SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4321-x
Poly(ethylene oxide) (PEO)-based solid polymer electrolytes are leading candidates for solid-state lithium metal batteries due to their flexibility, processability, and interfacial compliance. However, the strong crystallization tendency of PEO and limited lithium salt dissociation result in low ionic conductivity and low Li+ transference number, exacerbating concentration polarization and interfacial instability. Introducing metal-organic framework (MOF) fillers into PEO matrices has emerged as an effective route to regulate polymer-chain packing and promote salt dissociation via Lewis acid-base interactions. Yet, most studies focus on cubic ZIF-8, whose saturated Zn coordination environment limits intrinsic Lewis acidity and restricts its ability to immobilize TFSI- anions. Simultaneously, simple physical blending often leaves discontinuous interfacial transport regions in composite electrolytes, so improved salt dissociation does not automatically translate into fast Li+ transport. Here we report a PEO-based composite polymer electrolyte, denoted as PZS, that couples monoclinic ZIF-8 (M-ZIF-8) nanosheets with a thin SiO2 layer. The design combines two complementary functions: the under-coordinated Zn sites in M-ZIF-8 provide strong Lewis acid centers to adsorb TFSI- and promote LiTFSI dissociation, while the hydroxyl-rich SiO2 shell improves compatibility with the PEO matrix and helps construct continuous interfacial Li+ transport pathways. Benefiting from this synergy, the optimized PZS electrolyte delivers an ionic conductivity of 8.3 × 10-4 S cm-1 and a Li+ transference number of 0.57 at 60 ℃, together with an electrochemical stability window of 5.2 V. Li||Li symmetric cells remain stable for over 1200 h at 0.1 mA cm-2, and LFP||Li full cells retain 80% of their capacity after 400 cycles at 0.5 C.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4217-y
Rational design and construction of effective photocatalysts is a promising way for green and sustainable chemistry, but still a great challenge. Herein, taking triphenylamine-containing aldehydes as reactants, two covalent triazine frameworks (CTFs), tris(4-formylphenyl)amine (TPA)-CTF and tris(4-formylbiphenyl)amine (TBPA)-CTF, were rationally constructed. The strong electron donor property of the triphenylamine moieties derived from the initial reactants and the strong electron acceptor nature of the in-situ formed built-in triazine rings in CTFs endowed these robust triphenylamine-based CTFs with donor-acceptor (D-A) or donor-π-acceptor (D-π-A) structure features. Photocatalytic experiments revealed that, compared with the controlled phenyl analogue CTF, 1,3,5-tri(p-formylphenyl)benzene (TFPB)-CTF, both of the triphenylamine-based CTFs exhibited superior photocatalytic activity not only in photocatalytic hydrogen peroxide generation, but also in photocatalytic aerobic oxidations of diverse organic substrates. Theoretical studies further confirmed that their enhanced photocatalytic performance should be attributed to their unique D-A or D-π-A features in the constructed triphenylamine-based CTFs. This work successfully demonstrated that rational selection of reactants containing electron donor moieties to construct CTFs should be a reliable way for the construction of effective photocatalysts for photocatalytic oxidation reactions.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3848-7
Conventional heterogeneous photocatalysts often suffer from insufficient light absorption, rapid charge recombination, and a lack of specific reactive sites for efficient photocatalytic oxidation. To overcome these limitations, we propose a molecular polarization engineering approach utilizing structurally well-defined donor (D)-acceptor (A) covalent triazine frameworks (CTFs). The construction of dipole-induced built-in electric fields within the D-A-structured CTFs enables enhanced exciton dissociation and facilitates directional charge transfer. Specifically, the asymmetric A1-D-A2 moiety enhances molecular polarization in the dual-acceptor system CTF-TBT (A1-D-A2), enabling efficient charge separation through multiple electron-withdrawing units. This structural design promotes directional electron transfer toward the secondary acceptor (benzothiazole, A2), while simultaneously concentrating holes on the donor unit. Consequently, the A2 moiety acts as a site for efficient O2 activation via electron accumulation, whereas the highly oxidized donor unit provides strongly positive holes (h+) that facilitate substrate oxidation. Experimental and DFT calculation results confirm that CTF-TBT demonstrates highly enhanced photocatalytic oxidation performance, which can be attributed to its multi-channel charge separation mechanism and spatially separated redox-active sites. This study highlights the effectiveness of molecular dipole engineering in designing heterogeneous photocatalysts with controlled charge transfer pathways and improved redox capabilities. The proposed design principles provide a universal approach for promoting solar-driven chemical synthesis applications.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3602-1
Solid-state lithium batteries (SSLBs) are promising next-generation energy storage systems due to their high safety and energy density. However, poor low-temperature performance of solid-state electrolytes remains a critical challenge. Here, we present a facile and scalable approach for synthesizing a low-temperature-resilient polymer electrolyte based on ethylene-vinyl acetate (EVA), leveraging its unique molecular structure for enhanced lithium-ion transport. The EVA polymer electrolyte (EPE) demonstrates a high ionic conductivity of 5.13×10−4 S cm−1 at room temperature and retains a remarkable conductivity of 2.72×10−5 S cm−1 at −40 °C. This superior performance is attributed to the synergistic interaction between the ester functional groups of EVA and lithium salts, which reduces the ion dissociation energy barrier and facilitates efficient ion migration. The EPE enables stable lithium plating/stripping cycling for over 3000 h at −40 °C and supports long-term cycling of LiFePO4-based full cells at −40 °C for over 900 cycles. This work highlights the potential of cost-effective, scalable EPEs for next-generation SSLBs, particularly in extreme environmental conditions.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3695-8
Sulfur-based lithium-ion batteries, particularly those employing sulfurized poly(acrylonitrile) (SPAN) cathodes and graphite (Gr) anodes, offer high theoretical capacity and low cost but suffer from temperature-dependent capacity decay. This study systematically investigates the electrochemical dynamics and capacity decay mechanism of SPAN||Gr pouch cells cycled at 25–55 °C. Multiscale analyses reveal that capacity fade arises from active lithium loss and increased resistance, both accelerated by higher temperatures. Active lithium loss is primarily attributed to dead lithium formation and thickening of the solid electrolyte interphase (SEI) and cathode electrolyte interphase (CEI), while resistance increase is predominantly due to SEI/CEI thickening. As temperature rises, active lithium loss becomes the dominant decay factor. Leveraging the consistent decay mechanism across temperatures, an accelerated aging model based on the Arrhenius equation is developed: y = 0.9x + a. This model accurately predicts cycling parameters at specific temperatures and reduces testing time by 50% when extrapolating from 55 °C to 25 °C. These insights provide critical guidance for developing long-life sulfur-based batteries for practical energy storage applications.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3780-3
Real-time health monitoring and ongoing evaluation of physiological conditions are becoming increasingly vital for the advancement of future medical diagnostics and personalized healthcare solutions. Given that certain illnesses necessitate prompt and accessible detection methods, wearable chemical sensors have garnered considerable interest for their capability to monitor health through physiological signals and chemical indicators. This review delivers a thorough examination of recent developments in four primary categories of wearable chemical sensors: biosensors, humidity sensors, gas sensors, and ion sensors. We explore the representative materials, device structures, operating mechanisms, and various application scenarios for each type of sensor. By investigating the latest innovations in these technologies, we aim to provide a detailed overview of the current research landscape, highlight existing challenges, and present potential future directions of wearable chemical sensors in healthcare monitoring.
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.
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.
New Carbon Materials•2026•DOI: 10.1016/S1872-5805(26)61116-X
A standardized dataset of linear sweep voltammetry (LSV) curves is presented for evaluating the oxygen reduction reaction (ORR) performance of carbon-supported catalysts in acidic media. All electrochemical tests were conducted in O2-saturated 0.5 mol L−1 H2SO4 at controlled rotation speeds using a rotating disk electrode. The dataset comprises 120 validated entries from both non-precious metal (MNC) and platinum-based (Pt-MC) catalysts, including original LSV curves and extracted performance parameters such as onset potential, half-wave potential, and limiting current densities at different rotation speeds. Data processing involved potential conversion to the reversible hydrogen electrode (RHE) scale, background subtraction, outlier removal, and reproducibility checks with defined quality control thresholds (relative standard deviation ≤2% for E1/2 and ≤5% for limiting current). The standardized collection serves as a reliable benchmark for catalyst performance comparison, supports kinetic and mass transport analysis, and provides a structured data source for machine learning applications in electrocatalysis. The dataset is openly available via Science Data Bank, with a DOI, and is intended as a dynamic resource for the ORR electrocatalysis community.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202605001
The lower reaches of the Yangtze River Basin, as a concentrated area of China's C5 petroleum resin industry, face critical bottlenecks in green and low-carbon transformation due to high-pollution, refractory wastewater and high carbon emissions. Traditional petrochemical wastewater treatment technologies suffer from low efficiency, high energy consumption, and insufficient resource utilization. This paper systematically analyzes the sources of wastewater in C5 petroleum resin production from principles and processes, and reviews research progress and carbon reduction potential of current technologies in three aspects: new materials, new equipment, and new processes. Integrated processes centered on efficient pretreatment, biological enhancement, and multi-technology coupling show significant advantages in improving treatment efficiency, reducing energy consumption and cost, and strengthening resource recovery. The study also prospects future research priorities for pollution and carbon mitigation through green technological innovation and intelligent upgrading, providing new solutions for 'near-zero discharge' and resource recycling of C5 petroleum resin wastewater, thereby promoting the green and low-carbon transformation of the petrochemical industry.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202606015
This study evaluated the sustainability and tissue-specific mechanisms of corn stover as a solid-phase carbon source for nitrate removal from groundwater. Cyclic heterotrophic denitrification experiments were conducted using leaf, stem pith, stem bark, stem node, husk, and mixed tissues as carbon sources. Denitrification efficiency, sustainability, dissolved organic carbon (DOC) release, carbon utilization efficiency, intermediate accumulation, and environmental parameters were systematically assessed. Kinetic modeling, correlation analysis, and structural equation modeling (SEM) were applied to elucidate regulatory mechanisms. Results demonstrated that mixed tissues and husk achieved the highest denitrification efficiency, with nitrate removal rates consistently above 98% across four repeated cycles. Total nitrogen removal reached 39.30 mg/g for mixed tissues and 39.95 mg/g for husk, while byproduct concentrations (NO2-N and NH4-N) remained below 2 mg/L. DOC release profiles indicated stable carbon release and high carbon utilization efficiency (203.99 mg TN/g organic carbon for mixed tissues; 182.41 mg/g for husk). Correlation and SEM analyses revealed that carbon source type indirectly governed total nitrogen removal by modulating DOC release, which subsequently influenced pH, electrical conductivity, and nitrogen transformation pathways. Significant differences among tissues were observed in denitrification efficiency, carbon utilization, and micro-environmental regulation. Mixed tissues and husk emerged as superior carbon sources due to their combined efficiency and stability. However, husk released odorous compounds during operation, posing sensory challenges for practical application. The findings support the potential of corn stover tissues as cost-effective carbon sources for in-situ groundwater nitrate remediation, though further optimization is required for field-scale implementation.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202606018
Swine wastewater, a high-strength organic effluent, offers a viable substrate for anaerobic biohydrogen production, aligning with clean energy recovery. This study compared hydrogen production in three anaerobic sequencing batch reactors (ASBRs) treating: raw wastewater (R1), supernatant after MAP (magnesium ammonium phosphate) precipitation for nitrogen and phosphorus recovery (R2), and the same supernatant with anaerobic sludge heat-treated at 75°C for 0.5 h (R3). Without pH adjustment, hydrogen production in R1 remained below 0.50 mmol/(kg·d). At an influent COD of 1800 mg/L, R2 and R3 achieved hydrogen production rates of 48.17 and 71.44 mmol/(kg·d), respectively. At COD 2400 mg/L, methane concentrations in R1, R2, and R3 were 10.8%, 14.2%, and 9.1%, respectively, indicating MAP pretreatment enhanced both hydrogen and methane production. As COD increased, R1's methane concentration rose to 14.6%, while average COD removal efficiencies for R1, R2, and R3 were 78.9%, 70.8%, and 52.5%, respectively. Under pH adjustment, all reactors peaked at pH 4.0, with hydrogen production rates of 0.10, 7.74, and 8.83 mol/(kg·d) for R1, R2, and R3, respectively. These findings demonstrate that MAP pretreatment combined with sludge heat treatment significantly enhances biohydrogen production, offering a promising strategy for swine wastewater valorization.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025040701
Goaf water (GW), formed by water accumulation in coal mine goafs, poses ecological risks due to its pollutant content. While previous studies focused on physicochemical properties, microbial community dynamics and their effects on plants remain underexplored. Maize (Zea mays L.) is sensitive to water quality changes, making it a suitable model for ecological risk assessment. This study investigated GW samples from a coal mine in Yangquan, Shanxi Province, using metagenomic sequencing to analyze microbial communities and maize seed cultivation experiments to evaluate growth effects. Results demonstrated that GW significantly inhibited maize growth, particularly lower-depth samples. Microbial diversity and composition varied markedly with depth; lower-depth GW enriched distinct microbial species potentially influencing plant growth. These microbes may regulate plant development through metabolic pathway modulation. The study elucidates the complex impacts of GW microbial communities on plant growth and emphasizes their importance in ecological risk assessment of GW.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3949-4
Sodium metal is considered an ideal anode material for high-performance sodium-based batteries. However, volume changes and dendrite growth during cycling seriously restrict its practical application. To address these challenges, this study utilizes harmful green tide algae Enteromorpha prolifera as a raw material to fabricate a self-supporting, sodiophilic, 3D Enteromorpha prolifera-derived carbon (EC) matrix via defect engineering. The results demonstrate that the 3D EC matrix can reduce nucleation overpotential, enhance binding ability with sodium atoms, and induce sodium to deposit horizontally inside EC, effectively addressing the issue of dendrite formation. Furthermore, the Na-EC symmetric cell demonstrates exceptional cycling stability with an ultralow polarization of 12 mV over 1000 h at 5 mA cm−2, 5 mA h cm−2. Notably, this stability persists even under ultrahigh current density and areal capacity conditions (30 mA cm−2, 30 mA h cm−2), maintaining stable operation for 500 h. When configured in full-cell systems with Na3V2(PO4)3 cathode, the assembled cell delivers an initial discharge capacity of 108.1 mA h g−1 at a 1 C rate, and maintains a capacity retention rate of 94.4% after 500 cycles. This study proposes an innovative strategy to advance high-performance dendrite-free sodium metal batteries through the recycling of marine environmental waste into functional energy materials.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202608015
Inter-basin water diversion projects can profoundly alter the water quality dynamics of receiving basins. Taking the Qincun Reservoir and its downstream reaches in the Huangze River Basin as a case study, this research quantitatively evaluates water-quality responses under multiple coordinated management measures. An integrated Environmental Fluid Dynamics Code-Soil and Water Assessment Tool (EFDC-SWAT) modeling framework was established, coupling a two-dimensional hydrodynamic-water-quality model for the reservoir with a hydrology-water-quality model for the downstream reaches. Seven management scenarios were designed to reflect various combinations of point- and non-point-source pollution control strategies. Simulations focused on spatiotemporal variations in key indicators—total nitrogen (TN), total phosphorus (TP), ammonia nitrogen (NH3-N), and permanganate index (CODMn)—and assessed pollution-load reduction effectiveness. Comparative analysis using the comprehensive water quality identification index (CWQII) revealed that under Scenario 3 (highest pollution-control standards with lowest diversion volume), TN and TP concentrations in the reservoir decreased by 80% and 50%, respectively, achieving Class II water-quality standards. Downstream TN and TP levels declined by 36% and 33%, and the CWQII improved from 4.211 to 3.410. Land consolidation contributed 77% and 45% to TN and TP load reductions in the reservoir, respectively, while a 20% reduction in diversion volume was most effective in improving downstream TN (>50%). These results demonstrate that the coupled EFDC-SWAT model effectively elucidates mechanisms through which inter-basin water diversion influences water quality in supply areas. Moreover, synergistic point- and non-point-source controls exhibit a nonlinear enhancement effect on overall water-quality improvement.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4080-y
M1 macrophages (M1φ) are pivotal drivers in the progression from non-alcoholic fatty liver (NAFL) to non-alcoholic steatohepatitis (NASH). Longitudinal monitoring of intrahepatic M1φ could facilitate non-invasive diagnosis of NASH, yet achieving specific and sensitive in vivo imaging of M1φ remains challenging due to the nonspecific phagocytic activity common to all phenotypic macrophages. In this study, we developed a dual-target-recognizing photoacoustic nanoprobe that can target glucose transporters (GLUTs) and be selectively activated by nitric oxide (NO). Benefiting from its enhanced affinity for M1φ and decent responsive capability to NO, the probe exhibited favorable imaging performance toward M1φ in ex vivo experiments. Following systemic administration in diabetic mice, the probe rapidly accumulated in the liver, where it was selectively internalized by M1φ via specific recognition between glucose molecules and GLUTs, further inducing a NO-triggered enhancement of the photoacoustic signal. Distinct photoacoustic signal enhancement patterns were observed between NAFL and NASH livers, enabling non-invasive in vivo discrimination of NASH. This study proposes a novel strategy using a dual-target-recognizing probe to improve the selectivity and sensitivity of in vivo M1φ imaging, while also providing new insights for the non-invasive diagnosis of NASH.