1.39 V vs. RHE in 1 M KOH + 0.33 M urea, outperforming many NiOOH-based catalysts. This work introduces a novel high-performance catalyst with electron-rich/electron-deficient active pairs for efficient UOR.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4223-2
Flexible wearable electronics require materials that simultaneously exhibit high conductivity, mechanical flexibility, and environmental robustness. Polyoxometalate (POM)-based conductive hydrogels are promising candidates but suffer from poor interfacial compatibility with polymer matrices and severe conductivity loss at subzero temperatures. Here, we report a POM-based proton-conductive hydrogel (PVA/P(SBMA-AM)/PW12/PA, denoted PSAWA) engineered by incorporating zwitterionic sulfobetaine methacrylate (SBMA), phytic acid (PA), and H3PW12O40 (PW12) into a poly(vinyl alcohol)-polyacrylamide dual-network. SBMA enhances PW12 loading and dispersion via an electrostatic–steric synergistic mechanism, while PA cooperates with PW12 to construct low-energy-barrier proton-conduction pathways, enabling fast proton migration even at −40 °C. The resulting PSAWA hydrogel achieves ultrahigh proton conductivities of 2.71 × 10−1 S cm−1 at 25 °C and 1.06 × 10−2 S cm−1 at −40 °C, alongside high stretchability, self-healing capability, antibacterial activity, and biocompatibility. Flexible biosensors and supercapacitors fabricated from PSAWA maintain outstanding performance at −40 °C. This work provides a viable strategy for developing low-temperature-tolerant proton-conductive hydrogels for advanced wearable electronics.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4163-y
Liquid metals (LMs) are promising catalyst systems due to their unique interfacial properties, yet migration and aggregation of active species cause performance degradation. Here, we report a composition optimization strategy using a Ga-In eutectic liquid metal support to reduce surface energy and achieve homogeneous incorporation of Cu species (GaIn-Cu). Comprehensive characterizations confirm uniform Cu dispersion, which inhibits migration and formation of CuGa2 intermetallic phases during CO2 electroreduction (CO2RR). The GaIn-10-Cu catalyst achieves a maximum CH4 Faradaic efficiency of 73.49% at -0.8 V vs. RHE, significantly higher than Ga-Cu (61.49%). Moreover, GaIn-10-Cu exhibits enhanced stability for CH4 generation over 40 h of continuous operation. In-situ spectroscopic studies reveal that GaIn-10-Cu favors formation and protonation of key *CHO and *OCH3 intermediates, steering selectivity toward CH4. This work demonstrates that tuning LM composition modulates catalytic site performance, offering a strategy for durable and selective LM-based electrocatalysts.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4132-y
Manganese-iron-based mixed polyanionic cathodes are promising for sodium-ion batteries (SIBs) due to high energy density and operating voltage, but suffer from Jahn-Teller distortion of Mn3+ that degrades cycling stability. Here, a structural modulation strategy via Mg2+ doping is reported. Electrochemically inert Mg2+ forms stronger chemical bonds, adjusts lattice parameters, and suppresses Jahn-Teller distortion, enhancing structural stability. Mg2+ also widens sodium-ion diffusion channels, improving diffusion kinetics. Additionally, an in-situ three-dimensional carbon nanotube (CNT) conductive network boosts electronic conductivity. The resulting NFMPP-Mg@CNTs cathode delivers a discharge capacity of 126 mAh g−1 at 0.1 C (near theoretical 129 mAh g−1), retains 80% capacity after 3000 cycles at 0.5 C, and achieves an energy density of 401 Wh kg−1, among the highest reported for mixed phosphate systems. Ex-situ XPS and first-principles calculations confirm that Mg2+ resists geometric distortion by enhancing lattice stability and widening Na+ diffusion pathways (migration barrier reduced from 0.566 to 0.398 eV). This work provides a viable route for high-energy, long-life SIB cathodes suitable for large-scale energy storage.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4103-8
The industrial production of urea through the integrated Haber–Bosch and Bosch–Meiser processes involves high energy consumption and significant CO2 emissions. Given the persistent technical challenges inherent in direct electrocatalytic methods, catalytic systems that enable the thermal coupling of N2 and CO2 under mild conditions represent a promising and sustainable approach to urea synthesis. Herein, we designed MXene-based bimetallic single-cluster catalysts, M1Ru3@Mo2CO2, in which the M1Ru3 cluster is stably anchored on the Mo2CO2 support. Using density functional theory calculations, we systematically evaluated the structural stability and adsorption capabilities of 3d transition metal variants (M = Sc to Zn) toward N2, CO2, and H2. The results demonstrate that Co1Ru3@Mo2CO2 exhibits excellent thermodynamic stability and enables the synergistic activation of N2, CO2, and H2, fulfilling the prerequisite conditions for catalyzing the direct coupling of N2 and CO2 to form urea. Further analysis reveals that Co1Ru3@Mo2CO2 efficiently promotes the direct thermal coupling of N–C into urea under mild conditions via the associative pathway, with the rate-determining step corresponding to the conversion of *NHNH2 → *NH2NH2 with the low energy barrier of 1.16 eV. Under realistic conditions of 780 K and 29 bar, the calculated turnover frequency reaches 1.01 × 10−3 s−1 site−1. The high catalytic performance arises from the ability of the Co1Ru3 bimetallic cluster to precisely modulate charge transfer between support and reaction intermediates. Moreover, the in situ generated NH2 species acts as an autocatalyst for CO2 hydrogenation, while the cluster selectively enhances the electrophilicity of the *CO intermediate, thereby facilitating the nucleophilic attack by *NH2 and ensuring efficient C–N bond formation. The finding of the outstanding performance of Co1Ru3@Mo2CO2 single cluster catalysts could bypass the energy-intensive NH3 synthesis step, reduce overall energy demand, and remain compatible with existing urea production infrastructure, thereby offering significant scientific and technological significance.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4184-6
The industrial production of ε-caprolactam, the essential precursor for nylon-6, is a cornerstone of the modern polymer industry. Historically, this process evolved from energy-intensive non-catalytic routes to the more atom-economical ammoximation of cyclohexanone over titanosilicate catalysts using H2O2 as a green oxidant. Despite this progress, the reliance on concentrated H2O2 presents a significant sustainability bottleneck, as its commercial production via the anthraquinone process is energy-intensive, waste-prone, and involves hazardous transportation. A more sustainable ideal reaction involves the direct use of H2 and O2 to generate active oxygen species in situ. However, implementing this bifunctional route has long been thwarted by high noble metal loadings, poor H2 efficiency due to the rapid decomposition of intermediate H2O2, and the inherent instability of catalysts in the alkaline aqueous media required for ammoximation. In the January 2026 issue of Nature Catalysis, Wu and colleagues report a breakthrough by engineering a titanium-mordenite-confined, low-loaded Pd catalyst (0.055 wt% Pd@A-Ti-MOR-R) that achieves exceptional efficiency and industrial-grade longevity for direct ammoximation in water. The researchers proposed a “structured” solution to spatial confinement by utilizing an acid-treated Ti-MOR (A-Ti-MOR) featuring specific Ti-OH defect sites adjacent to silanol nests. These defects act as precise anchors to stabilize subnanometric Pd2 clusters, ensuring that the Pd and Ti active sites remain in “atomic proximity” within the 8-ring side pockets of the zeolite. This atomic-level configuration was rigorously verified using spherical-aberration-corrected annular dark field scanning transmission electron microscopy (ADF-STEM), which identifies bright contrasts from subnanometric Pd clusters with diameters below 0.5 nm near the framework pores. Furthermore, Pd K-edge extended X-ray-absorption fine-structure (EXAFS) analysis confirms the formation of Pd–O–Ti bridges through the identification of a specific scattering path at 3.67 Å, proving that the Pd clusters are chemically bonded to the framework Ti sites.