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Showing 24 of 1398 peer-reviewed translated articles (Page 48 of 59)

Nutrient Release Characteristics of Aquaculture Sludge through Anaerobic Acidification in an Aquaponics SystemGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Nutrient Release Characteristics of Aquaculture Sludge through Anaerobic Acidification in an Aquaponics System

Aquaponics systems integrate aquaculture and hydroponics to recycle resources, yet nutrient recovery from aquaculture sludge remains inefficient. This study investigated anaerobic acidification as an alternative to conventional anaerobic digestion, which suffers from long conversion cycles. Batch experiments compared two sludge loading rates: high (13.22 kg·kg−1) and low (4.61 kg·kg−1) (mass of sludge per mass of anaerobic inoculum). Under low loading, soluble chemical oxygen demand (SCOD) exhibited a single peak, reaching a maximum organic solid conversion of 68.2% at 70.5 h. In contrast, high loading produced three SCOD peaks with an average peak conversion efficiency of only 26.9% at 27.5 h and higher residual concentrations. Ammonia nitrogen conversion was slightly higher under low loading (64.8%) than high loading (62.2%), while orthophosphate conversion was markedly superior (95.7% vs. 76.4%). The optimal hydraulic retention time for low-loading operation was 144 h, corresponding to an organic loading rate of 0.77 kg·(kg·d)−1. Under these conditions, the produced ammonia and phosphate can be effectively recovered without adversely affecting water quality, as the biofilter converts ammonia to nitrate for plant uptake. Microbial analysis revealed that low-loading conditions favored the dominance of Acinetobacter (relative abundance 66.6%), which likely enhances organic degradation and nutrient release. These findings demonstrate that anaerobic acidification under low loading is a promising strategy for efficient nutrient recovery in aquaponics, offering a shorter conversion time and higher nutrient yields than traditional methods.

Read Full Abstract10.12030/j.cjee.202511027
Removal of Nitrate from Livestock Wastewater Using Composite Carbon Sources of Corncob and PolycaprolactoneGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Removal of Nitrate from Livestock Wastewater Using Composite Carbon Sources of Corncob and Polycaprolactone

Carbon source is a critical factor driving heterotrophic denitrification, yet the low carbon-to-nitrogen ratio (C/N) of livestock wastewater limits this process. This study developed novel composite carbon sources by combining corncob (CC) and polycaprolactone (PCL). Static carbon release and denitrification experiments were conducted to evaluate carbon release patterns and nitrogen removal performance. Results showed that the carbon release index (n) was below 0.45, indicating Fickian diffusion as the dominant release mechanism. The composite carbon source prepared at a CC:PCL mass ratio of 3:2 (denoted YP4) achieved a nitrate nitrogen removal efficiency of 94.76%, with effluent ammonia nitrogen meeting the discharge limits of GB 18596-2001. High-throughput sequencing revealed that YP4 increased the relative abundance of genera capable of denitrification and biopolymer degradation (e.g., Aeromonas, Novosphingobium, Bacteroides, and Clostridium sensu stricto), thereby enhancing heterotrophic denitrification and nitrogen removal. These findings provide a novel approach for selecting and preparing external carbon sources for biological heterotrophic denitrification of low C/N wastewater.

Read Full Abstract10.12030/j.cjee.202510071
Application of Microporous Bio-Gravel for Microecological Remediation of Degraded Mine SoilsGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Application of Microporous Bio-Gravel for Microecological Remediation of Degraded Mine Soils

Mining activities cause severe soil degradation and microbial diversity loss, impeding ecological restoration. This study evaluated the effects of a novel soil amendment, microporous bio-gravel (MBG), on bacterial and fungal community structure and function in degraded soil from the Baiyinhua open-pit mine, Inner Mongolia. A pot experiment with four MBG-to-soil volume ratios (CK, L=1:3, M=1:2, H=1:1) was conducted, with a simplified plant community and uniform fertilization. After 180 days, soil samples were analyzed via high-throughput sequencing and bioinformatics. Results showed that the medium ratio (M) significantly increased fungal Shannon index and evenness, while the high ratio (H) negatively affected bacterial communities. At phylum and genus levels, MBG promoted enrichment of Cyanobacteria and specific functional groups (e.g., nitrogen-fixing bacteria, Bacillus). Co-occurrence network analysis revealed peak complexity, modularity, and average degree in bacterial and fungal networks under the M treatment. Functional prediction indicated significant enrichment of pathways related to lipopolysaccharide biosynthesis, nitrotoluene degradation, and plant-pathogen interactions, alongside increased abundance of saprotrophic and ectomycorrhizal fungi. Mantel and VPA analyses showed that MBG indirectly regulated microbial community structure by improving soil physicochemical properties and plant traits, with stronger effects on fungi than bacteria. In conclusion, MBG optimizes the soil microhabitat and plant-soil-microbe interactions, modulating microbial diversity, network complexity, and functional potential. The medium ratio (1:2) was most effective, demonstrating potential for ecological restoration of degraded mine soils.

Read Full Abstract10.12030/j.cjee.202512014
Carbon Emission Accounting and Reduction Pathways for a Municipal Wastewater Treatment Plant in LanzhouGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Carbon Emission Accounting and Reduction Pathways for a Municipal Wastewater Treatment Plant in Lanzhou

Under the national carbon peak and carbon neutrality goals, carbon reduction in municipal wastewater treatment plants (WWTPs) has been largely overlooked, yet accurate accounting is the first step toward mitigation. This study establishes a carbon emission accounting method for a municipal WWTP in Lanzhou, covering the operation and maintenance phase, to identify key emission sources and propose feasible reduction pathways. The results show that the total annual carbon emission in 2023 was 61,399.80 t CO2-eq, with an emission intensity of 0.71 kg CO2-eq per tonne of wastewater treated. Monthly emissions were relatively stable, with a coefficient of variation of 3.46%. Direct emissions accounted for 47.47% of the total, with N2O being the dominant contributor (61.89% of direct emissions), followed by CO2 (30.88%) and CH4 (7.23%). Indirect emissions accounted for 52.53%, dominated by electricity consumption (95.15% of indirect emissions). Pearson correlation analysis revealed that direct carbon emissions per tonne were significantly correlated with influent BOD5 concentration, influent TN concentration, BOD5 removal rate, and TN removal rate (P < 0.01). Sensitivity analysis identified sewer retention time, fossil carbon fraction in influent, and solids retention time as the most influential parameters, with sensitivity coefficients of 0.42, 0.35, and 0.28, respectively. Considering uncertainties in emission factors and monitoring errors, the 95% confidence interval for annual total emissions was 55,200–67,600 t CO2-eq, corresponding to an emission intensity of 0.64–0.79 kg CO2-eq per tonne. Recommendations focus on three synergistic reduction strategies: reducing source emissions, lowering energy consumption, and enhancing carbon compensation.

Read Full Abstract10.12030/j.cjee.202511025
Intensity-Based Carbon Reduction Benefits of 'Zero-Waste City' Construction: A Case Study of MianyangGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Intensity-Based Carbon Reduction Benefits of 'Zero-Waste City' Construction: A Case Study of Mianyang

The 'Zero-Waste City' initiative, centered on source reduction, resource utilization, and safe disposal of solid waste, aims to minimize environmental impact. To quantitatively assess its carbon reduction contribution, this study took Mianyang as a case, systematically collecting data on solid waste generation, utilization, and disposal across industrial, agricultural, and other sectors from 2021 to 2024. Employing an improved WARM model and emission factor method, and incorporating generation, utilization, and disposal intensities, the carbon reduction benefits before (2021–2022) and after (2023–2024) the initiative were evaluated. Results show that despite significant improvements in comprehensive utilization and safe disposal rates, total solid waste generation increased, leading to a net negative carbon effect of -127.6×10^4 tCO2eq based on absolute quantities. However, after stripping economic and population growth factors, intensity-based accounting revealed a cumulative reduction of 10.8×10^4 tCO2eq, demonstrating significant synergistic benefits. The industrial sector contributed the most, with a reduction of 40.2×10^4 tCO2eq, driven by green transformation and enhanced utilization capacity. Conversely, the rising intensity of domestic solid waste generation resulted in a negative benefit of -46.1×10^4 tCO2eq, highlighting a key area for future improvement. The study underscores the necessity of considering both intensity and absolute quantity dimensions in evaluating rapidly developing cities. These findings provide practical evidence and reference pathways for advancing 'Zero-Waste City' construction and synergistic pollution reduction and carbon mitigation under the 'dual carbon' goals.

Read Full Abstract10.12030/j.cjee.202509120
Synergistic Cadmium Immobilization in Paddy Soil by Klebsiella aerogenes Wn Combined with HydroxyapatiteGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Synergistic Cadmium Immobilization in Paddy Soil by Klebsiella aerogenes Wn Combined with Hydroxyapatite

Phosphate-solubilizing microorganisms (PSM) can immobilize cadmium (Cd) by dissolving insoluble phosphates and inducing the precipitation of stable Cd-phosphate minerals. However, the low bioavailability of soil phosphorus and the relatively low Cd2+ concentrations often limit the efficiency of microbial-induced phosphate precipitation (MIPP). This study proposed a combined strategy using the phosphate-solubilizing bacterium Klebsiella aerogenes Wn (Wn) and hydroxyapatite (HAP) to enhance Cd immobilization in paddy soil. Pot experiments were conducted to evaluate the effects on soil Cd availability and rice grain Cd accumulation, and the underlying mechanisms were investigated. Results showed that the combined treatment stabilized soil pH between 5.8 and 6.7 and electrical conductivity between 66 and 290 μS·cm−1, while increasing available phosphorus by 4%–67%. The optimal treatment (T4: 8 g·kg−1 HAP + 3.75×10^9 cfu·kg−1 Wn) reduced soil available Cd by 40.2% and decreased rice grain Cd to 0.0699 mg·kg−1, which is 65% below the national food safety limit. Microbial community analysis confirmed successful colonization of Wn. Pure culture experiments demonstrated that Wn induced phosphate precipitation, forming a more stable cadmium hydroxyapatite mineral [Ca3.9(Ca4.7Cd0.7)(PO4)6(OH)1.8]. The combined Wn-HAP treatment is an efficient strategy for remediating Cd-contaminated farmland, with significant potential for ensuring agricultural product safety and promoting soil remediation.

Read Full Abstract10.12030/j.cjee.202511021
S-scheme Bi6O5(OH)3(NO3)5·3H2O/BiOBr0.8I0.2 Heterojunction Photocatalyst: Synthesis and Visible-Light Degradation Mechanism of Rhodamine BGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

S-scheme Bi6O5(OH)3(NO3)5·3H2O/BiOBr0.8I0.2 Heterojunction Photocatalyst: Synthesis and Visible-Light Degradation Mechanism of Rhodamine B

A novel S-scheme heterojunction photocatalyst, Bi6O5(OH)3(NO3)5·3H2O/BiOBr0.8I0.2 (BON@BI), was synthesized via a one-step hydrothermal method using Bi6O5(OH)3(NO3)5·3H2O (BON), KBr, and KI as precursors. The mass ratio of BON to BiOBr0.8I0.2 (BI) was optimized, revealing that the 20% BON@BI composite (BON@BIOPT) exhibited the highest visible-light photocatalytic activity. Under 30 min of visible-light irradiation, BON@BIOPT achieved a 99.8% degradation efficiency of Rhodamine B (RhB), approximately twice that of pristine BI (52.2%). The composite displayed a rod-like morphology with uniform nanosheets, and its specific surface area increased from 32.54 m²·g⁻¹ (BI) to 44.7 m²·g⁻¹. The absorption edge red-shifted from 560 nm (BI) to 580 nm, narrowing the bandgap from 2.55 eV to 2.43 eV. The S-scheme heterojunction formed between BON and BI generates an internal electric field that effectively suppresses recombination of strongly reducing photogenerated electrons and strongly oxidizing holes, with superoxide radicals (O₂•⁻) and holes (h⁺) identified as the primary reactive species. BON@BIOPT exhibited excellent stability, retaining 88.6% degradation efficiency after seven consecutive cycles. It also demonstrated robust environmental adaptability, maintaining 85–98% degradation efficiency under various pH conditions and in the presence of interfering anions. The degradation pathway of RhB involves N-de-ethylation, cleavage of the conjugated chromophore, and deamination, ultimately mineralizing into low-molecular-weight organics, inorganic salts, CO₂, and H₂O. These results underscore the potential of BON@BIOPT for practical remediation of organic pollutants in water.

Read Full Abstract10.12030/j.cjee.202511054
Comparative Carbon Footprint of Ex-situ Remediation Facility and On-site Remediation Modes for Contaminated SoilGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Comparative Carbon Footprint of Ex-situ Remediation Facility and On-site Remediation Modes for Contaminated Soil

To evaluate the carbon footprint differences between the emerging ex-situ remediation facility mode and the conventional on-site remediation mode in China, this study employed the SEFA tool to calculate greenhouse gas (GHG) emissions and energy consumption for four typical remediation scenarios. Results indicate that the carbon emission intensity of solidification/stabilization (S/S) in the remediation facility is 12.00% higher than that of on-site S/S, with unit carbon intensities of 66.74 and 59.59 kgCO2e·m−3, respectively, and total energy consumption 11.90% higher. The soil transport segment in the facility S/S contributes 13% of carbon emissions, being the primary reason for its higher total carbon footprint. Conversely, thermal desorption (TD) in the facility exhibits 11.10% lower carbon emissions than on-site TD, with unit intensities of 269.16 and 302.78 kgCO2e·m−3, and total energy consumption 3.97% lower, mainly due to the utilization of landfill biogas as renewable energy for heat and power generation, while soil transport contributes only 3% of emissions. The reagent segment in S/S and the heat supply segment in TD account for 77%–86% and 70%–72% of total GHG emissions, respectively. The study demonstrates that remediation facilities, leveraging advantages such as landfill biogas, can actively aggregate contaminated soil from surrounding areas for centralized thermal desorption, which is beneficial for regional carbon emission reduction in soil remediation.

Read Full Abstract10.12030/j.cjee.202511046
Carbon Emission Analysis and Reduction Scenario Prediction of Municipal Solid Waste Based on LCA-SD ModelGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Carbon Emission Analysis and Reduction Scenario Prediction of Municipal Solid Waste Based on LCA-SD Model

Municipal solid waste (MSW) is a significant source of urban carbon emissions. This study integrates life cycle assessment (LCA) and system dynamics (SD) to construct a multi-subsystem LCA-SD model covering economy, population, waste generation, transportation, treatment, and resource utilization, using Fuzhou City as a case study. The model was validated against historical data and uncertainty analysis. Carbon emissions from MSW transportation, treatment, and resource utilization during 2013–2023 were calculated, and emission trends under seven reduction scenarios for 2024–2035 were predicted. Results show that Fuzhou's MSW treatment evolved through three stages: 'landfill+incineration', 'treatment structure adjustment', and 'incineration+kitchen waste resource utilization', corresponding to emission growth, fluctuation, and reduction periods. In 2023, total net carbon emissions were 1.07×10^6 t CO2-eq, with incineration being the largest contributor (9.93×10^5 t), followed by transportation (2.93×10^4 t), leachate treatment (2.14×10^4 t), and kitchen waste treatment (7.90×10^3 t, negative emission). Scenario analysis indicates that without further measures, carbon neutrality cannot be achieved. Synergistic enhancement of kitchen waste separation and incineration power generation efficiency can significantly boost reduction, potentially achieving carbon neutrality by 2032. The study provides a dynamic accounting and scenario assessment framework for low-carbon transition of urban solid waste systems.

Read Full Abstract10.12030/j.cjee.202510017
SinoGreenTech ResearchChinese Journal of Environmental Engineering
Chinese Journal of Environmental Engineering2026

RuO2 Nanorods for Electrochemical Chlorine Evolution and Simultaneous Removal of Ammonia Nitrogen and COD from Wastewater

This study addresses the removal of ammonia nitrogen (NH4+-N) and chemical oxygen demand (COD) from real coal chemical wastewater via electrochemical chlorine evolution. A nanorod-structured ruthenium dioxide catalyst (N-RuO2) was synthesized by modifying ruthenium trichloride precursor with ammonium chloride. Compared with unmodified RuO2, commercial DSA, and commercial RuO2 (Com-RuO2), N-RuO2 exhibited significantly enhanced electrochemical performance: Faradaic efficiency for chlorine evolution increased by 12.9%, 18.5%, and 25.6%, respectively; accelerated lifetime improved by 1.7, 1.9, and 2.9 times, respectively. In treating real coal chemical wastewater, N-RuO2 reduced NH4+-N to 86.4 mg·L−1 and COD to 72 mg·L−1, with degradation rate constants approximately 2.08 and 1.46 times higher than Com-RuO2, while energy consumption decreased by 17.7 Wh·g−1 and 1.5 Wh·g−1, respectively. Further studies showed that increasing chloride ion concentration enhanced removal rates and reduced energy consumption; higher current density accelerated removal but increased energy use; alkaline conditions favored NH4+-N removal, while neutral conditions favored COD removal. The excellent electrochemical performance of RuO2 nanorods indicates broad application prospects in practical water treatment.

Read Full Abstract10.12030/j.cjee.202512066
Catalytic Conversion of Carbohydrates: Opportunities and Challenges en Route to Fuels and ChemicalsGraphical AbstractVerified
Journal of Fuel Chemistry and Technology2026

Catalytic Conversion of Carbohydrates: Opportunities and Challenges en Route to Fuels and Chemicals

Carbohydrates, derived from abundant biomass resources, hold great promise for conversion into fine platform chemicals and fuels, which is crucial for sustainable development. The processes for carbohydrate conversion are predominantly driven by catalysis, with active components such as Brønsted acids and Lewis acids. This review provides a comprehensive overview of the catalytic conversion of various carbohydrates (monosaccharides, disaccharides, and polysaccharides) into high-value-added compounds. It elaborates on the specific pathways and mechanisms involved in reactions like hydrolysis, isomerization, and dehydration for target molecules such as 5-hydroxymethylfurfural, lactic acid, and furfural. Furthermore, the subsequent derivatization of these platform compounds and their application prospects in energy-related fields, including bio-fuels and batteries, are discussed. Finally, the current challenges in research are summarized, and future directions for the development of low-cost and high-performance catalytic systems are outlined.

Read Full Abstract10.1016/S1872-5813(26)60651-2
Coastal Urban Waterlogging Simulation and Drainage System Optimization: A Case Study of the Shajing River Drainage Area in ShenzhenGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Coastal Urban Waterlogging Simulation and Drainage System Optimization: A Case Study of the Shajing River Drainage Area in Shenzhen

Urban waterlogging, exacerbated by climate change and rapid urbanization, poses increasing risks, particularly in coastal low-lying areas with dense river networks. This study simulated waterlogging in the Shajing River drainage area of the Maozhou River basin, Shenzhen, using the SOBEK hydrodynamic model. Under a 5-year return period rainfall, 47 manholes overflowed and 31.29% of stormwater pipes operated at full capacity. Twelve waterlogging-prone points were identified: eight due to insufficient drainage capacity and five due to river backflow from low elevation. Two optimization schemes were compared: enlarging pipe diameters and implementing Low Impact Development (LID) measures. Pipe enlargement reduced overflowing manholes by 32 and full-flow pipe length by 20%, effectively decreasing surface ponding. LID measures reduced overflowing manholes by only 4 and full-flow pipe length by 1.5%, but decreased maximum flooding depth by nearly 1 m, alleviating drainage system burden. The study highlights the complex causes of coastal urban waterlogging, especially river backflow under tidal influence, and recommends considering sea-level rise and storm surge in drainage design. The findings provide valuable references for attributing waterlogging causes and planning drainage network upgrades in coastal cities.

Read Full Abstract10.12030/j.cjee.202408057
Research Progress on Supports for Rh-Based Catalysts in Heterogeneous Hydroformylation of OlefinsGraphical AbstractVerified
Journal of Fuel Chemistry and Technology2026

Research Progress on Supports for Rh-Based Catalysts in Heterogeneous Hydroformylation of Olefins

Olefin hydroformylation is a pivotal process for synthesizing high-value-added aldehydes, with applications extending from short-chain to long-chain olefins (C6+). Traditional homogeneous catalytic systems suffer from difficulties in separating and recovering precious rhodium (Rh), driving research toward heterogeneous catalytic systems. This review summarizes recent progress in supports for heterogeneous Rh-based catalysts, focusing on the influence of structural regulation strategies of inorganic oxide-supported, porous carbon-supported, organic porous polymer-based, zeolite-supported, and composite-supported catalysts on active site dispersion, regioselectivity, and cycle stability. Key findings include enhanced linear-to-branched (n/i) ratios and turnover frequencies (TOF) achieved through tailored support design. For instance, Rh1/CeO2 with morphology effects demonstrates molecular-level understanding of support effects, while Rh/activated carbon with surface oxygen groups improves catalytic performance in 1-hexene hydroformylation. Porous monophosphine polymers confine atomically dispersed Rh, achieving regioselective hydroformylation. Additionally, Rh-N4 single atoms and Rh clusters dual-active sites on supports yield ultra-high TOF. The review aims to provide insights for rational design of high-performance heterogeneous hydroformylation catalysts, addressing industrial challenges of catalyst recovery and stability.

Read Full Abstract10.1016/S1872-5813(26)60679-2
Machine Learning-Assisted Discovery of Lewis Base Additives for Defect Passivation in Perovskite Solar CellsGraphical AbstractVerified
Journal of Fuel Chemistry and Technology2026

Machine Learning-Assisted Discovery of Lewis Base Additives for Defect Passivation in Perovskite Solar Cells

Defect-induced nonradiative recombination critically restricts the power conversion efficiency (PCE) and stability of perovskite solar cells (PSCs). Lewis base additives show great promise in defect passivation, but current screening methods rely heavily on empirical trial and error and lack clear design principles, making it difficult to efficiently discover high-performance candidate materials. Here, we present a machine learning (ML) framework to intelligently screen Lewis base molecules for defect passivation. We trained six ensemble models on a dataset of 146 experimental data points, with Light Gradient Boosting Machine (LightGBM) yielding the best classification performance (87% accuracy). Shapley Additive Explanations (SHAP) interpretability analysis subsequently identifies the highest occupied molecular orbital (HOMO) energy (−7.5 to −6.3 eV), additive concentration (2.5 to 6.5 mg/mL), and simplified molecular backbones (O atom ≤ 2, C atom < 5) as critical design criteria. The ML prediction was experimentally validated: (S)-pyrrolidine-3-carboxylic acid ((S)-PCA) and 2-methyl-1,3-cyclopentanedione (MCPD) (Class Ⅱ) improved PCE by 2.22% and 2.01%, respectively, while 3-hydroxymethyl-3-methylbutanenitrile (3-HMBN) (Class Ⅰ) showed minimal gain. Density functional theory (DFT) calculations further confirmed the stronger binding affinities and elevated defect formation energies of Class Ⅱ additives. Notably, the champion (S)-PCA device achieved a PCE of 24.05%. This work established an ML-accelerated paradigm for the rational design of defect passivators, bridging data science and photovoltaics.

Read Full Abstract10.1016/S1872-5813(26)60655-X
High-throughput screening of SrxA1−xFeyB1−yO3 perovskites for low-temperature chemical looping air separation using graph neural networksGraphical AbstractVerified
Journal of Fuel Chemistry and Technology2026

High-throughput screening of SrxA1−xFeyB1−yO3 perovskites for low-temperature chemical looping air separation using graph neural networks

Low-temperature chemical looping air separation (CLAS) is a promising technology for producing oxygen-enriched gas streams, utilizing the redox properties of solid oxygen carriers to selectively capture and release oxygen from air. Oxygen vacancy formation energy (Eovf) is a key descriptor for evaluating the ease of oxygen release. In this study, the applicable range of Eovf for CLAS oxygen carriers was determined to be <2.3 eV via thermodynamic calculations. A graph neural network (GNN) model, specifically the ALIGNN architecture, was trained to predict Eovf with a mean absolute error (MAE) of 0.26 eV on the test set. Using this model, a high-throughput screening of 3,649 compositions of SrxA1−xFeyB1−yO3 perovskites was conducted to identify promising CLAS oxygen carriers. The predictions revealed that doping with Ba and Ca at the A-site and Co at the B-site effectively reduces Eovf. The screening criterion of Eovf < 2.3 eV successfully rediscovered several previously reported low-temperature CLAS oxygen carriers, validating the approach. This work demonstrates that GNN-based Eovf prediction can significantly accelerate the discovery of CLAS materials, with broader implications for other chemical looping applications such as full oxidation and syngas production.

Read Full Abstract10.1016/S1872-5813(26)60680-9
Investigating the migration mechanisms of heavy metals under silicate polymerization in gasification slag from landfilled municipal solid waste with rice husk additionGraphical AbstractVerified
Journal of Fuel Chemistry and Technology2026

Investigating the migration mechanisms of heavy metals under silicate polymerization in gasification slag from landfilled municipal solid waste with rice husk addition

Landfilled municipal solid waste (MSW) in China exceeds 8 billion tons, with high moisture (30–50%) and ash content (>50%), complicating conventional treatment. Slag gasification offers a clean and resource-oriented route, but heavy metal leaching from the resulting slag poses environmental risks. This study investigates the effect of rice husk addition (5–15%) on the vitrification of landfilled-waste slag and the immobilization of heavy metals (Cr, Zn, Cu). Results show that adding 5–10% rice husk lowers the slag flow temperature to a minimum of 1213 °C, attributed to active SiO2 reacting with CaO and Fe2O3 to form low-melting eutectics like anorthite. Leaching concentrations of Cr and Zn decrease from 41.60 and 108.00 mg/L to 5.89 and 7.10 mg/L, respectively, with 10–15% rice husk. The amorphous SiO2 enhances silicate polymerization (Q3, Q4 networks), promoting physical encapsulation and chemical incorporation of heavy metals into stable phases such as Zn2SiO4 and CuFe2O4, increasing the residual fraction and reducing bioavailability. At temperatures >1400 °C, volatilization of Cu and Zn increases, with residual rates dropping to 33–60% and 31–55%, respectively, while Cr remains stable (70–123%). This work elucidates the mechanistic role of rice husk in slag structure modulation and heavy metal immobilization, providing a theoretical basis for the co-treatment of landfilled waste and biomass via a 'treating waste with waste' strategy.

Read Full Abstract10.1016/S1872-5813(26)60676-7
Continuous Manufacturing Process Design of Solid-Waste-Based Ozone Catalysts and Their Long-Term Performance StudyGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Continuous Manufacturing Process Design of Solid-Waste-Based Ozone Catalysts and Their Long-Term Performance Study

The high cost of catalysts is a critical barrier to the upgrading and cost reduction of catalytic ozonation technology. This study developed a low-cost, long-life Fe–Mn-based ozone catalyst (FMG) derived from solid wastes (red mud and blast-furnace slag), leveraging iron and manganese components to construct dual active centers. A continuous manufacturing process was achieved by integrating alkali-activated cementitious reactions with disc pelletization via a cascade spray-coating and multi-stage curing technique. Under optimal conditions (ozone dosage 3.5 mg·L−1), the catalyst achieved 81.81% total organic carbon (TOC) removal of phenol solution within 60 min, retaining 87.27% of its initial activity after 15 reuse cycles. Long-term continuous-flow tests over 60 days demonstrated stable TOC removal between 69.44% and 75.46%. The production cost of FMG was 1,351.44 CNY·t−1, and the unit TOC removal cost was only 0.06 CNY·(g TOC)−1, representing a 78.69%–86.85% reduction compared to commercial catalysts (0.30–0.48 CNY·(g TOC)−1). This work provides a theoretical and technical foundation for cost-effective catalytic ozonation and high-value conversion of bulk solid wastes.

Read Full Abstract10.12030/j.cjee.202511011
Green Synthesis of Hierarchical NaY Zeolite from Perlite for Enhanced Knoevenagel CondensationGraphical AbstractVerified
Journal of Fuel Chemistry and Technology2026

Green Synthesis of Hierarchical NaY Zeolite from Perlite for Enhanced Knoevenagel Condensation

Hierarchical aluminum-rich zeolites are promising catalysts for Knoevenagel condensation, but their synthesis is often costly and energy-intensive. This work reports a green route to hierarchical NaY zeolite using submolten salt (SMS) activated perlite as the sole silicon and aluminum source. The product exhibits high purity and crystallinity, with a framework SiO2/Al2O3 molar ratio of approximately 4.2, intercrystalline mesopores centered at about 20 nm, large external surface area, and abundant basic sites. Crystallization studies reveal that small crystals initially assemble on the activated perlite surface, then grow and aggregate to form a crystal-packed morphology with intercrystalline mesopores. In the Knoevenagel condensation of benzaldehyde with ethyl cyanoacetate, the hierarchical NaY zeolite achieves higher benzaldehyde conversion than conventional NaY zeolites, attributed to improved mass transfer and increased basic site accessibility. This work provides a cost-effective and sustainable catalyst while valorizing natural perlite.

Read Full Abstract10.1016/S1872-5813(26)60661-5
Construction of Calcium-Manganese Composite Desulfurizer for Synergistic Removal of SO2/Hg0Graphical AbstractVerified
Journal of Fuel Chemistry and Technology2026

Construction of Calcium-Manganese Composite Desulfurizer for Synergistic Removal of SO2/Hg0

Under the carbon neutrality strategy, biomass boilers have emerged as key facilities for renewable energy utilization, yet are characterized by low-concentration SO2 emissions. Ca-based dry desulfurization presents a promising technology for biomass boiler flue gas purification due to its compact structure, low capital investment and simple operation and maintenance. However, it is generally limited by the low adsorbent utilization and insufficient desulfurization efficiency. Herein, this study developed a novel Ca-Mn composite adsorbent through a synergistic strategy integrating F127 surfactant to optimize dispersion and Mn loading to enhance oxidation efficiency. The resulting adsorbent not only significantly increased the breakthrough sulfur capacity of the Ca-based material but also markedly improved the synergistic removal of Hg0. It was demonstrated that the introduction of Mn elements and F127 effectively suppressed the agglomeration of Ca(OH)2 crystallites and induced an oxygen vacancy-rich structure, while simultaneously optimizing the pore structure of the adsorbent. The modified adsorbent exhibited the enlarged specific surface area and pore volume, which favored to enhance the reaction mass transfer and effectively prevent the pore blockage and coverage of active sites by desulfurization products. The Mn sites and oxygen vacancies formed catalytic centers, which not only accelerated the desulfurization reaction by promoting SO2 oxidation but also enabled the adsorbent to couple with Hg0 catalytic oxidation functionality. Consequently, the simultaneous removal of SO2 and Hg0 was significantly enhanced on the Ca-Mn composite adsorbent.

Read Full Abstract10.1016/S1872-5813(26)60656-1
Machine learning-based prediction and optimization of the cellulose conversion process for levulinic acid productionGraphical AbstractVerified
Journal of Fuel Chemistry and Technology2026

Machine learning-based prediction and optimization of the cellulose conversion process for levulinic acid production

Levulinic acid (LA) is a promising platform product with wide industrial applications. Efficient conversion of cellulose into LA has become a research hotspot, yet traditional experimental optimization is time-consuming and inefficient. This study integrates multidimensional data—reaction conditions, solvent properties, and physicochemical characteristics of metal salts—to construct a systematic dataset. Six machine learning models (decision tree, gradient boosting regression, K-nearest neighbors, multilayer perceptron, random forest, and support vector machine) were developed to predict LA yield. The gradient boosting regression (GBR) model achieved the best performance, with a test-set determination coefficient (R²) of 0.94 and the lowest root-mean-square error (RMSE). SHapley Additive exPlanations (SHAP) and partial dependence analysis identified water fraction, catalyst dosage, and reaction temperature as the key factors influencing LA formation. By integrating the GBR model with particle swarm optimization (PSO), RuCl₃ was identified as an efficient catalyst under high-temperature and short-reaction-time conditions. This study demonstrates the potential of machine learning in cellulose conversion research, providing a data-driven strategy and theoretical guidance for efficient and green LA production.

Read Full Abstract10.1016/S1872-5813(26)60665-2
Manganese Promoter Hinders Carbon Permeation on Iron-Based Catalyst Surfaces: A First-Principles StudyGraphical AbstractVerified
Journal of Fuel Chemistry and Technology2026

Manganese Promoter Hinders Carbon Permeation on Iron-Based Catalyst Surfaces: A First-Principles Study

Fe-Mn catalysts have attracted considerable attention for industrial Fischer-Tropsch synthesis (FTS) due to their ability to modulate product spectra. Carbon adsorption and permeation on catalyst surfaces are critical elementary steps in the in situ formation of active iron carbide phases. Here, density functional theory (DFT) calculations systematically investigate the atomistic structures, thermodynamic stabilities, and electronic properties of carbon-deposited Fe-Mn alloy surfaces at the early stage of carburization. These surfaces exhibit distinct thermodynamic sensitivity to carbon atoms adsorbed on the surface and permeating into interstitial sites. By combining DFT with minima-hopping structural searches, we demonstrate that the initial stage of carbon permeation cannot trigger surface reconstruction to form iron carbide phases. The addition of manganese thermodynamically hinders carbon permeation. Although deposited carbon atoms modulate the electronic structure of metals, manganese retards the shift of d-band centers toward those of bulk iron carbide phases. This study provides atomic-scale insight into the in situ evolution of Fe-Mn catalyst surfaces during carbon deposition, indicating that manganese promoter has a noticeable effect on carbon permeation.

Read Full Abstract10.1016/S1872-5813(26)60657-3
Engineering Optimization of an 80 t·d−1 Municipal Solid Waste Gasification-Incineration Furnace: A Case Study in Inner MongoliaGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Engineering Optimization of an 80 t·d−1 Municipal Solid Waste Gasification-Incineration Furnace: A Case Study in Inner Mongolia

Municipal solid waste (MSW) management in Inner Mongolia has long relied on landfilling, facing land scarcity and leachate management challenges. This study addresses the region's dry, cold climate, high proportion of agricultural and livestock waste, fluctuating moisture content, and weak leachate treatment capacity. An engineering optimization was implemented on an 80 t·d−1 vertical rotary gasification-incineration system featuring a dual-combustion-chamber design (primary chamber for medium-temperature pyrolysis-gasification at 550–650 °C and secondary chamber for high-temperature oxidation above 900 °C), coupled with in-situ leachate recirculation. Field measurements showed improved processing capacity and continuous operation stability. Under the project's leachate yield, in-situ recirculation achieved on-site disposal without significant adverse effects on gasification-incineration conditions, providing buffering against moisture fluctuations. During the monitoring period, major gaseous pollutant emissions remained below current national standards. The results provide engineering references for the co-processing and stable operation of small-scale county-level MSW treatment facilities.

Read Full Abstract10.12030/j.cjee.202511050
Effect of Fermentation Temperature on Volatile Fatty Acid Production and Fungal Community Structure from Brewer's Spent GrainGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Effect of Fermentation Temperature on Volatile Fatty Acid Production and Fungal Community Structure from Brewer's Spent Grain

Brewer's spent grain (BSG), a major byproduct of the brewing industry, is produced in large quantities globally, yet its high-value utilization remains limited. This study investigated the effects of fermentation temperature (35, 40, 45, 50, and 55 °C) on volatile fatty acid (VFA) production and fungal community structure during anaerobic fermentation of BSG. Results showed that mesophilic temperatures significantly enhanced VFA yields, with the highest production at 35 °C, reaching 344.22 mg/g COD converted, and a peak VFA concentration of 14,267 mg/L after 5 days. Acetic acid dominated the VFA profile (95.6%–98.9%) across all temperatures. Protein and carbohydrate degradation rates were highest under mesophilic conditions, while lipid degradation peaked at 55 °C. Fungal community analysis revealed that at peak acid production, cellulose-degrading fungi were predominant, with Oligophagozyma being the dominant genus at 35 °C (90.07%) and 40 °C (55.31%). Higher temperatures increased fungal diversity and evenness. Mantel tests indicated that carbohydrates and lipids promoted fungal growth, whereas total dissolved solids, nitrate, and phosphate inhibited it. These findings provide insights into the role of fungi in VFA production from BSG and support its resource utilization.

Read Full Abstract10.12030/j.cjee.202511094
Effects of Different Morphologies of PET Microplastics on Anaerobic Digestion of Sewage SludgeGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Effects of Different Morphologies of PET Microplastics on Anaerobic Digestion of Sewage Sludge

Microplastics in sewage sludge, owing to their diverse physicochemical properties, can differentially affect subsequent anaerobic digestion. This study focused on polyethylene terephthalate (PET) microplastics, systematically investigating the effects of particle (MP), fiber (MF), and film (MPF) morphologies at concentrations of 0–150 mg·g⁻¹ (based on total solids) on sludge digestion performance and microbial community structure. Results showed that MP inhibited total biogas production at all concentrations (inhibition rates 8.16%–9.58%), whereas MF and MPF exhibited low-concentration stimulation and high-concentration inhibition, with MPF exerting stronger inhibition than MF. All MP concentrations induced significant reactive oxygen species (ROS) accumulation (increases of 9.43%–34.52%), indicating the strongest oxidative stress. Low concentrations of PET generally enhanced cell membrane permeability, prompting microbes to secrete different extracellular polymeric substances (EPS) to resist stress. The morphology and concentration of microplastics regulated the relative abundances of key functional bacteria (e.g., proteolytic bacteria and organic acid-oxidizing bacteria) and low-abundance bacteria, ultimately leading to differences in digestion performance. This study provides a theoretical basis for efficient treatment of sludge containing microplastics.

Read Full Abstract10.12030/j.cjee.202511052