SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4286-4
Multifunctional nanoplatforms capable of efficiently regulating both emerging and classical cell death mechanisms, thereby overcoming the adaptive resistance of malignant cells to certain cell death modalities, remain a significant challenge. Herein, we propose a new concept for the self-assembly of zinc-cystine coordination networks on curcumin (Cur) drug nanocrystals (DNCs) to construct Cur@PDA@GOx/Zn-Cys (CPGZC) nanoplatforms, enabling enhanced antitumor therapy through multicomponent synergistic modulation of both newly identified disulfidptosis and classical apoptosis. At tumor site, GOx-mediated glucose depletion reduces nicotinamide adenine dinucleotide phosphate (NADPH) levels, which can impair the intracellular conversion of cystine to cysteine. Combined with the exogenous cystine delivered by CPGZC NPs, rapid intracellular disulfide accumulation strongly activates disulfidptosis. Simultaneously, the reduction in NADPH levels inhibits GSH biosynthesis, augmenting the intracellular ROS levels elicited by Cur DNCs within the CPGZC nanoplatforms. Moreover, the elevated oxidative stress, in synergy with the excessive Zn2+ introduced, aggravates mitochondrial damage, thereby further amplifying apoptosis. Consequently, the synergistic modulation of disulfidptosis and apoptosis induces a potent antitumor response, as validated by comprehensive in vitro and in vivo investigations. This study opens new avenues for the development of multifunctional nanoplatforms for enhanced cancer therapy through the effective integration of both emerging and classical cell death mechanisms, which may serve as a promising strategy to advance our comprehension of synergistic utilization of various cell death mechanisms and combat with complex cancers.
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/s40843-026-4176-y
Three-photon microscopy (3PM) in the near-infrared-III (NIR-III) window (1600–1840 nm) enables high-resolution visualization of cerebral vasculature in vivo, but its imaging depth and quality are limited by the performance of fluorescent probes. Here, we report a probe optimization strategy transitioning from mirror symmetry to centrosymmetry, yielding a highly symmetric aggregation-induced emission (AIE) molecule, T4PQ. The centrosymmetric structure aligns donor-acceptor units, promoting uniform electron cloud delocalization and directional charge transfer, which enhances exciton formation and suppresses non-radiative decay, thereby increasing fluorescence quantum yield. This symmetry also boosts the three-photon absorption cross-section by enhancing electron delocalization and transition dipole moment, enabling stronger nonlinear optical responses under long-wavelength excitation. T4PQ nanoparticles (T4PQ NPs) exhibit an enhanced three-photon absorption cross-section, high fluorescence quantum yield, and excellent photostability. In murine models, T4PQ NPs achieved three-dimensional cerebrovascular imaging at a depth of 1785 μm and real-time hemodynamic observation in microvessels at 1006 μm depth, with good biocompatibility. These results validate the advantage of centrosymmetric molecular design for deep-brain imaging probes, offering a high-performance tool for neurovascular research.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3585-1
Semiconductor-based surface-enhanced Raman scattering (SERS) substrates have attracted significant attention due to their high uniformity, reproducibility, stability, and cost-effectiveness. However, the Raman enhancement in semiconductors primarily relies on the chemical mechanism (CM), which typically results in a lower enhancement capability compared to traditional noble metals. In this study, we developed a novel two-dimensional (2D) SERS substrate, Ag2Te nanosheets (NSs), synthesized through a simple one-step redox reaction utilizing 2D Te NSs as the template. The 2D Ag2Te NSs not only exhibit strong interfacial interactions with molecules, thereby supporting the CM, but also possess quasi-metallic properties with low resistivity (2.8 × 10−4 Ω cm) and high density of free electrons (4.15 × 10^22 cm−3), giving rise to a significant visible-region surface plasmon resonance (SPR) band and contributing to enormous electromagnetic mechanism (EM). By synergizing CM and EM, the 2D Ag2Te NSs SERS substrate achieved an ultra-low limit of detection (LOD) of 10−10 M with an enhancement factor (EF) of 2.6 × 10^7 for methylene blue (MB), outperforming most semiconductors, even rivaling noble metals. The quasi-metallic properties of 2D Ag2Te NSs also benefit their sensitivity to multiple molecules. The accuracy and reliability were demonstrated in real-sample detections with recoveries of 91.5%–108.3% for various target molecules. These excellent performances, combined with remarkable cost-effectiveness, demonstrate the potential of 2D Ag2Te NSs as a practical SERS substrate with broad applicability. Furthermore, the inherent structural simplicity of these nanosheets creates significant opportunities for further sophisticated nanostructural engineering to advance the SERS performance in the future.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3575-4
Halide perovskite memristors, known for their ion mobility, have emerged as strong candidates for computational units in next-generation memory and neuromorphic computing systems. Nevertheless, most memristors are limited to operating in a single mode, either resistive switching or threshold switching. In this work, we overcome this limitation by developing dual-mode α-formamidinium lead triiodide (α-FAPbI3) perovskite memristors with switchable volatile/nonvolatile states, enabled by engineered SnO2 electron transport layers (ETLs). Through molecular interface optimization using 3-(N,N′-dimethylmyristylammonio) propanesulfonate (Z14) and 4,4′-(1,10-phenanthroline-3,8-diyl)bis(N,N′-bis(4-methoxyphen-yl)aniline) (PNL), we achieved exceptional device stability. Volatile devices exhibited >500 switching cycles, while nonvolatile devices surpassed 1000 cycles, both maintaining a high on/off ratio (~10^3). Beyond memory applications, these devices successfully emulated biological functionalities. The volatile mode replicated four key nociceptor characteristics (threshold, relaxation, sensitization, and no adaptation), while the nonvolatile mode demonstrated advanced synaptic plasticity, including paired-pulse facilitation (PPF) and spike-timing-dependent plasticity (STDP). Capitalizing on this dual-mode synergy, we constructed a spiking neural network (SNN) for handwritten digit recognition, achieving a 93% accuracy rate—a significant milestone for perovskite-based neuromorphic systems. This study not only provides a material-level strategy for multifunctional memristor design but also bridges the gap between biological sensing and artificial intelligence, paving the way for adaptive neuromorphic hardware.
New Carbon Materials•2026•DOI: 10.1016/S1872-5805(26)61072-4
Sodium-ion capacitors (SICs) typically feature a hybrid design, incorporating a battery-type anode that operates by faradaic redox reactions and an activated carbon cathode that functions through electrical double-layer (EDL) adsorption/desorption. However, the kinetics of faradaic processes are inherently slower than those of EDL processes, leading to a fundamental problem known as kinetic imbalance between the electrodes, which hinders the development of high-performance SICs. To address this, we synthesized composites of bismuth nanoparticles in N-doped carbon (Bi@NC) by a high-temperature sintering method. The resulting Bi@NC anode has a specific capacity of 300 mAh g−1 at 0.5 A g−1, an exceptional rate capability (maintaining performance at currents exceeding 75 A g−1), and outstanding cycling stability over 12,000 cycles. Three-electrode Swagelok cell tests revealed that this high-rate Bi@NC composite effectively decreases the kinetic gap with the activated carbon cathode, as shown by an analysis of their respective potential swing windows (vs. Na/Na+). This enables the fabricated SIC to achieve a maximum energy density of 115 Wh kg−1, a peak power density of 45,535 W kg−1, and a long cycle life exceeding 8,000 cycles.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3773-7
Kesterite Cu2ZnSn(S,Se)4 (CZTSSe) solar cells suffer from significant open-circuit voltage (VOC) deficits due to severe interfacial and bulk recombination, restricting their power conversion efficiency (PCE) far below the Shockley-Queisser limit. This work proposes a low-temperature annealing strategy during ITO sputtering (SA) to synergistically address these challenges. The temperature applied during ITO sputtering not only improves the crystallinity, carrier concentration, and optical transmittance of the ITO layer but also promotes the diffusion of In from ITO into both CdS and CZTSSe layers. Consequently, lattice matching at the CZTSSe/CdS interface is optimized, enabling epitaxial growth. And a favorable ITO/In:CdS/In&Cd:CZTSSe structure with optimal band alignment is obtained. As a result, a champion device with a PCE of 14.29% was achieved. The SA-treating also enabled the CZTSSe solar cells to achieve the highest VOC reported to date, exceeding 590 mV. This underscores the essential role of SA processing in optimizing interface engineering and suppressing defects, thus promoting the development of low-cost, high-performance kesterite photovoltaics.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202507032
To mitigate global warming, regional carbon neutrality pathways are critical. Based on the Guangdong Energy Policy Simulator (EPS) model, this study simulates total energy consumption and greenhouse gas (GHG) emissions under baseline, Carbon Neutral 60 (CN60), and Carbon Neutral 50 (CN50) scenarios, and analyzes the emission reduction effects and costs of various energy policies. Results show that by 2060, total energy consumption under CN60 and CN50 decreases by 39% and 44% relative to baseline, respectively. Primary electricity and other energy, natural gas, oil, and coal account for 56%, 26%, 14%, and 4% under CN60, and 60%, 24%, 13%, and 3% under CN50. GHG emissions under CN60 drop to 80×10^6 tCO2e by 2060, an 89% reduction from 2020; under CN50, emissions reach 92 and 55×10^6 tCO2e in 2050 and 2060, respectively, reductions of 87% and 92% from 2020. Policies such as increasing clean electricity share, industrial electrification (hydrogen), increasing green power purchases, building electrification, F-gas reduction, and improving industrial energy efficiency standards show significant reduction effects, with clean electricity share being the primary source. Policies like improving industrial energy efficiency standards, increasing industrial product utilization, and increasing clean energy vehicle market penetration are cost-effective; increasing clean electricity share, green power purchases, building electrification, and F-gas reduction effectively balance reduction effects and costs. Industrial electrification (hydrogen) contributes >5% cumulative reduction but faces economic challenges for full-scale promotion in the short term; industrial carbon capture and storage and electrolytic hydrogen contribute <2% cumulative reduction with high costs. Therefore, Guangdong should prioritize cost-effective policies, promote balanced policies, gradually optimize energy structure, achieve clean electricity, and foster green industrial transformation to achieve carbon neutrality at lower economic cost.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2024112102
Based on the 2022 activity data of non-road mobile sources in Hebei Province, this study employed the emission factor method recommended by the Guidelines to estimate emissions of CO, HC, NOx, PM2.5, PM10, and SO2. A comprehensive emission inventory was established, followed by spatial and uncertainty analyses. Scenario analysis, aligned with the 14th Five-Year Plan policies, was used to project emissions for 2030. The results indicate that non-road mobile sources in Hebei emitted 76.1×10^3 t of CO, 20.6×10^3 t of HC, 164.0×10^3 t of NOx, 8.5×10^3 t of PM2.5, 9.0×10^3 t of PM10, and 2.4×10^3 t of SO2. Agricultural machinery was the dominant contributor to CO, HC, PM2.5, and PM10, accounting for over 60.0% of CO emissions. Railway locomotives were the primary source of NOx, contributing 50.9%. For SO2, agricultural machinery and railway locomotives contributed 39.0% and 44.4%, respectively. The highest emitting cities were Tangshan (21.3%), Shijiazhuang (15.7%), Cangzhou (11.6%), and Handan (11.6%). Ship emissions were concentrated in Tangshan Port; civil aviation emissions were mainly in Shijiazhuang, Tangshan, Qinhuangdao, and Handan; railway emissions were distributed in Shijiazhuang, Baoding, and Handan. Under the updated emission standard scenario, NOx and PM10 emissions in 2030 could be reduced by approximately 35.0%. The phase-out of old machinery yielded the largest reduction in CO (36.0%), while both electrification and phase-out scenarios significantly impacted HC emissions.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202604014
Ice slurry pigging is an emerging technology for cleaning water supply pipelines, yet quantitative understanding of its cleaning mechanisms and optimal operating conditions remains limited. This study developed a computational fluid dynamics (CFD) model integrating the kinetic theory of granular flows (KTGF), the Euler-Euler method, and the shear stress transport (SST) model to simulate ice slurry flow and wall shear stress distribution. The model was validated against experimental data, showing a 6.4% error in particle concentration distribution, a 3.3% average error in solid-phase velocity in the mainstream region, and a pressure drop error within 20%. A total of 125 simulations were performed under varying initial concentrations (20%–60%), particle diameters (0.3–1.0 mm), and flow velocities (0.2–1.0 m/s). Results indicate that higher initial concentrations (60%) achieve effective cleaning of both upper and lower pipe walls, with an effective shear stress ratio of 77.39%. Larger particles exhibit pronounced upward movement, increasing non-uniformity in solid distribution. Flow velocity is the dominant factor affecting wall shear stress; at 1.0 m/s, the effective shear stress ratio reaches 83.16%. The optimal parameters for cumulative shear stress were identified as 50% initial concentration, 0.5 mm particle diameter, and 1.0 m/s flow velocity, yielding an average cumulative shear stress of 11.59 Pa·s. For effective cumulative shear stress, the same parameters produced 9.89 Pa·s, while the highest effective shear stress ratio (88.50%) was achieved with 0.3 mm particles at 1.0 m/s and 50% concentration. This research provides theoretical guidance for ice slurry pigging operations in water supply pipelines.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025102002
The ultraviolet/chlorine (UV/Cl2) advanced oxidation process generates multiple radical species, enabling synergistic disinfection. However, the systematic influence of UV intensity on process performance remains inadequately characterized. This study investigated UV intensities from 0.25 to 2.0 mW·cm−2, assessing chlorine photolysis kinetics, bacterial inactivation, and disinfection by-product (DBP) formation. Results demonstrate that inactivation efficiency is not solely governed by total UV energy but is co-regulated by reaction kinetics and mass transfer. Increasing UV intensity accelerated chlorine photolysis by 33.7%–277.8%, elevating steady-state concentrations of hydroxyl radicals and chlorine radicals by factors of 1.6–3.8 and 1.3–3.2, respectively, thereby enhancing initial inactivation rates. However, higher intensities reduced cumulative chlorine exposure (CT value) to 14.3%–55.7% of baseline, causing overall inactivation to first increase then decrease. At a fixed UV dose of 150 mJ·cm−2, an intensity of 1.0 mW·cm−2 achieved optimal 6.5-log inactivation of Escherichia coli and the lowest bacterial reactivation rate (0.07%). Common water constituents (HCO3−, Cl−, natural organic matter) inhibited disinfection, with natural organic matter exerting the strongest suppression (2.7-log reduction). Notably, 1.0 mW·cm−2 exhibited the greatest resistance to interference. Elevated intensity reduced total organic halogen formation from 33.7 μg·L−1 to 19.0 μg·L−1. Balancing disinfection efficacy and DBP risk, 1.0 mW·cm−2 is identified as the optimal UV intensity for the UV/Cl2 process in sand-filtered water treatment.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025012401
Traditional excitation-emission matrix (EEM) fluorescence spectroscopy suffers from prolonged scanning times, data redundancy, high instrument cost, and bulkiness, hindering rapid on-site water pollution source tracing. This study proposes a novel classification method combining fixed characteristic excitation wavelength scanning with support vector machine (SVM) to enhance efficiency. A total of 180 EEM samples were collected from six pollution source categories: chemical fiber dyeing and finishing, wool textile dyeing and finishing, leather processing, metal surface processing, papermaking, and domestic sewage. Parallel factor analysis (PARAFAC) identified characteristic fluorescent components and excitation wavelengths. Correlation analysis and feature importance analysis further reduced these to seven characteristic excitation wavelengths. SVM and random forest (RF) models were constructed using both the reduced and original EEM datasets. Results demonstrated that models based on the seven characteristic excitation wavelengths maintained high recognition accuracy while significantly improving efficiency. The SVM model achieved the best performance, with runtime reduced from 243.05 s to 34.56 s (an 86% decrease) and recognition accuracy reaching 94.4%. Precision, recall, and F1-score metrics confirmed the robust performance of SVM with characteristic wavelengths, particularly for metal surface processing wastewater. This study provides an efficient and reliable method for rapid water pollution tracing by simplifying EEM scanning and integrating SVM, offering high application value. Future work will optimize feature selection strategies and explore additional sample categories and model combinations to broaden applicability.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2024042404
The direct catalytic decomposition of the greenhouse gas N2O into nitrogen and oxygen holds significant environmental importance. In this study, CaO-modified Rh-based catalysts were prepared via a stepwise impregnation method. The catalyst structures were characterized, and their catalytic performances for N2O decomposition were investigated. The characterization results demonstrate that CaO doping significantly enhances catalytic activity and water resistance. Specifically, the 0.5Rh/Al2O3 catalyst exhibited a N2O conversion below 5% at 300 °C, whereas the 0.5Rh-4Ca/Al2O3 catalyst achieved 50% conversion under identical conditions, indicating markedly improved low-temperature activity. Compared to the undoped catalyst (0.5Rh/Al2O3), CaO doping (0.5Rh-xCa/Al2O3) strengthens metal-support interactions, improves Rh dispersion on the support surface, and modulates the electron density around Rh, thereby substantially boosting N2O decomposition capability. The catalyst also demonstrated excellent stability, maintaining essentially constant conversion over 40 h of reaction. These findings underscore the potential of alkaline earth metal oxide doping as an effective strategy for designing high-performance noble metal catalysts for N2O abatement.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60649-4
To achieve efficient conversion of lignin-derived phenolic compounds into high-value hydrocarbon fuels, a series of NiCo bimetallic catalysts with N-doped biochar and Al2O3 composite supports (NiCo/NC-Al2O3) were designed and synthesized. Comprehensive characterizations (XRD, TEM, XPS, H2-TPD) revealed the superior catalytic activity in the hydrodeoxygenation (HDO) of lignin-derived phenolic compounds. The optimized Ni8Co2/NC-Al2O3 catalyst exhibited good metal dispersion and excellent hydrogen dissociation adsorption capacity. Under mild reaction conditions (240°C, 1 MPa H2, 4 h), it achieved complete conversion of guaiacol and 99.9% selectivity to cyclohexane, significantly outperforming monometallic Ni10/NC-Al2O3 and Co10/NC-Al2O3 catalysts. Comparative studies indicated a synergistic effect between Ni and Co, where the introduction of Co effectively promoted aromatic ring hydrogenation and C−O bond cleavage. The catalyst maintained high activity after four reuse cycles, demonstrating outstanding structural stability. This study elucidates the regulatory mechanism of the Ni-Co synergistic effect on catalytic performance, providing new insights for the development of efficient non-noble metal HDO catalysts.
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.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2024122406
The effects of different vegetation types on soil quality in the Green Heart Area of the Changsha-Zhuzhou-Xiangtan City Cluster were evaluated to provide a reference for selecting suitable afforestation species and improving forest soil quality. Seven vegetation types (mixed forest, broad-leaved forest, coniferous forest, economic forest, shrub forest, grassland, and abandoned cropland) with similar site conditions were studied. Eleven soil physicochemical indicators were measured, and soil quality was assessed using principal component analysis (PCA), Pearson correlation, total data set (TDS), minimum data set (MDS), and entropy-weighted TOPSIS methods. Results showed no significant differences in soil water content, soil bulk density, and C:N ratio among vegetation types, while significant differences were found in total porosity, capillary porosity, saturated water content, field water holding capacity, total carbon, total nitrogen, available potassium, and available phosphorus. Compared with abandoned cropland, soil water content, total porosity, field water holding capacity, saturated water content, total carbon, total nitrogen, available potassium, and available phosphorus were significantly higher, and soil bulk density was significantly lower. Mixed forest soil exhibited the highest values for field water holding capacity, total porosity, saturated water content, total nitrogen, total carbon, available potassium, and available phosphorus. Correlation analysis revealed that soil bulk density was extremely significantly negatively correlated with soil water content, total porosity, and saturated water content, and significantly negatively correlated with field water holding capacity, total carbon, and total nitrogen. Soil capillary porosity, field water holding capacity, total porosity, and saturated water content were extremely significantly positively correlated with soil nutrients, while soil bulk density showed varying degrees of negative correlation with soil chemical nutrients. Soil chemical properties and stoichiometric ratios showed varying degrees of significant positive correlation. The order of soil quality under different vegetation types was mixed forest > broad-leaved forest > shrub forest > economic forest > grassland > coniferous forest > abandoned cropland. Mixed forest soil quality was the best and significantly higher than other vegetation types, with significant differences among vegetation types. Mixed forest soil quality was clearly superior. In vegetation restoration and plantation establishment in the Green Heart Area, the principle of matching tree species to site conditions should be followed, with a focus on mixed forests to improve overall soil quality and enhance ecological benefits of artificial vegetation restoration.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202511057
To investigate the effects of applying sewage sludge aerobic fermentation products on antibiotic resistance genes (ARGs) in the rhizosphere soil and phyllosphere of pakchoi (Brassica chinensis L.), field experiments were conducted with three treatments: sludge product (sludge group), chemical fertilizer (fertilizer group), and no fertilizer (control). Antibiotic residues, abundances of ARGs and mobile genetic elements (MGEs) were measured in rhizosphere soil and phyllosphere, and microbial community composition and virulence factor (VF) contributions were annotated via metagenomics. Results showed that antibiotic concentrations in rhizosphere soil were generally higher than in phyllosphere. Compared with control, sludge application increased soil antibiotic content by 12.70%, whereas fertilizer increased it by only ~3%, indicating a more significant exogenous input from sludge. At the resistance level, total ARG abundances in rhizosphere soil and phyllosphere of the sludge group increased by 25.47% and 73.08%, respectively, relative to control, with concurrent increases in beta-lactam resistance genes and MGEs such as integron intI1. Sludge application may enhance integron-mediated gene capture and horizontal transfer potential, driving resistance risk accumulation in both phyllosphere and rhizosphere soil. Conversely, fertilizer application reduced ARG abundances by 53.40% in rhizosphere soil and 13.50% in phyllosphere compared with control, consistent with decreased microbial community abundance and diversity, suggesting that reduction of host bacteria and dissemination vectors was a key reason. In community structure, Proteobacteria dominated the phyllosphere, while Chloroflexi dominated rhizosphere soil. Correlation networks identified Sphaerobacter thermophilus and Aggregatilinea lenta positively correlated with multiple ARGs (r≈0.95–1.00), whereas Solirubrobacter sp. CPCC_204708 was negatively correlated (r≈−0.91). Virulence factor contributions followed trends similar to ARGs. Sludge fermentation products simultaneously increased ARG prevalence and related risk indicators in both rhizosphere soil and phyllosphere of pakchoi, providing a reference for risk identification and safe application of sludge fermentation products in agriculture.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(25)60624-4
Para-xylene (PX) is a critical chemical feedstock for producing polyesters, plastics, and fibers, with China's 2024 consumption reaching 40 million tons (63% of global total) and an import dependency of 17%. Conventional naphtha-based routes face feedstock security and cost volatility, prompting interest in syngas conversion. This review systematically examines recent catalyst developments for direct syngas-to-PX-rich aromatics, focusing on three systems: Fischer-Tropsch synthesis (FTS) catalyst/zeolite coupling, methanol synthesis catalyst/zeolite synergy, and dual-engine/zeolite catalysis. Critical parameters such as active component electronic structure, promoter effects, and zeolite pore topology are analyzed to reveal governing principles of activity, selectivity, and stability. Reaction mechanisms via olefin, methanol, and dual-intermediate pathways are explored. Current bottlenecks include coordinated optimization of activity and stability, and unclear regulation of PX selectivity. Future research directions are proposed to address these challenges.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60659-7
Coal gasification fine slag (CGFS), a solid waste from entrained-flow coal gasification, is characterized by fine particles and high silicon and aluminum content. This study proposes a simple and economical hydrothermal synthesis of ZSM-5 molecular sieve using CGFS as raw material. Impurities were removed by acid washing, followed by alkaline extraction of silicon and aluminum species. The extracted Si-Al precursors were crystallized hydrothermally at 170 °C for 48 h, yielding ZSM-5 with a high specific surface area of 358 m2/g. Adsorption experiments showed that the synthesized ZSM-5 exhibited excellent Pb2+ removal performance: at 25 °C, the removal efficiency for a 50 mg/L Pb2+ solution reached 83.7%, with an adsorption capacity of 104.625 mg/g under optimized conditions. The adsorption process is mainly governed by chemisorption mechanisms, including surface complexation, precipitation, and ion exchange. Thermodynamic analyses indicated that Pb2+ adsorption is spontaneous and endothermic, consistent with multilayer chemisorption. The synthesized ZSM-5 shows promising potential for application in the treatment of lead-containing wastewater, offering a high-value utilization route for coal-based solid waste.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025032801
A highly sensitive and accurate method using liquid-liquid extraction (LLE) coupled with ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was developed for simultaneous quantification of nine neonicotinoid insecticides and their metabolites in human urine and serum. Samples underwent enzymatic hydrolysis followed by ethyl acetate extraction, effectively enriching target analytes. Gradient elution and optimized mass spectrometry conditions enabled simultaneous determination. The method exhibited excellent linearity with correlation coefficients >0.999. In urine, limits of detection (LOD) ranged from 0.001 to 0.010 μg·L−1 and limits of quantification (LOQ) from 0.004 to 0.035 μg·L−1. In serum, LODs were 0.0004–0.02 μg·L−1 and LOQs 0.0014–0.07 μg·L−1. Average spiked recoveries were 89.3%–115.0% in urine and 83.0%–115.0% in serum, with relative standard deviations (RSD) of 0.5%–8.0% and 2.5%–9.5%, respectively. Analysis of paired urine and serum samples from 123 Guangzhou residents revealed detection rates of 94.3%–100% for the nine analytes in urine, with clothianidin showing the highest median concentration (1.89 μg·L−1). In serum, detection rates for clothianidin, thiacloprid, acetamiprid, imidacloprid-olefin, and 5-hydroxy-imidacloprid were below 60%, while the remaining four analytes ranged from 74.8% to 99.2%. Urinary concentrations of all nine analytes were significantly higher than serum concentrations (P<0.05). Significant positive correlations between urine and serum concentrations were observed for clothianidin, thiamethoxam, imidacloprid, and N-desmethyl-acetamiprid, with N-desmethyl-acetamiprid showing the strongest correlation. The LLE-UPLC-MS/MS method efficiently and accurately detects neonicotinoids and metabolites in urine and serum, providing a reliable tool for human exposure assessment.
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.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202508006
Landfill leachate, characterized by high ammonia nitrogen, high organic load, complex toxic components, and low nitrogen removal efficiency, poses significant environmental challenges. To achieve efficient nitrogen removal, a continuous-flow two-stage anoxic/oxic (A/O) moving-bed biofilm reactor (MBBR) system coupled with anaerobic ammonium oxidation (Anammox) was constructed and operated for long-term treatment of actual landfill leachate. After biofilm attachment and multi-gradient acclimation, influent concentrations were gradually increased from low levels (NH4+-N ~200 mg·L−1, COD ~2500–3000 mg·L−1) to high levels (NH4+-N ~1800 mg·L−1, COD ~8500 mg·L−1). During stable operation, average removal efficiencies of NH4+-N and COD reached 97.7% and 66.8%, respectively, with total nitrogen (TN) removal efficiency improving to 93.9%. Along the reactor, the first A/O stage achieved major organic degradation and ammonia oxidation, while the second stage facilitated nitrite accumulation and promoted Anammox for synergistic nitrogen removal. High-throughput sequencing revealed Proteobacteria as the dominant phylum (>50%), with denitrifying genera such as Azoarcus and Thauera significantly enriched. Planctomycetota abundance increased from 0.6% to 3.7%, and Candidatus Kuenenia was detected, confirming successful Anammox colonization and participation in nitrogen removal. This study validates the efficient combined nitrogen removal mechanism of the A/O–MBBR system with Anammox, providing theoretical basis and technical support for engineering treatment of high-ammonia wastewater.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60677-9
Mg-, Ca-, Sr-, and Ba-single-doped La2O3 as well as Mg-Ba co-doped La2O3 catalysts were synthesized via a hydrothermal method and evaluated for the oxidative coupling of methane (OCM). The experimental results revealed that the Mg-modified La2O3 catalyst activates O2 and CH4 effectively, yet achieves only moderate C2+ selectivity. Conversely, the Ba-modified analogue affords high C2+ selectivity, albeit at the expense of lower reaction activity. Notably, the Mg-Ba co-doped La2O3 catalyst strikes an effective balance between activity and selectivity, enhancing catalytic performance while maintaining a high C2+ selectivity. Specifically, at a Mg/Ba molar ratio of 1:1 and 700 °C, it achieved a CH4 conversion of 29.5%, a C2+ selectivity of 54.5% and a corresponding C2+ yield of 16.1%. The characterization results indicate that Mg and Ba co-doped La2O3 catalysts promote the formation of more superoxide (O2−) species on the catalyst surface, which in turn significantly enhances both the activity and selectivity of La2O3 catalysts. In situ DRIFTS revealed the presence of superoxide species on the surface of both Mg- and Ba-doped catalysts, with the co-doped system exhibiting a significantly more intense signal for the superoxide species. O2/H2-TPR studies revealed that Mg and Ba co-doped La2O3 catalysts exhibit superior O2 activation capabilities compared to those doped with Mg or Ba alone. CH4/O2 pulse experiments revealed that the co-doped catalysts facilitate faster establishment of oxygen adsorption equilibrium, thereby enhancing CH4 activation and the subsequent formation of C2 products. This work establishes that co-doping La2O3 with Mg and Ba represents an effective strategy for improving catalytic performance in OCM, primarily by modulating the generation and stabilization of key active oxygen species.
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/s40843-025-4068-2
Eutectic high-entropy alloys (EHEAs) combine multi-principal-element compositions with regular lamellar microstructures, offering exceptional high-temperature stability and mechanical properties. However, conventional casting yields random solidification microstructures and inhomogeneous phase distributions, constraining strength-ductility synergy. This study employs directional solidification (DS) on Al19Fe20Co20Ni41 EHEA to achieve precise microstructural control, constructing a multi-level lamellar architecture with a herringbone-like alternating arrangement. This tailored microstructure refines interlamellar spacing, eliminates detrimental isolated B2 phases, and promotes slip continuity at interfaces, enhancing coordinated dislocation motion and uniform distribution across multiple slip systems. Consequently, the DS EHEA exhibits superior mechanical properties compared to most reported thermomechanically processed and directionally solidified HEAs. Micro-mechanistic analysis reveals that homogenized geometrically necessary dislocation (GND) density, interface-assisted crack deflection, and multi-stage strain-hardening from sequential dislocation activation collectively contribute to outstanding strength-ductility synergy. This work demonstrates that programming solidification paths enables design of unique multi-level lamellar architectures, serving as intrinsic microstructural composites that optimize dislocation management and crack propagation, offering a novel paradigm for developing ultra-robust EHEAs for extreme service environments.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4081-y
The evolution of precision medicine has propelled multimodal imaging-guided phototheranostics to the forefront for precise tumor diagnosis and therapy. Low-temperature photothermal therapy (PTT) offers a promising approach for the treatment of melanoma due to its non-invasiveness and minimal damage to normal tissues. However, its efficacy is limited by cancer cell thermal tolerance. To address this, a new type of multifunctional energy disruptor (CAMeO-Q NPs) is developed featuring homologous targeting and mitochondria targeting, and synergistically enhancing low-temperature PTT in melanoma by reversing heat shock protein 90 (Hsp90)-mediated thermal tolerance and blocking mitochondrial adenosine triphosphate (ATP) biosynthesis. The multifunctional energy disruptor enables precise trimodal imaging (fluorescence imaging/FLI, photoacoustic imaging/PAI, and photothermal imaging/PTI) guidance for low-temperature PTT. Comprising a mitochondria-targeting photothermal agent and an Hsp90 inhibitor, CAMeO-Q NPs induce selective mitochondrial damage under 660 nm laser irradiation and downregulate cellular HSP expression by ATP inhibition and Hsp90 inhibitor. This multifunctional energy disruptor provides a novel strategy for enhancing multimodal imaging-guided low-temperature photothermal therapy through combined homologous targeting, mitochondria-targeting, and Hsp90 inhibition.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60662-7
Perovskite-type catalysts show promise for CO2 methanation, yet their low-temperature performance and mechanisms remain unclear. Here, a LaNiO3/CeO2 catalyst was synthesized via sol-gel and impregnation. In situ reduction decomposed the perovskite into highly dispersed Ni0 particles (average 12.6 nm) on CeO2, which provided abundant oxygen vacancies (Ce3+/(Ce3++Ce4+) = 9.2%) and weak/moderate basic sites. This synergy enhanced CO2 adsorption and activation. At 200–300 °C, the catalyst achieved ~100% CH4 selectivity and CO2 conversion up to 23.6% at 300 °C. Comparative studies with LaNiO3, LaCeNiO4, Ni/CeO2, and La-Ni/CeO2 revealed that the perovskite pre-structuration and in situ reduction optimize Ni dispersion and metal-support interactions, stabilizing Ni0 and tuning surface basicity and oxygen vacancies. This work provides a design strategy for efficient low-temperature CO2 methanation catalysts.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4131-3
p-n heterojunction solar-blind photodetectors based on p-type materials and n-type Ga2O3 have attracted significant attention in optoelectronics due to their inherent low dark current and self-powered operation. Organic-inorganic hybrid heterojunctions integrating p-type organic materials with n-type Ga2O3 offer a promising solution to overcome lattice mismatch, enabling device performance breakthroughs. In this work, Ga2O3 thin films were treated via a supercritical fluid (SC) technique, which significantly reduced defect state density while improving crystallinity and surface uniformity, laying a foundation for heterojunction interface optimization. Simultaneously, a self-assembled monolayer (SAM) was introduced at the organic-inorganic heterojunction interface. The high-quality Ga2O3 surface engineered via SC treatment facilitated efficient, oriented self-assembly of SAM molecules, enabling precise modulation of interfacial energy band alignment and promoting separation and transport dynamics of photogenerated carriers. Benefiting from synergistic SC modification and SAM functionalization, the fabricated solar-blind photodetector achieved a highest responsivity of 111.7 mA/W and a specific detectivity of 1.02 × 10^11 Jones under zero bias (self-powered mode) and weak 254 nm light with an intensity of 5 μW/cm2. These results demonstrate a viable route to high-performance, self-powered solar-blind photodetectors through interface engineering.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4216-7
Flexible Cu2ZnSn(S,Se)4 (CZTSSe) solar cells are promising for lightweight and mechanically pliable photovoltaics, yet their performance is limited by severe non-radiative recombination and residual stress. Here, we report a sealed constant temperature (SCT) annealing strategy that simultaneously optimizes the CZTSSe/CdS heterojunction and alleviates stress. Under uniform mild thermal conditions (85°C, 5 h), SCT annealing promotes gradient diffusion of Cd2+ into the absorber, partially substituting Zn2+, which optimizes band alignment, passivates interface defects, and suppresses near-interface CuZn defects. This reduces open-circuit voltage loss and improves fill factor. The flexible device achieves a power conversion efficiency of 13.07%, a significant improvement over the reference (12.1%). The SCT strategy also enhances mechanical flexibility by reducing residual stress. Our findings provide a controllable route to advance both efficiency and flexibility of flexible CZTSSe solar cells.
SCIENCE CHINA Materials•2025•DOI: 10.1007/s40843-025-3580-0
Hydrogel-based one-dimensional fibers offer a route to smart textiles, yet cyclic deformation fractures low-energy amorphous crosslinks, causing fatigue and hysteresis that degrade mechanical performance. This study integrates an Ecoflex elastomer backbone into an organic hydrogel to fabricate composite fibers (OHEF) with enhanced fatigue resistance and eliminated hysteresis. After 10,000 cycles at 200% strain, mechanical properties show no significant degradation. The strain sensor exhibits a gauge factor of ~3.0, response time of 140 ms, recovery time of 130 ms, and repeatability over 10,000 cycles at 70% strain. The OHEF also resists dehydration and freezing, enabling smart textiles that detect deformation, temperature, proximity, and pressure, and perform passive sensing via triboelectric nanogenerator principles. These results demonstrate a viable path for durable, multi-sensing hydrogel fibers in wearable electronics.