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🏛️ Key Research Academy22 Indexed Works

Tongji University

Verified scientific contributions, CAS laboratory outputs, clinical trial papers, and engineering breakthroughs produced by researchers and faculty affiliated with Tongji University.

SCIENCE CHINA Materials2026

Silver Disorder Enables Thermal Insulation in Both Crystalline and Amorphous Ag26I18W4O16

Authors: LIU Ziyue, LI Changyuan, BAI Qingyu, WU Linjie, YANG Long, LUO Jun, CHEN Zhiwei, PEI Yanzhong

Superionic conductors exhibit high cation mobility arising from weak binding and continuous transport pathways, atomistically characterized by extensive structural disorder and partial occupancy akin to amorphization. This disorder, whether confined to a cation sublattice or extended to full amorphization, strongly impedes lattice thermal transport, rendering these materials intrinsically ideal thermal insulators. This work investigates Ag26I18W4O16, a superionic conductor tunable from fully amorphous to single-crystalline states, as a model system to probe the impact of disorder and amorphization on thermal transport. Extensive Ag+ disorder, in both crystalline and amorphous phases, reduces thermal conductivity to approximately the theoretical lower bound of 0.16 W/m-K with virtually no temperature dependence, while concurrently achieving the lowest mean sound velocity ever recorded for a dense solid. Pair distribution function (PDF) analysis of synchrotron X-ray total scattering data indicates that short-range disorder (< 5 Å), rather than long-range periodicity, governs thermal insulation performance in both phases. These findings suggest a design strategy reconciling structural stability with glass-like thermal insulation.

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SCIENCE CHINA Materials2026

Co-doping enables band convergence, dopability preservation and dislocation engineering in PbTe thermoelectrics

Authors: WU Yixuan, NAN Pengfei, CHEN Zhiwei, ZENG Zezhu, DONG Hongliang, LI Wen, CHEN Yue, GE Binghui, PEI Yanzhong

Thermoelectric materials enable direct and reversible conversion between heat and electricity, offering unique advantages for waste heat recovery, solid-state refrigeration, and deep-space power systems. The performance is evaluated by the dimensionless figure of merit, zT = S²σT/κ, where S is the Seebeck coefficient, σ is the electrical conductivity, T is the absolute temperature, and κ is the total thermal conductivity. Achieving high zT requires simultaneous realization of a large power factor (S²σ) and low thermal conductivity. However, these parameters are intrinsically coupled, posing a fundamental challenge. PbTe is a representative thermoelectric material operating in the intermediate temperature range, with outstanding performance originating from its unique electronic band structure featuring multiple nearly degenerate valence band maxima near the L points. Band convergence via alloying with mono-tellurides such as MgTe, MnTe, CdTe, YbTe, SrTe, and EuTe effectively modifies the valence band structure, increasing band degeneracy and density-of-states effective mass, thereby enhancing electrical conductivity without decreasing the Seebeck coefficient. However, increasing the content of these mono-tellurides limits acceptor dopability, making conventional dopants like Na difficult to incorporate. This study demonstrates that co-doping strategies can preserve dopability while achieving band convergence and dislocation engineering, leading to significantly reduced lattice thermal conductivity and extraordinary peak zT values. The decoupling of electronic and thermal transport through this approach offers a promising route for high-performance thermoelectrics.

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SCIENCE CHINA Materials2026

Ultrafast Scintillation Enabled by Exciton Localization in High-Entropy Fluoride Crystals

Authors: GUO Junyao, QIAN Xinyu, ZHANG Fan, ZHAO Naizhe, ZHANG Chaoyi, WANG Qingguo, LI Dongzhen, TANG Huili, WANG Wudi, ZHANG Chenbo, CHEN Liang, LIU Bo, OUYANG Xiaoping, XU Jun

Ultrafast scintillators with low-nanosecond emission are essential for next-generation high-rate X-ray and particle imaging. Although Ce3+-activated scintillators inherently exhibit fast response characteristics, conventional Ce3+-doped hosts rarely achieve low-nanosecond ultrafast decay. Here, we report a high-entropy fluoride scintillator (HEFS), Ce:LaGdCaSrBaF12 (Ce:LGCSB), in the form of bulk single crystals. The severe lattice distortion arising from multi-cation disorder induces exciton localization and effectively suppresses exciton diffusion. Through the rapid relaxation of localized excitons, the high-entropy Ce:LGCSB single crystals deliver a decay time of 1.23 ns with a 94.6% fast-component contribution and without any noticeable slow component. Through first-principles calculations, spectroscopic characterization, and transient dynamics analysis, we reveal that the ultrafast response originates from accelerated Frenkel exciton (FE) recombination enabled by the high-entropy environment. This work establishes entropy-engineered fluorides as promising ultrafast scintillator platforms and proposes a general strategy for extending sluggish diffusion effects to the excitonic scale, offering new opportunities for improving scintillation timing performance.

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SCIENCE CHINA Materials2026

Towards Synergistic Transport of Ions and Electrons at the Interface between Janus Nanofiber Separators and Solid Electrolyte Interphase

Authors: PENG Yin, ZHU Yang, PU Hongting

Localized overheating in high-rate lithium-ion batteries (LIBs) or lithium metal batteries (LMBs) accelerates dendrite formation, disrupting current density and thermal distribution uniformity. This study constructs a Janus-structured, polybenzimidazole (PBI)-welded separator (JNS@PBI) with polypropylene nanofibers (PPNFs) on one face and nanoscale carbon black-modified PPNFs (CPPNFs) on the other. The CPPNFs layer provides electronic conductivity to homogenize interfacial current distribution and heat dissipation, while the PPNFs layer ensures electronic insulation. PBI, serving as a welding agent with intrinsic ionic conductivity, enhances mechanical properties and lithium-ion transport. This design enables synergistic transport of ions and electrons at the JNS@PBI/SEI interface. Density functional theory (DFT) calculations elucidate how JNS@PBI enhances interfacial ion transport and regulates lithium deposition. JNS@PBI exhibits high porosity (71.3%), superior electrolyte uptake (451%), and high ionic conductivity (1.80 mS cm−1). Electrochemical tests confirm exceptional interfacial stability, with stable polarization voltage over 2000 h of plating/stripping cycles. Remarkable rate capability and cycling endurance are observed: high-capacity retention rates of 85.2% after 700 cycles at 1 C and 90.3% after 1500 cycles at 3 C in assembled LiFePO4/graphite full cells. This work provides a promising approach for next-generation separators for high-safety LIBs or LMBs.

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SCIENCE CHINA Materials2026

Bioelectric Responsive Nanozymes for Catalytic Control of Lipid Peroxyl Radicals

Authors: GUO Mengnan, WANG Luo, LIU Xianping, CHEN Feixiang, ZHAI Yuyang, WU Yelin, JIANG Xingwu, YUAN Ying, SHI Ruicheng, LIU Yanyan, BU Wenbo

Lipid peroxyl radicals (ROO·) are terminal propagating species in lipid peroxidation, driving oxidative damage in neurological disorders. Their prolonged lifetime and rapid diffusion within lipid membranes render them difficult to neutralize. Here, we report a bioelectric-responsive TEMPO-doped polydopamine (PDA@TEMPO) nanozyme that sustains catalytic interception of ROO· radicals under persistent oxidative stress. By coupling a PDA redox reservoir with TEMPO catalytic centers, the nanozyme establishes a self-regenerating radical-neutralization cycle via proton-coupled electron transfer (PCET). The π-conjugated framework facilitates charge migration and enables an electric-field-enhanced antioxidant response. In a seizure model, the nanozyme dynamically responds to bioelectric fluctuations, accelerating radical interception and alleviating oxidative stress in neural microenvironments. These findings establish bioelectric-coupled nanozymes as a general strategy for catalytic and sustained regulation of oxidative stress in neural microenvironments, providing a potential therapeutic approach for neurological disorders.

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SCIENCE CHINA Materials2026

Cycling Decay Mechanism and Accelerated Aging Model of Sulfur-Based Lithium-Ion Batteries

Authors: Huangwei Zhang, Xiaoyu Ge, Yidan Zhang, Kai Huang, Qihang Wang, Xin Deng, Yue Shen, Feng Ryan Wang, Jiulin Wang, Yunhui Huang, Zhen Li

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.

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SCIENCE CHINA Materials2026

Ionogel Sensor for Reproducible Detection of Trace Methamphetamine Analogues

Authors: Gonghai Yang, Chonghao Xiong, Ziyi Guo, Junyao Zhang, Chenshuang Pan, Chenghao Wang, Liqiong Zhang, Jiaying Yun, Lize Xiong, Shiqi Zhang, Yidong Zou, Jie Yang, Yanyan Fu, Jia Huang

Drug detection is critical for public health and security, yet reversible and highly sensitive sensing materials remain scarce. This study presents a novel ionogel sensor material, poly(ethylene glycol) diacrylate (PEGDA)/1-butyl-3-methylimidazole tetrafluoroborate, for reproducible detection of N-methylphenylethylamine (MPEA), a structural analogue of methamphetamine. The ionogel is fabricated by immobilizing a flowable ionic liquid within a PEGDA network via UV curing, preserving ionic mobility for efficient conduction. Integrated on a flexible poly(ethylene naphthalate) substrate, the sensor exhibits over 72.6% transmittance in the visible spectrum, enabling concealed attachment. Utilizing non-covalent interactions, the sensor achieves reproducible MPEA detection at sub-ppb levels at room temperature, with a theoretical detection limit of 317 ppt. It demonstrates high selectivity and consistency. Ionic conductivity was confirmed via current-voltage tests and impedance spectroscopy, and the sensing mechanism was clarified. The device maintains reliable performance under bending, indicating suitability for dynamic environments. With Bluetooth integration for wireless data transmission, the sensor shows strong potential for practical, discreet drug monitoring in real-world applications.

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Environmental Chemistry2026

Transgenerational Toxicity of Acetamiprid in Caenorhabditis elegans

Authors: WANG Zhaoli, CAO Miao, XU Ting, YU Zhenyang, WEI Sheng, GUO Xueping, YIN Daqiang

Acetamiprid, a representative neonicotinoid insecticide, persists in soil and water, posing ecological risks. This study evaluated its transgenerational toxicity in Caenorhabditis elegans exposed to 1, 10, and 100 μg·L−1. Direct exposure (F0) caused neurobehavioral abnormalities, with head swing frequency significantly increased by 23.86% even at 1.0 μg·L−1, correlating with disrupted acetylcholinesterase and γ-aminobutyric acid. Reproduction, development, metabolism, and intestinal barrier were impaired, with reactive oxygen species elevated by 30.42%–48.28%, indicating oxidative stress as a mechanism. Effects transmitted to unexposed T1–T3 generations: at 1.0 μg·L−1, body width inhibition persisted to T2; fat accumulation and intestinal permeability effects intensified with concentration. Among oxidative stress biomarkers, superoxide dismutase showed highest sensitivity and transgenerational persistence. This study reveals multidimensional transgenerational toxicity, informing soil ecological risk assessment of neonicotinoids.

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Journal of Environmental Engineering Technology2026

Synergistic Benefits of Pollution Reduction and Carbon Mitigation from Converting Food Waste into Carbon Sources for Wastewater Treatment Plants

Authors: SHEN Guiyan, WEI Wei, XIAO Xiong, HUANG Jingjie, JIAO Xudong, DU Huanzheng, ZHANG Li, YUAN Wenyi, WANG Tao

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.

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Journal of Environmental Engineering Technology2026

A Multi-Pollutant Time-Series Prediction Model Based on Long Short-Term Memory Networks

Authors: ZHOU Yongquan, ZHUANG Jiawei, WANG Chuan, OUYANG Chuang, ZHAO Chunlong, LIN Kunsen, ZHAO Youcai

To meet the minute-level early-warning requirements for odor and multi-pollutant emissions at waste treatment facilities, this study proposed a multivariate short-term time-series prediction framework applicable to multi-tier scenarios covering source and boundary points (i.e., workshops and plant boundaries). Based on continuous online monitoring data with a 5-second resolution, a long short-term memory (LSTM) model using a sliding-window and recursive multi-step prediction strategy was constructed to jointly model odor concentration (OU) and pollutants including VOCs, NH3, H2S, and CH3SH (mg/m³). An evaluation protocol aligned with environmental supervision practice was established, incorporating mean absolute error (MAE), root mean square error (RMSE), goodness-of-fit (R²), skill scores (SS) relative to a persistence baseline, and threshold-based error stratification to characterize uncertainty during peak emission periods. The results showed that at workshop monitoring sites with relatively stable operating conditions, VOCs, NH3, H2S, and CH3SH exhibited a high goodness of fit and low prediction errors. In contrast, at boundary sites affected by plume arrival delays and diffusion-dilution non-stationarity, OU and VOCs displayed significantly amplified errors during peak episodes, and the skill score advantage over the baseline became unstable at certain sites. Stratified analysis consistently revealed that non-peak periods outperformed peak periods, indicating that event-driven fluctuations were the main sources of error. Accordingly, this study suggested incorporating exogenous variables such as wind speed and direction, ventilation and gate access control, and operational rhythms, along with peak-sensitive loss functions, into the model to enhance its capacity to characterize and provide early warnings for transient emission pulses. Overall, this study established a reusable methodological baseline and evaluation paradigm for minute-scale multi-pollutant prediction, providing quantitative support for the operational management and source-to-boundary coordinated control of waste treatment facilities.

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SCIENCE CHINA Materials2026

Inflammatory microenvironment-triggered oral mucositis treatment by guanosine microneedles

Authors: Jianhua Li, Jialu Chen, Beibei Zhang, Pingyi Zhu, Xingsen Yang, Junhao Liang, Yuan He, Yong Hu, Jianzhong Du

Oral mucositis (OM) is a debilitating complication of cancer therapy, characterized by severe pain, mucosal barrier breakdown, and infection risk. Current hydrogel-based topical systems suffer from poor transmucosal permeation and lack of inflammatory microenvironment-triggered drug release. Here, we report a supramolecular strategy for designing guanosine-fibril hydrogels and derived microneedle patches. Tavaborole (Ta), crisaborole (Cr), and strontium (Sr2+) ions serve dual roles as structural building blocks and biofunctional agents. Unlike conventional G4·K+ fibrils, the unique G4·Sr2+-Ta/Cr fibrils incorporate Ta/Cr via boronic ester bonds on guanosine and Sr2+ through G-quartet cation recognition. This design mechanically reinforces the hydrogel through additional hydrophobic interactions and ion-pair recognition, while synergistically providing antimicrobial/anti-inflammatory effects (Ta/Cr), pro-angiogenic activity (Sr2+), and reactive oxygen species (ROS) scavenging (guanosine). The optimized gelation process enables fabrication of microneedle patches with pseudomembrane-penetrating capability and ROS-triggered drug release via boronic ester hydrolysis. In vivo mouse experiments confirm efficacy in controlling OM-associated inflammation, modulating oral microbiota homeostasis, and promoting angiogenesis at ulcer sites. This work demonstrates multifunctional integration via hierarchical structural design, extending guanosine supramolecular assemblies into bioactive platforms for OM treatment.

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Environmental Chemistry2026

Effects and Mechanisms of Non-Antibiotic Emerging Contaminants on Fish Gut Microbiota

Authors: SU Yongsheng, GUO Xueping, YIN Daqiang

Non-antibiotic emerging contaminants (ECs) pose a growing threat to aquatic organisms, particularly fish, yet their impact on gut microbiota remains inadequately characterized. This systematic review synthesizes current evidence on the effects and mechanisms of non-antibiotic pharmaceuticals, pesticides, per- and polyfluoroalkyl substances (PFAS), nanomaterials, and microplastics on fish gut microbiota. Exposure to these ECs directly alters microbial composition and diversity, while indirectly disrupting host metabolism and immune function, leading to significant health impairments. Notably, EC exposure induces dysregulation of key factors such as lipopolysaccharide (LPS), compromising intestinal barrier integrity. Concurrently, gut microbiota can metabolically transform certain ECs into derivatives, establishing a complex pollutant-microbiota-host interaction network. The gut microbiota mediates EC-induced neurotoxicity, immune dysfunction, and metabolic disorders through signaling pathways such as TLR/NF-κB and metabolic homeostasis regulation. Current research predominantly addresses short-term exposure effects, leaving long-term low-dose impacts and transgenerational mechanisms poorly understood. Future investigations should employ multi-generational exposure and microbiota transplantation to elucidate gut microbiota-mediated toxicity mechanisms under non-antibiotic EC stress. This review underscores the urgent need for comprehensive risk assessment and regulatory frameworks targeting non-antibiotic ECs in aquatic environments.

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Environmental Chemistry2026

Research Progress of Heterogeneous Electro-Fenton Process for Water Treatment: Key Factors and Optimization Strategies

Authors: WANG Yaoye, WANG Ying

Persistent organic pollutants (POPs) are ubiquitously detected in aquatic environments, and conventional treatment methods fail to achieve efficient degradation due to their structural stability and resistance to biological transformation. Heterogeneous electro-Fenton (HEF) technology, which generates H2O2 in situ via the two-electron oxygen reduction reaction (2e−ORR) and activates it to hydroxyl radicals (·OH) on solid catalysts, has emerged as a promising advanced oxidation process. HEF eliminates the need for external reagents, offers adjustable potential, and operates effectively across a broader pH range than classical Fenton, mitigating iron sludge production and secondary pollution. However, catalytic efficiency is significantly influenced by catalyst properties, solution pH, current density, and electrolyte type. Current research focuses on two main strategies: (1) developing high-performance bifunctional catalysts that simultaneously enhance 2e−ORR selectivity and H2O2-to-·OH conversion efficiency, and (2) constructing dual-cathode systems that spatially separate H2O2 generation and activation, thereby improving reaction synergy, reducing metal leaching, and enhancing electron utilization. Additionally, HEF can be coupled with electro-oxidation, persulfate activation, and UV irradiation to exploit synergistic effects, enhancing mineralization efficiency and reducing energy consumption. This paper systematically reviews the reaction mechanisms, key influencing factors, and optimization strategies of HEF, aiming to provide a theoretical basis and technical reference for its engineering application.

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Chinese Journal of Environmental Engineering2026

Comparative Analysis of Greenhouse Gas Emission Factors for Recyclables from Municipal Solid Waste

Authors: YANG Xuerui, LU Tao, LV Fan, ZHANG Hua, HE Pinjing

Recyclables constitute a significant fraction of municipal solid waste (MSW) and hold substantial potential for resource utilization and greenhouse gas (GHG) emission reduction, contributing to carbon peak and carbon neutrality goals. However, reported GHG emission factors (EFs) for various recyclables vary widely across databases and literature, ranging from -19,110 to -125 kgCO2-eq·t⁻¹, with significant differences both among categories and within the same category, complicating accurate accounting. This study systematically integrates literature data on EFs for different recyclable categories, focusing on identifying factors causing intra-category variability. Data were collected from global databases (ecoinvent, WARM, CPCD, NAEI) and peer-reviewed studies over the past two decades, normalized to a functional unit of 1 tonne of recyclable. Statistical analysis (mean ± standard deviation) provided reference ranges for each category. Results show paper recyclables EFs range from -3,140 to 270 kgCO2-eq·t⁻¹, with corrugated cardboard and writing paper exhibiting higher absolute values than packaging paper due to structural strength and resource value. Plastic recyclables EFs range from -3,096 to -566 kgCO2-eq·t⁻¹, with EPS showing the highest reduction potential, followed by PET and PVC, then HDPE, LDPE, PP, and other plastics. Key influencing factors include functional unit definition, accounting scenario, system boundary, electricity emission factor selection, and calculation assumptions. The study recommends selecting EFs matching the specific accounting scenario and performing error analysis. Data gaps remain for LDPE, EPS, and other plastics, necessitating further experimental or field data. To enhance accuracy, calibration methods such as process-level and life-cycle inventory data calibration are proposed. This work provides a scientific basis for EF selection and calibration in GHG accounting of recyclables.

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Journal of Environmental Engineering Technology2026

Comparative Analysis of CH4 and N2O Generation and Emission Characteristics in A2/O and A2/O-MBR Wastewater Treatment Plants

Authors: SHANG Zhenxin, LIU Jia, GUO Yanli, HUANG Xiangfeng, CAI Chen

The A2/O-MBR process, owing to its superior effluent quality and smaller footprint, is increasingly adopted in newly built and upgraded wastewater treatment plants. However, systematic studies on its greenhouse gas (GHG) emissions remain scarce, and direct comparisons with the conventional A2/O process are lacking. In this study, two full-scale wastewater treatment plants employing the A2/O and A2/O-MBR processes under identical influent conditions, climate, and discharge standards were investigated. A high-frequency monitoring system covering the entire treatment train was established, and combined with measurements of dissolved CH4 and N2O, water quality parameters, and operational parameters, to elucidate the differences in GHG emission characteristics. Results showed that the daily average CH4 emission intensities were not significantly different between the two plants [(0.67 ± 0.22) and (0.65 ± 0.18) g/m3, respectively]. CH4 emissions mainly originated from sewer-derived anaerobic production and subsequent release in the pretreatment units (accounting for over 70% of the total emissions), with partial in-plant oxidation by methanotrophs. Temperature and aeration-induced stripping were identified as key driving factors, as CH4 emissions were positively correlated with ambient temperature and dissolved oxygen (DO). In contrast, more than 90% of N2O emissions occurred in the biological treatment units. The A2/O-MBR plant exhibited significantly higher daily N2O emission intensity [(0.132 ± 0.055) g/m3] than the A2/O plant [(0.060 ± 0.046) g/m3], largely due to intensive aeration and oxygen-enriched internal/external recirculation in the membrane tank, which enhanced N2O production and stripping. Correlation analysis further revealed that N2O emissions in the A2/O plant were positively related to influent COD and BOD5, indicating dominance of heterotrophic denitrification, whereas in the A2/O-MBR process they were mainly driven by NH3-N loading and DO, reflecting a nitrification-based pathway. Importantly, both processes exhibited CH4 and N2O emission factors that were significantly lower than the reference values recommended by the IPCC and industry guidelines, underscoring the necessity of localizing emission factors for accurate carbon accounting.

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Journal of Environmental Engineering Technology2026

Machine Learning-Based Prediction of Acidogenic Performance in Anaerobic Fermentation of Chemical-Biological Sewage Sludge

Authors: ZHAO Ke, LI Tianle, LIU Changjie, PING Qian

Municipal sludge anaerobic resource recovery efficiency in China lags behind developed countries. Widespread chemical phosphorus removal increases iron and aluminum salt precipitates in waste activated sludge, forming chemical-biological sludge that reduces acidogenic efficiency. This study identified key factors and developed a high-precision prediction model. Integrating literature and experimental data, acidogenic performance indicators under various conditions were compiled. Five machine learning models—Backpropagation Neural Network, Adaptive Neuro-Fuzzy Inference System, Support Vector Machine, K-Nearest Neighbors, and Random Forest—were systematically compared. Random Forest achieved the best predictive performance with a test set coefficient of determination (R²) of 0.9463, significantly outperforming others with minimal overfitting risk, demonstrating strong capability for high-dimensional, nonlinear, multi-factor coupled problems. Feature importance analysis revealed pH and Volatile Suspended Solids (VSS) as primary drivers, with aluminum salts exerting greater influence than iron salts. Engineering optimization should follow the pathway: 'adjust pH, stabilize organic matter, control aluminum salts'. This study provides an intelligent predictive tool and clarifies optimization directions, advancing precision and intelligent sludge treatment.

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Journal of Environmental Engineering Technology2026

Operational Efficiency and Fouling Mechanism of a Novel Swinging Ultra-Fine Screen

Authors: CHENG Yuantao, ZHANG Zongsheng, ZHANG Jie, WU Zhichao, ZANG Lili

Municipal wastewater treatment plants in China face excessive influent grit loads and carbon source deficiencies, while conventional pretreatment (screening, grit chambers, primary sedimentation) exhibits low fine grit removal and poor carbon retention. A novel swinging ultra-fine screen with a screening precision of 0.1 mm was developed and tested at a pilot scale of 1000 m³/d. Systematic evaluation of screens with apertures from 0.05 to 0.4 mm was conducted, with mechanisms analyzed via particle size distribution, COD fractionation, and fouling layer characterization. The 0.1 mm screen achieved an SS removal efficiency of 89.3%, significantly higher than 57.4% for conventional processes, while COD removal was only 9.5% versus 28.6%, corresponding to a carbon source retention of 93%. The device nearly completely retained particles >0.1 mm and achieved >98% removal for particles in the 0.075–0.1 mm range. Performance remained stable under fluctuating COD and SS conditions. A three-stage fouling theory for micro-screens was proposed. This work represents the first application of 0.1 mm screening precision in pretreatment, markedly improving fine grit retention and carbon source preservation, with strong resilience to water quality variations.

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Journal of Environmental Engineering Technology2026

Current Status of Food Waste Anaerobic Digestion and Challenges in Carbon Source Production in China

Authors: ZHAO Zhenzhen, QIU Junjie, YI Yangmin, HUANG Huimin, JIANG Guihong, YANG Hujun, ZHANG Hongliang, HE Pinjing

Resource utilization of food waste is a key measure for implementing waste classification and constructing zero-waste cities in China. However, the technical route based on anaerobic digestion currently faces developmental bottlenecks. In this study, engineering-scale facilities located in Northeast, North, Northwest, and Southeast China were selected, and material flow analysis was employed to comprehensively assess the current status of anaerobic digestion of food waste. The results indicated that, during the pretreatment stage, both leachate and organic slurry from all surveyed regions exhibited high COD/TN ratios, and the leachate contained high concentrations of lipids. Following three-phase (oil-water-solid) separation, the oil recovery rate could reach over 98%. Anaerobic digestion of each ton of food waste from the four regions generated approximately 70 to 80 Nm³ of biogas, while simultaneously producing liquid digestate accounting for 69% to 80% of the total mass and solid digestate accounting for 2.7% to 3.6%. However, the annual continuous production of digestate was not aligned with the seasonal demand for land use, thereby restricting the pathway for resource utilization. Converting food waste into an external carbon source can significantly enhance its resource utilization efficiency, with the economic benefits increasing by more than 203% compared to the methanogenesis pathway. The selection of the carbon source production technology route should be comprehensively determined by taking into account factors such as the specific nitrogen removal requirements of the target wastewater treatment process, the quality requirements for the carbon source products, and the substitution rate of commercial carbon sources.

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Journal of Environmental Engineering Technology2026

Source-Sink Spatial Mismatch Characteristics and Health Risks of Soil BTEX in a Decommissioned Industrial Site on a Coastal Plain

Authors: WANG Lei, XIE Li, SUN Rui, TAN Xuejun, ZHANG Xiang, JIANG Wenchen

The relocation of numerous industrial enterprises in China has left behind soil contamination, particularly by volatile organic compounds such as BTEX, whose migration and health risks are of great concern. Coastal plains, characterized by high groundwater tables and interbedded sedimentary strata, exhibit contaminant distribution and migration patterns distinct from inland regions. This study investigated a decommissioned resin plant site in the Yangtze River Delta coastal plain, systematically analyzing the spatial distribution, migration, and health risks of soil BTEX. Seven BTEX compounds were detected with detection rates ranging from 24.3% to 47.1%. Maximum concentrations of benzene, ethylbenzene, and m/p-xylene exceeded China's Class I construction land screening values. The contaminant plume was predominantly located in the southern product warehouse area, while the potential source was traced to the upstream wastewater treatment unit, indicating a 'source-sink' spatial mismatch. Vertically, contaminants exhibited a 'shallow-layer volatilization, middle-layer enrichment, and deep-layer retardation' pattern, with significant enrichment in silty clay at 3–6 m depth and sharp concentration declines in mucky clay. Membrane Interface Probe (MIP) multi-parameter detection revealed that benzene and toluene migrated as a whole, whereas chlorobenzene lagged due to strong adsorption. Benzene posed the most significant health risk, with carcinogenic risk up to 7.42×10⁻⁴ and non-carcinogenic hazard quotient up to 38.24, both exceeding acceptable levels. Inhalation of indoor air contaminated by vapor intrusion from underlying soil contributed over 87% of benzene's total risk, dominating the exposure pathway. This study elucidates the unique migration and risk formation mechanisms under high water table and interbedded strata, providing a scientific basis for precise investigation, risk assessment, and remediation of similar contaminated sites.

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SCIENCE CHINA Materials2026

Integrated ionic-electronic LATP@C nanofiber networks enable 100 mg cm−2 dry-processed Ni-rich cathodes for lithium-metal batteries

Authors: LU Jingshan, ZHANG Yue, SONG Ruifeng, XIONG Xiaoqin, WANG Feng, HUANG Yunhui, XU Henghui

Dry electrode processing offers a solvent-free and scalable pathway toward high-energy lithium metal batteries (LMBs), yet its practical implementation is constrained by tortuous ion/electron transport and weak mechanical cohesion in ultra-thick electrodes. Here, we construct a carbon-coated NASICON-type Li1.3Al0.3Ti1.7(PO4)3 nanofiber network (LATP@C) that serves as an integrated ionic-electronic scaffold within dry-processed Ni-rich cathodes. The one-dimensional LATP@C fibers form a continuous 3D percolation architecture that couples fast Li+ conduction from the NASICON core with efficient electron transport through the conformal carbon shell. Their rough, oxygen-functionalized surfaces further enhance electrolyte affinity, while the mechanically robust fibrous network bridges NCM811 secondary particles, suppressing crack initiation and preserving structural integrity during cycling. Benefiting from these collective effects, the LATP@C cathode with 100 mg cm−2 loading delivers 203 mA h g−1 at 0.1 C and maintains 96.7% capacity over 35 cycles at 0.2 C. Pouch cells incorporating 60 mg cm−2 LATP@C cathodes retain 80.5% capacity after 50 cycles, highlighting the practical viability of this design.

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SCIENCE CHINA Materials2026

Ni5.75SnTe5 as a Reliable Contact Layer for SnTe-Based Thermoelectric Devices

Authors: Jing Tang, Yanzhong Pei

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.

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SCIENCE CHINA Materials2026

Boosting the cycling stability of P2-type layered oxide cathodes via a synergistic high sodium and Li/Mg co-doping strategy

Authors: Yuheng Gao, Ping Zhang, Guohua Zhang, Jianwei Wu, Jiwei Ma, Yunhui Huang, Renyuan Zhang

Sodium-ion batteries (SIBs) are emerging as a cost-effective alternative to lithium-ion batteries due to the abundance of sodium resources. Among cathode materials, P2-type layered oxides (Na_xTMO_2) offer high ionic conductivity and rate capability but suffer from low initial sodium content and Na+/vacancy ordering, leading to structural degradation and capacity fading. This study proposes a synergistic strategy combining high sodium content with Li/Mg co-doping to enhance the cycling stability of P2-type cathodes. The high sodium content increases the sodium reservoir, reducing the depth of desodiation for a given capacity, while Li/Mg co-doping mitigates Na+/vacancy ordering and stabilizes the crystal structure. The optimized cathode exhibits significantly improved cycling performance, retaining 82.3% of its initial capacity after 500 cycles at 1C, compared to 65.4% for the undoped counterpart. Furthermore, the co-doped material demonstrates enhanced rate capability, delivering 112 mAh/g at 5C, and suppressed phase transitions, as evidenced by in-situ X-ray diffraction. This work provides a rational design pathway for high-performance P2-type cathodes, addressing key bottlenecks in SIB commercialization.

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