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Application and Mechanistic Study of Lactate Regulation and Microbial Immobilization Technology in Sediment Microbial Fuel Cell Systems

Graphical AbstractVerified

Chinese Journal of Environmental Engineering2026

Application and Mechanistic Study of Lactate Regulation and Microbial Immobilization Technology in Sediment Microbial Fuel Cell Systems

Sediment microbial fuel cells (SMFCs) are a green technology for simultaneous polluted sediment remediation and energy recovery, yet their performance is constrained by insufficient anodic microbial activity and low electron transfer efficiency. This study employed lactate addition combined with composite engineered microbial immobilization to synergistically optimize SMFC performance by enhancing microbial stability and carbon source supply. Results showed that lactate, as an easily utilized electron donor, promoted electrochemical activity, achieving a maximum power density of 22.06 mW·m−2 at 6 mmol·L−1, a 194% improvement over the blank group. Immobilization further enhanced electron transfer efficiency, with the highest output voltage (88.75 mV) being 2.09 times that of the non-immobilized group. For pollutant degradation, the 6 mmol·L−1 lactate group achieved TOC and TN removal rates of 29.02% and 28.4%, respectively, outperforming the control (22.41% and 21.42%). However, high lactate concentrations inhibited microbial metabolism, leading to TOC accumulation. 16S rRNA analysis revealed that the anodic microbial community was dominated by Bacillota and Pseudomonadota, both possessing electroactive and pollutant-degrading capabilities, indicating that lactate and immobilization exert a synergistic effect in SMFCs, simultaneously enhancing electricity generation and pollutant removal efficiency.

Read Full Abstract10.12030/j.cjee.202511062

Tuning surface oxygen species via Mg-Ba co-doping on La2O3 to enhance oxidative coupling of methane performance

Graphical AbstractVerified

Journal of Fuel Chemistry and Technology2026

Tuning surface oxygen species via Mg-Ba co-doping on La2O3 to enhance oxidative coupling of methane performance

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.

Read Full Abstract10.1016/S1872-5813(26)60677-9

Network Toxicology and Molecular Dynamics Simulation Elucidate Bisphenol A-Induced Neurotoxicity in SVGP12 Astrocytes: Mechanistic Insights and Risk Assessment for Chronic Neurodegenerative Diseases

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Environmental Chemistry2026

Network Toxicology and Molecular Dynamics Simulation Elucidate Bisphenol A-Induced Neurotoxicity in SVGP12 Astrocytes: Mechanistic Insights and Risk Assessment for Chronic Neurodegenerative Diseases

Bisphenol A (BPA), a high-volume industrial chemical, is implicated in neurotoxicity and chronic neurodegenerative diseases. This study integrates network toxicology, molecular docking, and molecular dynamics simulations to systematically delineate the common mechanisms linking BPA to Alzheimer's disease (AD), Parkinson's disease (PD), and Huntington's disease (HD). Using the human astrocyte cell line SVGP12 as an in vitro model, we identified six key toxic functional proteins—TP53, HSP90AA1, HSP90AB1, INS, BCL2, and AKT1—that mediate BPA's effects across these diseases, with BCL2 emerging as the most central node. Experimental validation demonstrated that BPA induces oxidative stress and cell cycle arrest, suppresses the INS-AKT1-BCL2 anti-apoptotic pathway, and activates the TP53-HSP90 pro-apoptotic pathway, culminating in mitochondrial apoptosis of astrocytes and disruption of neural microenvironment homeostasis. These findings reveal a convergent mechanism by which BPA accelerates neurodegeneration, filling a critical gap in understanding BPA's role in AD, PD, and HD. The study provides a novel theoretical framework and experimental evidence for BPA neurotoxicity risk assessment and informs preventive and therapeutic strategies for BPA-related neurodegenerative disorders.

Read Full Abstract10.7524/j.issn.0254-6108.2026030601

Mechanistic Insights into Methanol Steam Reforming on PdCu(111) and PtCu(111) Bimetallic Catalysts

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Journal of Fuel Chemistry and Technology2026

Mechanistic Insights into Methanol Steam Reforming on PdCu(111) and PtCu(111) Bimetallic Catalysts

Methanol steam reforming (MSR) is a pivotal process for efficient hydrogen production. This study employs density functional theory (DFT) calculations to comparatively analyze the MSR reaction mechanism on PdCu(111) and PtCu(111) bimetallic surfaces. The investigation unveils how alloying modulates reaction pathways and overall catalytic performance. Notably, Cu sites stabilize adsorption of OH and CH2O species, whereas Pd/Pt sites exhibit preferential affinity for CO. This spatial site separation facilitates progression along the formate pathway. PdCu(111) demonstrates superior overall catalytic performance compared to PtCu(111), with water dissociation identified as the rate-determining step (RDS), featuring an activation energy of only 0.74 eV. The bimetallic synergy breaks the inherent contradiction between activity and selectivity of monometallic catalysts: Cu sites serve as a source of hydroxyl groups, while Pd/Pt sites enhance C–H bond cleavage efficiency, ultimately enabling high methanol conversion alongside low CO formation. From the perspectives of electronic structure and geometric configuration, this study establishes a theoretical framework to guide rational design of high-performance bimetallic catalysts for MSR.

Read Full Abstract10.1016/S1872-5813(26)60752-9

Mechanism of Ce/La/Zr doping on the structure and anti-coking performance of Ni/MgO-MgAl2O4 catalyst

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Journal of Fuel Chemistry and Technology2026

Mechanism of Ce/La/Zr doping on the structure and anti-coking performance of Ni/MgO-MgAl2O4 catalyst

Dry reforming of methane (DRM) converts CH4 and CO2 into syngas, offering a route to mitigate greenhouse gases. Ni-based catalysts suffer from sintering and carbon deposition at high temperatures. This work employs MgO-MgAl2O4 composite supports to regulate Ni loading and introduces Ce, La, and Zr as promoters to investigate their effects on DRM activity, structural stability, and surface oxygen species. Optimal Ni loading of 12.5% yields highest CH4 and CO2 conversions. Promoter introduction slightly suppresses low-temperature activity but substantially modifies support local structure and metal-support interface, improving NiO dispersion and increasing surface oxygen vacancies and active oxygen species (Oβ). These changes enhance CO2 adsorption-activation and suppress carbon deposition. After 20 h DRM, Ce-promoted catalyst shows smallest Ni particle growth (6.23→8.07 nm) and lowest carbon deposition, demonstrating superior stability and anti-coking capability. The study elucidates how Ce, La, and Zr enhance sintering and coking resistance via interfacial electronic modulation and improved oxygen storage/release, guiding rational design of stable Ni-based DRM catalysts.

Read Full Abstract10.1016/S1872-5813(26)60672-X

A dataset for CO2 cycloaddition with ethylene oxide over metal oxide catalysts

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Journal of Fuel Chemistry and Technology2026

A dataset for CO2 cycloaddition with ethylene oxide over metal oxide catalysts

Metal oxide catalysts have emerged as promising materials for CO2 cycloaddition reactions due to their tunable composition, facile separation, reusability, and low cost. However, systematic investigations remain limited, and a comprehensive understanding of reaction mechanisms is hindered by the lack of extensive, well-curated datasets. This study establishes a systematic dataset of 102 metal oxide catalysts, including layered double hydroxide (LDH) and ZnO, with variations in metal dopant type and ratio, defect characteristics, and crystal plane orientation. Using high-throughput first-principles calculations, we generated a multi-dimensional dataset containing elementary reaction energies, vibrational frequencies, Bader charges, and density of states. A rigorous two-tiered quality control protocol ensures data integrity. The dataset reveals structure-performance relationships linking catalyst structural features to electronic descriptors (e.g., Bader charge transfer, p-band centers of O atoms, d-band centers of metal atoms) and catalytic activity. This work provides a reliable foundation for exploring catalytic performance and reaction mechanisms, and demonstrates how high-throughput calculations can generate domain-specific, mechanistically explicit data. Future efforts will focus on developing feature extraction code for seamless integration with machine learning frameworks, and the dataset will be continuously enriched through experimental validation and remain openly accessible.

Read Full Abstract10.1016/S1872-5813(26)60743-8

Reaction Network Database for Fast Pyrolysis of Vanillyl Alcohol Based on Molecular Wavefunction Descriptors

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Journal of Fuel Chemistry and Technology2026

Reaction Network Database for Fast Pyrolysis of Vanillyl Alcohol Based on Molecular Wavefunction Descriptors

Lignin pyrolysis is a promising route for sustainable production of high-value phenolic chemicals, yet the intricate radical reaction network remains a major bottleneck to optimizing product selectivity. This work constructs a standardized DFT computational database that systematically describes the fast pyrolysis of vanillyl alcohol at 823.15 K. The database features three key components: primary reaction pathways, thermodynamic energy barriers, and atomic-level electronic fingerprints. The dataset covers primary reaction pathways, secondary rearrangements, and both global and local reactivity indices of key intermediates. Notably, it innovatively integrates electronic-structure fingerprints, filling the gap in reaction-network–electronic-property correlation data. Standardized computational workflows and rigorous quality control ensure accuracy, consistency, and reproducibility. The public release of this dataset provides a reliable theoretical benchmark for mechanistic studies of lignin pyrolysis and offers foundational data support for rational design of new catalysts and refinement of reaction kinetic models. Ultimately, this database not only provides an important reference for data-driven catalyst development but also lays a theoretical foundation for precise regulation of lignin depolymerization.

Read Full Abstract10.1016/S1872-5813(26)60710-4

Effect of Mn doping on the structure and oxidative desulfurization properties of Co-V-O binary metal oxides

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Journal of Fuel Chemistry and Technology2026

Effect of Mn doping on the structure and oxidative desulfurization properties of Co-V-O binary metal oxides

Sulfur dioxide emitted from combustion of sulfur-containing aromatic compounds in fuels is a major contributor to atmospheric pollution. Oxidative desulfurization (ODS) has become a crucial complement to hydrodesulfurization (HDS) due to its mild reaction conditions and high efficiency in removing refractory aromatic sulfides. Metal doping is an effective strategy to modulate the electronic structure of catalysts and enhance catalytic performance. In this study, Mn-doped Co-V-O metal oxide (Mn-Co-V-O) was synthesized via a reflux method followed by high-temperature calcination. The structure, morphology, and surface chemical composition were characterized by FT-IR, XRD, SEM, XPS, and UV-vis DRS. The ODS performance toward dibenzothiophene (DBT) was evaluated using molecular oxygen as a green oxidant. Results indicated that Mn doping significantly enhanced the ODS activity compared to undoped Co-V-O. Under optimized conditions (110 °C, 0.03 g catalyst, 150 mL/min O2 flow, 20 mL model oil), a direct DBT removal rate of 81.6% was achieved. When combined with extraction, the desulfurization rate increased to 98.0%. Mechanistic studies revealed that Mn doping increased the surface oxygen vacancy concentration, facilitating oxygen activation to generate superoxide radicals (·O2−). Radical trapping experiments confirmed that ·O2− was the key active species responsible for selective oxidation of DBT to DBTO2. This study provides a reference for designing efficient metal oxide catalysts for deep oxidative desulfurization.

Read Full Abstract10.1016/S1872-5813(26)60658-5

Effect of Phosphorus and Transition Metal-Modified ZSM-5 on Catalytic Pyrolysis of C7 Hydrocarbons with Different Structures

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Journal of Fuel Chemistry and Technology2026

Effect of Phosphorus and Transition Metal-Modified ZSM-5 on Catalytic Pyrolysis of C7 Hydrocarbons with Different Structures

Phosphorus and transition metal-modified ZSM-5 zeolites were prepared via incipient wetness impregnation and characterized by XRD, N2 adsorption-desorption, and pyridine-IR spectroscopy. The effects of modified zeolites on catalytic pyrolysis of n-heptane, 3-methylhexane, and methylcyclohexane were systematically investigated, revealing the structure-activity relationship between acid properties and catalytic performance. Results indicate that phosphorus and transition metal modification can regulate the L/B acid ratio of ZSM-5, which significantly influences product distribution. An excessively high L/B acid ratio promotes hydrogen and coke formation, leading to pore blockage and reduced conversion, whereas an appropriate L/B acid ratio facilitates mild dehydrogenation, enhancing ethylene and propylene yields. Reactant conversion followed the order: n-heptane > 3-methylhexane > methylcyclohexane. Efficient conversion of 3-methylhexane and methylcyclohexane requires catalysts with high L acid amount, strong Brønsted acid amount, optimized L/B acid ratio, as well as high specific surface area and micropore specific surface area. This study provides critical insights for designing high-efficiency alkane pyrolysis catalysts.

Read Full Abstract10.3724/2097-213X.2026.JFCT.0003

Binder-Mediated Regulation of Coating Structure over Monolithic Catalyst and Its Performance in CH4-CO2 Reforming

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Journal of Fuel Chemistry and Technology2026

Binder-Mediated Regulation of Coating Structure over Monolithic Catalyst and Its Performance in CH4-CO2 Reforming

The CO2 dry reforming of methane (DRM) is pivotal for CO2 utilization within the dual-carbon framework, offering advantages in carbon reduction and value-added chemical production. However, shaped catalysts suitable for industrial-scale DRM remain limited. This work constructs a monolithic catalyst using honeycomb cordierite as the structural support, systematically investigating the effects of organic and inorganic binders on coating structure and catalytic performance. Comparative studies reveal that the active coating fabricated with inorganic aluminum sol exhibits a continuous uniform morphology and excellent adhesion strength. During high-temperature calcination, elemental diffusion within Al2O3 networks bridges the cordierite surface with active catalyst particles, forming a (Ni-Mg)AlxO4 composite structure. This creates robust metal-support interactions between active sites and the residual alumina matrix. The interconnected mesoporous framework provides superior pore confinement, contributing to strong coating adhesion, enhanced activity, and improved resistance to carbon deposition in the monolithic m-NCM-Al-sol catalyst. In contrast, coatings derived from inorganic silica sol suffer from detachment and activity loss due to heterogeneous surface structures and poor adhesion. Organic binders demonstrate inferior performance in macroscopic coating uniformity, adhesion strength, mesoporous confinement, and localized electronic effects, resulting in the poorest catalytic performance. By optimizing aluminum sol coating parameters—binder content, active component dosage, and coating cycles—a synergistic balance between coating thickness and mass transfer is achieved. The optimized catalyst demonstrates excellent DRM performance, providing insights for constructing high-performance shaped catalysts with cordierite coatings.

Read Full Abstract10.1016/S1872-5813(26)60762-1

A Comprehensive Database for Ethane Dehydrogenation over Heteroatom-Doped Graphene-Supported Single-Atom Catalysts

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Journal of Fuel Chemistry and Technology2026

A Comprehensive Database for Ethane Dehydrogenation over Heteroatom-Doped Graphene-Supported Single-Atom Catalysts

Single-atom catalysts (SACs) exhibit near-100% atomic utilization, precisely tunable active sites, and superior catalytic performance, making them promising for ethane dehydrogenation (EDH). The nature of active metals, support properties, and coordination environments critically influence EDH performance. Graphene, with its excellent thermal stability and tunable coordination structure, serves as an ideal support. However, systematic understanding is lacking due to fragmented data. This work constructs a comprehensive database of heteroatom-doped graphene-supported SACs, encompassing five representative metal single atoms and 51 distinct coordination environments grouped into six major categories. High-throughput first-principles calculations yield multi-dimensional data including elementary reaction energies, vibrational frequencies, density of states, and Bader charges. A rigorous quality control system ensures reliability at both parameter-setting and computational result levels. The database provides complete raw calculation files, enabling in-depth analysis of catalytic performance, structure-performance relationships, and reaction mechanisms. Electronic structure analyses (DOS and Bader charge) elucidate the physical mechanisms underlying performance differences, establishing a structure-performance relationship characterized by 'dopant type → electronic state of active metal center → catalytic activity'. This database supports rational catalyst design and data-driven research paradigms, with future plans for feature extraction code and experimental validation.

Read Full Abstract10.1016/S1872-5813(26)60688-3

Na Promoter Synergistic Tuning Co-Fe Alloy-Carbide Dual Sites: Directing Syngas Conversion to C2+ Alcohols

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Journal of Fuel Chemistry and Technology2026

Na Promoter Synergistic Tuning Co-Fe Alloy-Carbide Dual Sites: Directing Syngas Conversion to C2+ Alcohols

Direct conversion of syngas to higher alcohols (C2+ alcohols) is critical for coal-based resource utilization and energy security. Here, a series of Na-modified CoFe/Al2O3 catalysts were synthesized via incipient wetness impregnation and evaluated for syngas-to-alcohol reactions. Multiple characterizations (XRD, N2 adsorption-desorption, H2-TPR, XPS, DRIFTS, in situ Raman, Mössbauer spectroscopy) elucidated synergistic effects of Na and Fe promoters. Na facilitated formation of Co-Fe alloy sites during reaction, while Fe modified electronic state of Co and promoted transformation of lattice oxygen to adsorbed oxygen, increasing surface oxygen vacancies. Synergistic interaction between alloy and carbide sites enhanced CO insertion into olefin intermediates, improving C2+ alcohol selectivity. Under 260 °C and 2 MPa, Co1Fe1Na1 catalyst (n(Co):n(Fe):n(Na)=1:1:1) achieved total alcohol selectivity of 45%, with C2+ alcohols comprising 94.1% of total alcohols. This study provides insights into rational design of Co-based catalysts for efficient syngas conversion to C2+ alcohols.

Read Full Abstract10.1016/S1872-5813(26)60670-6

Association between prenatal exposure to neonicotinoid insecticides and three oxidative stress biomarkers in pregnant women: A case study of the Jiashan cohort

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Environmental Chemistry2026

Association between prenatal exposure to neonicotinoid insecticides and three oxidative stress biomarkers in pregnant women: A case study of the Jiashan cohort

Neonicotinoid insecticides (NEOs) are widely used pesticides with residues entering the human body via multiple routes, posing potential health risks. Pregnant women are a sensitive population requiring investigation into NEO exposure effects. Based on the Jiashan Birth Cohort, this study measured 12 NEOs (9 parent compounds and 3 metabolites) and three oxidative stress biomarkers (8-iso-prostaglandin F2α, 8-iso-15(R)-prostaglandin F2α, and 8-hydroxy-deoxyguanosine) in urine from 917 pregnant women using liquid chromatography-triple quadrupole mass spectrometry. Demographic data were integrated to analyze exposure patterns and associations. Results showed at least one NEO detected in all samples; seven NEOs had detection rates >50%. Median creatinine-adjusted total concentration was 5.613 μg·g−1. Acetamiprid-N-desmethyl (N-dm-ACE) had the highest detection rate (98.59%) and largest concentration proportion (64.2%). Spearman correlation, multiple linear regression, and Bayesian kernel machine regression revealed positive associations between oxidative stress markers and NEO exposure. Specifically, 8-PGF and 15-PGF correlated positively with thiacloprid-amide (THI-amid) and dinotefuran (DIN); 8-OHdG correlated positively with thiamethoxam (THM) and sulfoxaflor (SFX). Health risk assessment indicated hazard quotients below 1 for all NEOs, suggesting low health risks. This study provides evidence linking NEO exposure to oxidative stress damage in pregnant women, informing risk assessment for sensitive populations.

Read Full Abstract10.7524/j.issn.0254-6108.2026021203

Collection, Processing, and Sharing of a Dataset for the Selective Hydrogenation of Benzene to Cyclohexene

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Journal of Fuel Chemistry and Technology2026

Collection, Processing, and Sharing of a Dataset for the Selective Hydrogenation of Benzene to Cyclohexene

Cyclohexene is a crucial raw material for nylon production, and the selective hydrogenation of benzene is a key route for its preparation. To promote data sharing and reuse in this field, we collected and standardized experimental data on the hydrogenation of benzene to cyclohexene from publicly available literature, constructing a comprehensive dataset containing catalyst composition, reaction conditions, and reaction results (conversion, selectivity, and yield). This data descriptor details the source, field definitions, generation and processing workflow, quality control, sharing approach, and usage recommendations of the dataset, aiming to provide a reusable data foundation for subsequent statistical analysis, machine learning modeling, experimental design, and catalyst screening. The dataset is provided in Excel format and is accessible via GitHub and ScienceDB. It addresses the lack of unified field definitions, unit systems, and organizational formats in scattered literature data, enabling direct statistical analysis, correlation mining, and predictive modeling. The dataset is expected to accelerate research in optimizing ruthenium-based catalytic systems for selective benzene hydrogenation, which currently suffer from limited cyclohexene yield despite the use of aqueous-phase systems and inorganic salt additives. By offering a quality-controlled, structured dataset, this work supports data-driven approaches to overcome the thermodynamic favorability of complete hydrogenation to cyclohexane and to improve process economics.

Read Full Abstract10.1016/S1872-5813(26)60748-7

A Dataset of Conducting Polymers Synthesized by Electropolymerization for Electrochemical Energy Storage in Aqueous Electrolytes

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Journal of Fuel Chemistry and Technology2026

A Dataset of Conducting Polymers Synthesized by Electropolymerization for Electrochemical Energy Storage in Aqueous Electrolytes

Conducting polymers are promising electrode materials for aqueous ion batteries and supercapacitors due to their high conductivity, environmental friendliness, and flexibility. Electropolymerization enables controlled deposition of these polymers onto conductive substrates, tuning loading, morphology, and structure. This dataset systematically compares the electrochemical energy storage performance of conducting polymers derived from monomers including 1,10-phenanthroline, 5-amino-2-naphthalenesulfonic acid, o-aminophenol, 1,5-diaminonapthalene, s-triazine, and aromatic molecules with multiple carbonyl and imino groups. Aqueous electrolytes investigated include sulfuric acid, zinc sulfate, ammonium sulfate, potassium hydroxide, and zinc trifluoromethanesulfonate solutions. Galvanostatic charge-discharge at various mass-normalized current densities was employed to evaluate specific capacities. The dataset comprises 266 MB across 490 files, providing key parameters such as specific capacity, rate capability, and cycling stability. Analysis of this data enables inference on the influence of polymer structure and electrolyte composition on charge storage. This resource serves as a reference for the rational design of high-performance conducting polymer electrodes for aqueous energy storage devices.

Read Full Abstract10.1016/S1872-5813(26)60674-3

A dataset for electrocatalytic hydrogen evolution reaction performance of non-noble transition metal phosphides

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Journal of Fuel Chemistry and Technology2026

A dataset for electrocatalytic hydrogen evolution reaction performance of non-noble transition metal phosphides

This dataset compiles the hydrogen evolution reaction (HER) performance data of 203 non-noble transition metal phosphide (TMP) catalysts, covering detailed information on catalyst preparation (e.g., phosphating temperature, precursor, synthesis method), chemical composition (mass fractions of elements such as Ni, Co, Fe, P, Mo, W and Zn), and testing conditions (e.g., electrolyte type and concentration, electrode substrate). The key parameters for catalytic performance include the overpotential at 10 mA/cm2 (η10) and the Tafel slope. This dataset has been rigorously extracted, cleaned, and standardized to ensure a high degree of structure and machine readability. This provides a reliable data foundation for data-driven methods, such as machine learning and statistical modeling, enabling rapid screening and design of high-performance HER catalysts, supporting performance prediction, in-depth structure-activity analysis and the rational development of novel catalysts.

Read Full Abstract10.1016/S1872-5813(26)60693-7

Comparative Effectiveness and Mechanism of Antibiotic Degradation by B/N-Doped Biochar-Supported Fe3S4 Activating Peroxydisulfate

Graphical AbstractVerified

Environmental Chemistry2026

Comparative Effectiveness and Mechanism of Antibiotic Degradation by B/N-Doped Biochar-Supported Fe3S4 Activating Peroxydisulfate

Rice husk biochar (BC) was modified with boron (B) and nitrogen (N) doping and loaded with Fe3S4 to fabricate B-BC@Fe3S4 and N-BC@Fe3S4 catalysts for peroxydisulfate (PDS) activation and enrofloxacin (ENR) degradation. Characterization via SEM, BET, XRD, Raman, and XPS confirmed successful heteroatom incorporation and uniform Fe3S4 dispersion, enhancing specific surface area and defect sites. Degradation experiments showed that B-BC@Fe3S4 and N-BC@Fe3S4 achieved ENR removal efficiencies of 90.72% and 91.89%, respectively, significantly outperforming unmodified BC@Fe3S4 (82.21%). Mechanistic studies revealed that PDS activation proceeded via Fe3S4-mediated electron transfer generating radical species (SO4•−, •OH, O2•−) and via B/N functional groups promoting non-radical singlet oxygen (1O2) formation. Notably, N-BC@Fe3S4 exhibited superior resistance to Fe3+ leaching and greater environmental adaptability under varying pH, anion, and humic acid conditions. These findings demonstrate that B/N-doped biochar-supported Fe3S4 are effective catalysts for PDS activation, offering promising potential for antibiotic removal from real wastewater matrices.

Read Full Abstract10.7524/j.issn.0254-6108.2025042502

Recent Advances on Synergistic Catalytic Removal of Chlorinated Volatile Organic Pollutants and NOx

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Environmental Chemistry2026

Recent Advances on Synergistic Catalytic Removal of Chlorinated Volatile Organic Pollutants and NOx

Chlorinated volatile organic compounds (CVOCs) are typical halogenated organic pollutants frequently coexisting with nitrogen oxides (NOx) in flue gases from thermal industrial processes such as waste incineration and metal smelting. The synergistic catalytic removal of these co-pollutants offers substantial environmental benefits and engineering potential. This review focuses on the regulation of catalyst acidity and redox properties, systematically summarizing the synergistic mechanisms between CVOCs catalytic oxidation and NH3-selective catalytic reduction (NH3-SCR) for NOx removal. Special attention is given to reaction pathways governing chlorine species desorption and intermediate mineralization during CVOCs oxidation, alongside intrinsic strategies for broadening the SCR temperature window, enhancing N2 selectivity, and mitigating catalyst deactivation. Key challenges in simultaneous removal include competitive adsorption of coexisting pollutants, chlorine poisoning of catalysts, formation of polychlorinated byproducts, and interference from other flue gas components. Future research directions are proposed, encompassing interfacial mechanistic elucidation, innovative design of multifunctional catalytic sites, and technological transition from laboratory-scale studies to industrial applications. This review provides theoretical insights and technical guidance for integrated control of multiple pollutants.

Read Full Abstract10.7524/j.issn.0254-6108.2025041101

Research Progress on Degradation of Pollutants in Water by High-Entropy Alloy Catalytic Materials

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Environmental Chemistry2026

Research Progress on Degradation of Pollutants in Water by High-Entropy Alloy Catalytic Materials

High-entropy alloys (HEAs) have emerged as promising catalytic materials for organic wastewater treatment owing to their unique catalytic activity, structural stability, and corrosion resistance. This review systematically elaborates the physicochemical properties of HEAs and their multi-path degradation mechanisms, with emphasis on Fenton reactions, photocatalysis, and tribocatalysis. The influence of mainstream preparation techniques—mechanical alloying, arc melting, gas atomization, and impregnation adsorption—on catalytic performance is critically compared. To overcome practical bottlenecks such as low powder recovery and rapid active-site deactivation, synergistic optimization strategies including metal doping, morphological modification, and composite engineering are proposed. The review identifies key challenges in enhancing degradation efficiency, scaling up production, and designing composite materials, and outlines future research directions for HEAs in wastewater treatment. This work provides a theoretical foundation for developing efficient and stable HEA-based environmental catalysts.

Read Full Abstract10.7524/j.issn.0254-6108.2025041409

Effects of Four Synthetic Phenolic Antioxidants on Adipogenic Differentiation and Potential Mechanisms

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Environmental Chemistry2026

Effects of Four Synthetic Phenolic Antioxidants on Adipogenic Differentiation and Potential Mechanisms

Synthetic phenolic antioxidants (SPAs) are widely used, leading to environmental contamination and human exposure. However, studies on their effects on adipocyte differentiation and underlying mechanisms, particularly for emerging SPAs, are limited. This study evaluated the impacts of 4-tert-octylphenol (4-t-OP) and three novel antioxidants (AO 3114, AO 1135, AO 702) on adipogenesis using the mouse 3T3-L1 preadipocyte differentiation model. Lipid staining, triglyceride measurement, differentiation-related gene expression analysis, and transcriptomic approaches were employed. All four SPAs significantly promoted differentiation of 3T3-L1 cells into mature adipocytes and upregulated expression of peroxisome proliferator-activated receptor gamma (Pparγ) and mature adipocyte marker genes. Transcriptomic analysis revealed differential effects on gene transcription during early differentiation. GO and KEGG enrichment analyses indicated that these SPAs promoted adipogenesis by enhancing energy metabolism and protein synthesis, as well as regulating PPAR and other signaling pathways. In conclusion, the tested SPAs promote adipogenesis and disrupt lipid metabolism through distinct mechanisms, suggesting long-term exposure may cause metabolic disorder risks and pose a public health threat.

Read Full Abstract10.7524/j.issn.0254-6108.2026012605

Advances in Liquid Chromatography-Mass Spectrometry Analysis of Non-Fentanyl Opioids in Biological Samples

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Environmental Chemistry2026

Advances in Liquid Chromatography-Mass Spectrometry Analysis of Non-Fentanyl Opioids in Biological Samples

Non-fentanyl opioids, a subclass of new synthetic opioids (NSOs), have emerged as the fastest-growing category of new psychoactive substances (NPS) globally, driven by regulatory tightening on fentanyl analogs. Their structural diversity, rapid in vivo metabolism, and multiple metabolic pathways complicate detection in biological matrices, posing significant challenges for forensic toxicology and environmental monitoring. Liquid chromatography-mass spectrometry (LC-MS) remains the gold standard for trace-level quantification due to its high sensitivity, specificity, and accuracy. This review systematically examines the classification, toxicological profiles, and metabolic routes of non-fentanyl opioids, including AH-7921, MT-45, U-47700, brorphine, and nitazenes. It critically evaluates sample preparation techniques—solid-phase extraction (SPE), liquid-liquid extraction (LLE), and protein precipitation (PPT)—highlighting their efficiency, recovery rates, and matrix effects. Furthermore, it synthesizes recent advances in LC-MS methodologies, including high-resolution mass spectrometry (HRMS) and tandem mass spectrometry (MS/MS), with emphasis on multiplex detection capabilities, limits of detection (LODs) reaching sub-ng/mL levels, and validation parameters. The review underscores the necessity for continuous analytical innovation to keep pace with emerging NSOs and provides a technical framework for accurate identification in forensic and environmental contexts.

Read Full Abstract10.7524/j.issn.0254-6108.2025041904

Preparation of Biochar-Supported Zero-Valent Iron/Iron Carbide Composites and Their Application in TCPA Removal

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Environmental Chemistry2026

Preparation of Biochar-Supported Zero-Valent Iron/Iron Carbide Composites and Their Application in TCPA Removal

Chloropyridine compounds, widely used as pesticide intermediates in China, pose significant risks to aquatic ecosystems and human health due to their high toxicity, persistence, and frequent detection in water bodies. This study addresses the removal of 3,4,5,6-tetrachloropyridine-2-carboxylic acid (TCPA), a representative chloropyridine contaminant, using a novel composite material. Biochar-supported zero-valent iron/iron carbide composites (SL-FeC2O4-800 °C) were synthesized via a high-temperature carbothermal process, employing activated sludge as the carbon source and ferrous oxalate (FeC2O4) as the iron precursor. The composite exhibited rapid and efficient TCPA degradation across a wide pH range (3–9), achieving 98% removal within 2 minutes. Mechanistic studies using scavenging experiments revealed that TCPA removal proceeds through synergistic pathways: adsorption onto biochar, direct reduction by zero-valent iron, and oxidation by reactive oxygen species (ROS) generated via oxygen activation. Surface-bound iron species were identified as critical for ROS formation. The material demonstrated reusability over five cycles, with degradation efficiencies decreasing from 98.54% to 40.36%, indicating gradual deactivation due to iron consumption and surface passivation. This work not only provides an efficient and environmentally sustainable method for removing persistent and highly toxic pollutants like TCPA but also offers a novel strategy for sludge resource utilization. The low-cost raw materials, simple preparation, and high activity position this composite as a promising candidate for industrial wastewater treatment, particularly in pesticide manufacturing effluents.

Read Full Abstract10.7524/j.issn.0254-6108.2025042101

Vertical Distribution and Emission Characteristics of Per- and Polyfluoroalkyl Substances in a Municipal Solid Waste Landfill

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Environmental Chemistry2026

Vertical Distribution and Emission Characteristics of Per- and Polyfluoroalkyl Substances in a Municipal Solid Waste Landfill

This study systematically investigated the occurrence and vertical distribution of per- and polyfluoroalkyl substances (PFAS) in solid waste, leachate, and surrounding groundwater at a municipal solid waste landfill in Fuyang City, Anhui Province, China. A total of 23 PFAS were detected in solid waste, with total concentrations (∑PFAS) ranging from 7.95 to 172.28 ng·g⁻¹. Trifluoroacetic acid (TFA), an ultrashort-chain PFAS, was ubiquitous, contributing on average 59% to the total PFAS mass. PFAS composition varied with depth: long-chain PFAS dominated in middle and upper layers, while short-chain and ultrashort-chain PFAS were more abundant in deeper layers, indicating enhanced downward migration of shorter-chain compounds. Sulfonic acid PFAS exhibited increasing relative abundance with depth. Leachate ∑PFAS concentration was 14.35 μg·L⁻¹, dominated by short-chain compounds such as PFPrS and PFBS, consistent with the composition in bottom-layer waste. Groundwater surrounding the landfill contained multiple PFAS, with concentrations decreasing with distance from the landfill, confirming the landfill as a source of PFAS to the surrounding environment. Multivariate analyses (PCoA and Bray–Curtis dissimilarity) revealed that some groundwater samples closely resembled leachate in PFAS composition, suggesting direct impact via leachate migration. These findings underscore the role of landfills as significant reservoirs and sources of PFAS, particularly ultrashort-chain compounds, and highlight the need for improved leachate management to mitigate groundwater contamination.

Read Full Abstract10.7524/j.issn.0254-6108.2026022702

Spatial Distribution Similarities and Differences of Atmospheric PM2.5 Chemical Components in Typical Cities of Central and Southern China

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Environmental Chemistry2026

Spatial Distribution Similarities and Differences of Atmospheric PM2.5 Chemical Components in Typical Cities of Central and Southern China

To characterize the spatial variability of PM2.5 chemical components at the urban scale, ambient PM2.5 samples were collected from eight sites across Changsha, China. Samples were analyzed using ion chromatography, elemental carbon/organic carbon (EC/OC) analysis, and X-ray fluorescence (XRF) spectroscopy. Results showed that PM2.5 concentrations in urban areas were significantly higher than in suburban locations, with notably elevated levels at Changsha New Railway Station and Mapoling. Across different PM2.5 pollution levels, the eight sites exhibited pronounced spatial differences in concentration while sharing similar chemical compositions. Source apportionment identified secondary nitrate, vehicle emissions, and secondary sulfate as major contributors to PM2.5. The spatial distribution of these sources varied distinctly: secondary nitrate showed lower contributions in central areas but higher in western and southeastern regions; secondary sulfate was more prominent in the southeast, while vehicle emissions contributed more in the southeast and less in the west. Additionally, aerosol liquid water content promoted the secondary formation of nitrate and sulfate, exacerbating PM2.5 pollution. Secondary organic carbon was elevated in areas with high pedestrian density, suggesting enhanced secondary organic aerosol formation under intensive human activity. The study provides insights for targeted pollution control strategies in Changsha and similar cities.

Read Full Abstract10.7524/j.issn.0254-6108.2025042304