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Global Warming Potential Analysis of Air Pollution Control Processes in Municipal Solid Waste Incineration under Ultra-Low Emission Standards

Graphical AbstractVerified

Journal of Environmental Engineering Technology2026

Global Warming Potential Analysis of Air Pollution Control Processes in Municipal Solid Waste Incineration under Ultra-Low Emission Standards

This study evaluates the global warming potential (GWP) of three typical air pollution control device (APCD) configurations in municipal solid waste (MSW) incineration under ultra-low emission standards. The configurations are APCD1 (SNCR+SDS+DS+ACI+FF), APCD2 (SNCR+SDS+DS+ACI+FF+SCR+WS), and APCD3 (SNCR+SDS+DS+ACI+FF+WS+SCR). Life cycle assessment (LCA) was applied to quantify GWP. Results indicate that APCD3 exhibits the highest GWP due to increased electricity consumption, yet it achieves the lowest pollutant emissions among the three. APCD1 shows the highest NOx emissions, contributing significantly to GWP, and requires technological upgrades. APCD2 consumes more resources but does not proportionally reduce emissions, suggesting inefficiencies. Electricity consumption is the dominant factor influencing GWP across all processes; reducing electricity use and improving energy efficiency are critical for mitigating environmental impact. The study recommends further research on CO2 reduction strategies and adoption of more efficient DeNOx technologies to align MSW incineration with ultra-low emission and low-carbon goals.

Read Full Abstract10.13205/j.hjgc.202607006

Preparation of Red Mud-Modified Sludge-Based Biochar and Its Phosphorus Adsorption Efficiency and Mechanism

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Journal of Environmental Engineering Technology2026

Preparation of Red Mud-Modified Sludge-Based Biochar and Its Phosphorus Adsorption Efficiency and Mechanism

To address the dual challenges of phosphorus resource scarcity and eutrophication control, this study proposed a sustainable waste-treats-waste strategy by preparing red-mud-modified sludge-based biochar (RMSBC) via co-pyrolysis of red mud and sewage sludge. The optimal material (RMSBC800), produced at 800 °C with a red mud-to-sludge mass ratio of 3:1, achieved a maximum phosphorus adsorption capacity of 28.57 mg/g, a 350% enhancement over unmodified biochar (SBC). Characterization (SEM, XRD, EDS, FT-IR, XPS) revealed that red mud modification increased the average pore size from 7.91 nm to 20.33 nm, reduced electronegativity, and raised the pH at point of zero charge (pHpzc) from 2.01 to 3.37. Adsorption kinetics followed the pseudo-second-order model, and isotherms fitted the Langmuir model, indicating monolayer chemisorption. The Freundlich parameter 1/n was 0.34, suggesting favorable adsorption. Mechanistic studies identified electrostatic attraction and surface precipitation as dominant, with molecular dynamics simulations confirming the critical role of Fe3O4 over Fe2O3 in adsorbing HPO4^2- due to stronger electrostatic interactions. The material retained 61% of its initial capacity after five regeneration cycles and achieved 83% phosphorus removal from real wastewater. This work demonstrates synergistic valorization of industrial wastes, offering an economically viable solution for phosphorus pollution control and resource recovery.

Read Full Abstract10.13205/j.hjgc.202607018

Acid-Modified Red Mud Enhances Anaerobic Digestion of Food Waste via Synergistic Adsorption and Electron Transfer: Performance and Mechanism

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Journal of Environmental Engineering Technology2026

Acid-Modified Red Mud Enhances Anaerobic Digestion of Food Waste via Synergistic Adsorption and Electron Transfer: Performance and Mechanism

Anaerobic digestion (AD) is a viable route for energy recovery from food waste (FW), yet it often suffers from process instability due to volatile fatty acids (VFAs) accumulation and subsequent pH drop. This study modified red mud (RM) with hydrochloric acid to produce acid-modified red mud (AMRM), aiming to optimize its alkalinity and physicochemical properties. The efficacy of AMRM as an additive in FW anaerobic digestion was systematically evaluated. Results demonstrated that adding 3% AMRM significantly enhanced the buffering capacity and controlled VFAs accumulation, particularly propionic acid. This was attributed to the developed pore structure of AMRM, whose specific surface area increased by 347% compared to raw RM, facilitating rapid VFAs adsorption. Furthermore, AMRM enriched hematite (Fe2O3), which elevated electron transport system (ETS) activity and coenzyme F420 content, suggesting its role as an electron carrier promoting direct interspecies electron transfer (DIET) between syntrophic bacteria and methanogens. Consequently, the cumulative methane yield reached 633.9 mL/g VS, which was 175.1% and 55.2% higher than the control and raw RM groups, respectively. The VS removal efficiency was 75.1%. This study provides a dual-pathway mechanism—adsorption and electron transfer—for enhancing AD performance, offering a cost-effective and sustainable strategy for FW treatment and RM valorization.

Read Full Abstract10.13205/j.hjgc.202607011

Release and Vertical Migration Behavior of Typical Microplastics from Sewage Sludge Organic Fertilizer Applied in Public Green Spaces

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Journal of Environmental Engineering Technology2026

Release and Vertical Migration Behavior of Typical Microplastics from Sewage Sludge Organic Fertilizer Applied in Public Green Spaces

Microplastic pollution poses a severe threat to terrestrial ecosystems, with soil acting as a major sink. The application of sewage sludge organic fertilizer in public green spaces introduces microplastics (MPs) into the soil, yet their release and vertical migration dynamics remain poorly understood. This study investigated the release and transport of polypropylene (PP) and polyethylene (PE) MPs, the most prevalent types in sludge organic fertilizer, under simulated rainfall conditions representative of Chengdu. Over a six-month simulated rainfall period, the release rate of PE (26.1±1.8%) at 0.2% abundance (weight ratio) and 20–40 μm size was significantly higher than that of PP (16.4±1.3%). The highest release was observed for 40–60 μm particles, while excessive abundance induced aggregation, inhibiting release. A 24-month simulated transport experiment revealed that PE exhibited higher mobility than PP, with peak migration occurring between 14 and 18 months, and 40–60 μm particles showing the greatest transport capacity. Environmental factors critically modulated migration: increasing pH enhanced mobility, but the promoting effect of sludge leachate diminished under alkaline conditions; higher electrolyte concentrations reduced mobility, with sludge leachate exerting stronger inhibition at high EC; organic matter exhibited a non-linear effect, promoting transport at low concentrations and inhibiting at high concentrations. These findings provide essential data for mitigating microplastic contamination in public green spaces.

Read Full Abstract10.13205/j.hjgc.202607015

Multi-scale reaction kinetic characteristics of waste tire pyrolysis

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Journal of Environmental Engineering Technology2026

Multi-scale reaction kinetic characteristics of waste tire pyrolysis

Waste tire pyrolysis has emerged as a leading treatment technology due to its broad applicability, high resource recovery efficiency, and low environmental pollution. This study employs thermogravimetric analysis to investigate the influence of heating rate on pyrolysis characteristics and systematically analyzes reaction kinetics across three scales: overall reaction, weight-loss stages, and Fraser-Suzuki deconvolution. The Fraser-Suzuki function, with its asymmetric peak-fitting capability, outperforms conventional methods in describing the complex continuous reaction, achieving superior fit accuracy (R²=0.998). Deconvolution resolves the pyrolysis into four pseudo-components: additives, natural rubber, synthetic rubber, and high-temperature residual reactants, with average activation energies of 118.21, 202.60, 231.98, and 251.97 kJ/mol, respectively. The study provides critical theoretical support for temperature-zone control and reactor design optimization in waste tire pyrolysis technologies.

Read Full Abstract10.13205/j.hjgc.202607008

Effects of Lychee Wood Biochar and Lignin-Degrading Bacteria on Performance of Aerobic Composting Coupled with Vermicomposting for Cow Dung and Rice Husk

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Journal of Environmental Engineering Technology2026

Effects of Lychee Wood Biochar and Lignin-Degrading Bacteria on Performance of Aerobic Composting Coupled with Vermicomposting for Cow Dung and Rice Husk

This study investigated the effects of lychee wood biochar and lignin-degrading bacteria on compost maturity, substance transformation, and bacterial communities during the coupled process of aerobic composting and vermicomposting of cow dung and rice husk. Four treatments were established: no addition (CK), 5% (w/w) lychee wood biochar addition (T1), 0.5% (w/w) lignin-degrading bacteria (Bacillus subtilis, Aspergillus niger) addition (T2), and combined addition of 5% biochar and 0.5% bacteria (T3). Results showed that biochar and/or bacteria addition accelerated temperature rise, extended high-temperature duration to 13 days, and increased maximum temperature. Compared to CK, T1–T3 increased organic matter degradation by 3.97%–9.56%, humic acid content by 12.30%–24.09%, available phosphorus and potassium by 14.48%–32.50% and 6.97%–18.85%, respectively. NH3 emissions were reduced by 25.86%–34.26%, while nitrate nitrogen and total nitrogen increased by 12.83%–43.34% and 5.73%–13.18%, respectively. Seed germination index improved by 11.62%–29.20%. T3 exhibited the best overall performance. During aerobic composting, biochar and/or bacteria significantly increased relative abundances of Bacteroidota, Planctomycetota, and Acidobacteriota, but effects were not significant during vermicomposting. Functional genera such as Bacillus, Pseudomonas, and Chryseolinea were enriched in both stages. The study concludes that adding 5% lychee wood biochar and/or 0.5% lignin-degrading bacteria to cow dung and rice husk in coupled composting-vermicomposting improves bacterial community structure, promotes organic matter degradation, enhances humification, reduces nitrogen loss, and accelerates compost maturity, with combined addition being most effective.

Read Full Abstract10.13205/j.hjgc.202607012

Preparation of Biochar from Co-pyrolysis of Napier Grass and Food Waste Digestate for Pb²⁺ Removal from Wastewater

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Journal of Environmental Engineering Technology2026

Preparation of Biochar from Co-pyrolysis of Napier Grass and Food Waste Digestate for Pb²⁺ Removal from Wastewater

Lead (Pb) is a highly toxic heavy metal that poses severe risks to environmental and human health, particularly affecting children's neurological development. This study investigates the adsorption performance and mechanisms of biochars derived from pyrolysis of Napier grass (Pennisetum purpureum), food waste digestate, and their mixtures for Pb²⁺ removal from aqueous solutions. Biochars were prepared at different mass ratios, and the optimal material (HP3SD1-B, Napier grass:digestate = 3:1) exhibited a maximum equilibrium adsorption capacity of 306.45 mg/g and a theoretical Langmuir maximum capacity of 447.62 mg/g, significantly outperforming pure digestate biochar and lower-ratio blends. Adsorption kinetics followed a three-stage profile: rapid liquid-film diffusion (0–180 min), intraparticle diffusion (180–360 min), and equilibrium at 360 min. The adsorption process was well described by the pseudo-second-order kinetic model (R² > 0.99) and the Langmuir isotherm, indicating monolayer chemisorption. Characterization via FTIR, XPS, SEM-EDS, and Zeta potential revealed that Pb²⁺ immobilization occurs primarily through surface precipitation (Pb₃(CO₃)₂(OH)₂ and PbO), complexation with hydroxyl, ether, and aromatic C=C groups, and auxiliary mechanisms including electrostatic attraction and K⁺/Mg²⁺ ion exchange. Optimal adsorption occurred at pH 6, correlating with the point of zero charge (PZC ≈ 2). This study demonstrates that co-pyrolysis of agricultural and organic solid wastes offers a cost-effective, high-performance biochar for heavy metal remediation, aligning with circular economy principles.

Read Full Abstract10.13205/j.hjgc.202607016

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

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Journal of Environmental Engineering Technology2026

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

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.

Read Full Abstract10.13205/j.hjgc.202607009

Effects of Low-Concentration Perfluorooctane Sulfonate on Anaerobic Fermentation of Activated Sludge

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Journal of Environmental Engineering Technology2026

Effects of Low-Concentration Perfluorooctane Sulfonate on Anaerobic Fermentation of Activated Sludge

The impact of low concentrations of perfluorooctane sulfonate (PFOS) on anaerobic fermentation of waste activated sludge (WAS) remains poorly understood. This study applied three PFOS levels (0.5, 1.0, and 4.5 μg/g TSS) to systematically evaluate effects on organic matter solubilization and nitrogen/phosphorus transformations. Monitoring of soluble chemical oxygen demand (SCOD), soluble protein, polysaccharides, NH4+-N, PO43--P, and three-dimensional excitation-emission matrix (3D-EEM) fluorescence revealed that PFOS significantly enhanced release of SCOD, protein, and polysaccharides. At 45 °C after 14 days with 4.5 μg/g TSS, SCOD peaked approximately 28% higher than control, indicating increased biodegradable organic matter accumulation. NH4+-N concentrations rose overall with fluctuations, while PO43--P release was inhibited, suggesting interference with nutrient transformation pathways. 3D-EEM analysis showed strengthened signals of aromatic proteins and microbial by-products, confirming matrix solubilization. These findings demonstrate a dual effect of low-level PFOS: initial promotion of organic matter release followed by potential inhibition of nutrient transformation. This study provides data support for understanding PFOS environmental behavior in anaerobic digestion and informs sludge resource utilization and risk assessment of emerging contaminants.

Read Full Abstract10.13205/j.hjgc.202607010

Carbon Emissions Accounting and Techno-Economic Evaluation of Biochar and Organic Fertilizer Production from Distillers' Grains

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Journal of Environmental Engineering Technology2026

Carbon Emissions Accounting and Techno-Economic Evaluation of Biochar and Organic Fertilizer Production from Distillers' Grains

Distillers' grains, the largest organic solid waste stream in the brewing industry, require efficient low-carbon valorization to support China's Dual Carbon Goals. This study employs life cycle assessment (LCA) to quantify CO2 emissions and carbon reduction benefits of two mainstream routes: pyrolysis to biochar and fermentation to organic fertilizer. Based on public process data, the total life-cycle CO2 emission for biochar production from 1 t of distillers' grains is 250.02 kg, with a carbon sequestration reduction of 120.29 kg, demonstrating superior long-term carbon fixation. In contrast, organic fertilizer production emits 536.14 kg CO2 per ton, achieving a carbon reduction of only 86.22 kg, indicating inferior mitigation performance. Techno-economic analysis reveals net profits of 471.97 CNY/t for biochar and 822.27 CNY/t for organic fertilizer, showing that the organic fertilizer route offers higher profitability. Both pathways effectively reduce CO2 emissions, with biochar prioritizing environmental sustainability and organic fertilizer excelling economically. This study provides data-driven insights for selecting organic solid waste recycling strategies, promoting low-carbon technologies, and establishing circular economy models in the brewing industry.

Read Full Abstract10.13205/j.hjgc.202607017

Synergistic Effects of Earthworm Mucus and Different Biochars on Heavy Metal Bioavailability in Sludge Composting

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Journal of Environmental Engineering Technology2026

Synergistic Effects of Earthworm Mucus and Different Biochars on Heavy Metal Bioavailability in Sludge Composting

This study investigated the synergistic effects of earthworm mucus and two biochar types (rice husk biochar and straw biochar) on heavy metal bioavailability during sludge composting. Sludge was amended with earthworm mucus alone or combined with biochars at varying proportions, and the impacts on physicochemical properties, total heavy metal concentrations, bioavailable fractions, and chemical speciation were analyzed. Results showed that mucus addition increased sludge pH and electrical conductivity (EC) but decreased total nitrogen (TN) and total phosphorus (TP) contents. Synergistic mucus-biochar composting further elevated pH and EC while reducing TN, with the optimal treatment being mucus plus 10% rice husk biochar. Mucus-only composting reduced total concentrations and bioavailability of Cd, Cu, Ni, Zn, and Pb. Adding biochars significantly enhanced these reductions. Specifically, mucus with rice husk biochar achieved the best Cd removal, with total and bioavailable Cd decreasing by 27.03%–55.68% and 9.52%–28.57% (P<0.05), respectively, compared to controls. Mucus with straw biochar was most effective for Ni, Zn, and Pb, reducing total contents by 3.81%–5.72%, 7.93%–34.62%, and 42.61%–79.46%, and bioavailable fractions by 2.90%–26.31%, 15.58%–24.14%, and 32.30%–36.88% (P<0.05), respectively. Speciation analysis revealed that Cd, Ni, and Pb carbonate-bound fractions transformed into residual forms, and exchangeable fractions shifted to Fe-Mn oxide-bound forms. Straw biochar addition resulted in the highest residual fractions for Cd, Cu, Ni, Zn, and Pb, increasing by 0.35%–7.02%, 8.61%–12.90%, 16.62%–23.02%, 17.33%–26.10%, and 16.12%–27.20% (P<0.05), respectively. These findings demonstrate that earthworm mucus combined with rice husk or straw biochar effectively reduces heavy metal concentrations and bioavailability in sludge, offering a promising strategy for sludge composting.

Read Full Abstract10.13205/j.hjgc.202607013

Biochar-Enhanced Anaerobic Co-digestion of Kitchen Waste and Excess Sludge: Performance, Stability, and Microbial Community Dynamics

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Journal of Environmental Engineering Technology2026

Biochar-Enhanced Anaerobic Co-digestion of Kitchen Waste and Excess Sludge: Performance, Stability, and Microbial Community Dynamics

Kitchen waste (KW) and excess sludge (ES) are urban biowastes with resource recovery potential, commonly treated via anaerobic digestion (AD) for methane production. However, KW mono-digestion suffers from acidification, while ES yields low methane. This study employed semi-continuous reactors to simulate practical AD, co-digesting KW and ES at a 4:1 volatile solids ratio with biochar addition (0.5, 1.0, 2.5, 5.0, 10.0 g/L). The optimal biochar dosage was 2.5 g/L, achieving cumulative biogas and methane volumes of 17.53 L and 11.63 L, respectively, representing 42.10% and 39.47% increases over the biochar-free control, and 34.45% and 43.30% enhancements relative to thermally hydrolyzed sludge. The methanogenic lag phase decreased from (5.65±0.11) d to (4.33±0.12) d. Process stability improved, with average volatile fatty acids (VFAs) during stable operation dropping from 1708 mg/L to 1033 mg/L. Microbial analysis revealed enhanced diversity and enrichment of Synergistetes and Syntrophomonas, indicating direct interspecies electron transfer (DIET) promotion. Biochar at low concentrations enhances AD by immobilizing microbes and facilitating electron transfer, while high concentrations (10 g/L) may inhibit methanogenesis due to fatty acid degradation blockage, yet total methane production remained above control. These findings demonstrate that biochar addition at 2.5 g/L effectively enhances methane production and process stability in KW-ES co-digestion.

Read Full Abstract10.13205/j.hjgc.202607020

Mechanism of Biochar for Enhancing Volatile Fatty Acids Production during Anaerobic Fermentation of Food Waste

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Journal of Environmental Engineering Technology2026

Mechanism of Biochar for Enhancing Volatile Fatty Acids Production during Anaerobic Fermentation of Food Waste

This study investigated the effects of biochar on volatile fatty acids (VFAs) production, biogas composition, physicochemical properties of the fermentation broth, and microbial community structure through batch anaerobic fermentation experiments using food waste as the substrate. The results demonstrated that the addition of biochar (1 g/L) significantly enhanced VFAs production, with the total VFAs concentration reaching 2150 mg/L in the biochar group, which was 30.2% higher than that of the control group (1651 mg/L). Acetic acid, propionic acid, and butyric acid were identified as the primary VFAs components. In the fermentation system, biochar exhibited a notable pH-buffering effect, stabilizing the fermentation environment. Additionally, its porous structure adsorbed ions during the fermentation process, resulting in a slightly lower electrical conductivity compared to the control group. Microbial community analysis revealed that biochar addition enriched key acidogenic bacteria, such as Defluviitoga and norank_f__Family_XI, optimizing the microbial community structure, and thereby facilitating organic acid production. In summary, biochar effectively promoted the efficient accumulation of VFAs during anaerobic fermentation of food waste by improving the fermentation microenvironment, enhancing system buffering capacity, and regulating microbial community composition. These findings provide theoretical support for sustainable enhancement of resource utilization of food waste.

Read Full Abstract10.13205/j.hjgc.202607019

Effects of Nitrogen-Rich Wastewater Reuse on Aerobic Fermentation Performance of Substrates with Different Carbon-Nitrogen Ratios

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Journal of Environmental Engineering Technology2026

Effects of Nitrogen-Rich Wastewater Reuse on Aerobic Fermentation Performance of Substrates with Different Carbon-Nitrogen Ratios

Reducing ammonia emissions and recovering lost nitrogen are critical for enhancing nitrogen content in compost. Biological trickling filters, as end-of-pipe odor control, retain ammonia nitrogen in effluent, offering a reuse pathway. However, the impact of nitrogen-rich wastewater reuse within the optimal C/N range (20.0:1–30.0:1) remains unclear. This study composted biogas residue, sawdust, food waste, and mushroom residue, setting initial C/N as the control variable. Four groups were established: low C/N with nitrogen-rich wastewater (LRN), low C/N with deionized water (LRW), high C/N with nitrogen-rich wastewater (HRN), and high C/N with deionized water (HRW). Simulated wastewater (2000 mg/L NH4+-N and 2000 mg/L NO2−-N) was recycled. Results showed no inhibition of final maturity; pH (8.17–8.48) and seed germination index (GI) (90.85%–122.96%) met organic fertilizer standards. HRN reduced cumulative total greenhouse gases, N2O, and NH3 by 20.32%–30.35%, 0.67%–53.38%, and 52.14%–62.15% compared to LRN and LRW. Although HRN emissions were slightly higher than HRW (total GHGs +4.56%, NH3 +4.99%), HRN final nitrogen content (4691.27 mg/kg) exceeded HRW (4514.96 mg/kg), attributed to sufficient carbon enhancing microbial assimilation. Conversely, low C/N with nitrogen-rich wastewater increased NH3 and N2O emissions (LRN vs LRW: +26.43% and +112.99%) due to carbon limitation. Thus, high initial C/N with nitrogen-rich wastewater reuse effectively reduces gaseous nitrogen loss and greenhouse gas emissions while maintaining compost maturity.

Read Full Abstract10.13205/j.hjgc.202607014

Application and Research Progress of Machine Learning in Typical Sludge Treatment Technologies

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Journal of Environmental Engineering Technology2026

Application and Research Progress of Machine Learning in Typical Sludge Treatment Technologies

The continuous expansion of urban sewage treatment capacity has led to a sustained increase in sludge generation, making efficient treatment, disposal, and resource recovery critical in environmental engineering. Machine learning (ML) offers substantial potential for prediction and optimization in sludge treatment by extracting non-linear features from complex operational data. This review systematically examines the application of ML across typical sludge treatment processes, including dewatering, resource recovery (anaerobic digestion), and terminal disposal (incineration and landfill). The general modeling workflow is summarized across three dimensions: dataset preparation, algorithm selection, and model evaluation. A comparative analysis evaluates the applicability and limitations of support vector machines (SVM), random forests (RF), artificial neural networks (ANN), and other deep learning models. SVMs demonstrate greater stability with small-to-medium sample sizes and high-dimensional data, while RFs exhibit strong generalization and provide variable importance insights. ANNs and deep learning models excel in large-scale data and time-series or image tasks but require high data quality. Key findings from the literature include ANN achieving R²=0.99 and RMSE=0.02 in dewatering prediction, and R²=0.86 with NRMSE=0.31 in anaerobic digestion, while gradient boosting reached R²=0.90 and RMSE=0.33. Future directions emphasize multi-source data fusion, model interpretability (e.g., SHAP), and coupling ML with mechanistic models to enhance predictive accuracy and generalization, supporting intelligent and refined sludge treatment management.

Read Full Abstract10.13205/j.hjgc.202607021

Main Applications of Machine Learning in Sludge Anaerobic Digestion: From Process Optimization to Intelligent Decision-Making

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Journal of Environmental Engineering Technology2026

Main Applications of Machine Learning in Sludge Anaerobic Digestion: From Process Optimization to Intelligent Decision-Making

Anaerobic sludge digestion is the core process for achieving energy recovery and sludge reduction in wastewater treatment plants. However, its complex biological reaction mechanisms and multivariable coupling characteristics pose persistent challenges to process optimization and stable control. Traditional mechanistic models, while theoretically clear, suffer from parameter calibration difficulties and insufficient adaptability under dynamic and nonlinear conditions. Machine learning (ML) has gained attention for its powerful data modeling capabilities. This review systematically examines ML applications in sludge anaerobic digestion, focusing on biogas production prediction, process monitoring and early warning, and process parameter optimization. For gas production, hybrid models and deep learning achieve high-precision methane yield predictions. Soft-sensing models using easy-to-measure parameters enable real-time estimation of volatile fatty acids and total ammonia nitrogen. At the optimization level, coupling surrogate models with optimization algorithms provides dynamic regulation strategies for co-digestion ratios and pretreatment conditions. Interpretable methods address the 'black-box' issue, enhancing engineering acceptability. Deep integration of these methods with dynamic optimization supports an intelligent decision-making framework. However, translation from laboratory to engineering faces constraints including data quality, model generalization, and implementation. This paper provides an analytical framework combining predictive capability with engineering reliability for sludge treatment optimization.

Read Full Abstract10.13205/j.hjgc.202607022

Calcium-free nanomaterials-mediated calcium overloading for cancer therapy

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SCIENCE CHINA Materials2026

Calcium-free nanomaterials-mediated calcium overloading for cancer therapy

Disrupting calcium ions (Ca2+) homeostasis to induce calcium overloading has emerged as a promising strategy for cancer therapy. However, calcium overloading based on exogenous calcium salts (such as calcium carbonate and calcium peroxide) can easily lead to off-target Ca2+ release, causing severe side effects such as hypercalcemia and cardiac or renal dysfunction. This review explores the calcium-free nanomaterials for mediating targeted calcium dysregulation in tumors. These nanomaterials function not by carrying Ca2+ but by precisely regulating endogenous calcium signaling pathways. They promote massive Ca2+ influx through targeted activation of calcium channels and/or inhibit Ca2+ efflux by suppressing pumps, effectively triggering intracellular calcium accumulation. Such a strategy efficiently induces mitochondrial dysfunction, endoplasmic reticulum stress, and immunogenic cell death, thereby inhibiting tumor growth and metastasis while potentiating antitumor immunity. We systematically summarize the design principles, mechanisms of action, and therapeutic applications of these calcium-free nanoplatforms, highlighting their potential to overcome the limitations of traditional therapies and boost ion-interference-based cancer treatment.

Read Full Abstract10.1007/s40843-025-3904-6

Progressive insights into nanomaterials for cancer starvation therapy

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SCIENCE CHINA Materials2026

Progressive insights into nanomaterials for cancer starvation therapy

Starvation therapy (ST) aims to hinder the rapid proliferation of cancer cells by depriving oxygen and nutrients, and has been considered an ideal approach for cancer treatment. However, traditional ST schemes suffer from low targeting efficacy, undesired systemic side effects, elevated tumor hypoxia, induced drug resistance, and increased tumor metastasis risk, limiting clinical applications. To overcome these challenges, numerous nanomedicines have been engineered to advance ST-driven anti-tumor therapy. This review highlights emerging breakthroughs at the intersection of ST, nanotechnology, and cancer treatment. It focuses on ST-related inducible strategies, including nutrient supply regulation, key nutrient deprivation, and emerging approaches. Furthermore, it underscores the synergistic benefits of combining ST with other therapeutic modalities such as phototherapy, chemodynamic therapy, chemotherapy, ferroptosis, gas therapy, and immune therapy. Finally, existing challenges and future perspectives on clinical ST of tumors are discussed.

Read Full Abstract10.1007/s40843-025-3988-6

Recent Advances in Two-Dimensional Nanomaterials for the Treatment of Liver Fibrosis

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SCIENCE CHINA Materials2026

Recent Advances in Two-Dimensional Nanomaterials for the Treatment of Liver Fibrosis

Liver fibrosis, a critical pathological consequence of chronic liver injury, remains a therapeutic challenge due to its complex mechanisms and limited effectiveness of conventional treatments. Recent advancements in two-dimensional (2D) nanomaterials, such as graphene derivatives, transition metal dichalcogenides (TMDs), black phosphorus nanosheets (BPNSs), MXenes, and layered double hydroxides (LDHs), have created novel opportunities for antifibrotic therapy. These materials exhibit exceptional physicochemical properties, including ultrahigh surface area, tunable surface chemistry, biocompatibility, and photothermal/electrochemical functionalities, enabling multifaceted interventions in fibrosis progression. The core therapeutic strategies mainly involve modulating hepatic stellate cells (HSCs) activation, inhibiting excessive extracellular matrix (ECM) deposition, and alleviating oxidative stress and inflammatory responses. However, 2D nanomaterials still face great challenges, such as long-term biosafety, precise functionalization for tissue-specific targeting, and scalable synthetic methods. This review systematically summarizes the recent breakthroughs in anti-fibrosis strategies based on 2D nanomaterials, elucidates their potential mechanisms of action, and explores the prospects for clinical translation of these nanoplatforms. Serving as a nexus between materials science and hepatology, 2D nanomaterials offer revolutionary prospects for precision medicine applications in hepatic fibrosis management.

Read Full Abstract10.1007/s40843-025-4010-4

Bioinspired Soft Robots Based on Liquid Crystal Elastomers: From Multimodal Actuation to Functional Integration

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SCIENCE CHINA Materials2026

Bioinspired Soft Robots Based on Liquid Crystal Elastomers: From Multimodal Actuation to Functional Integration

Liquid crystal elastomers (LCEs) have emerged as a promising material platform for soft robotics, effectively integrating programmable molecular orientation with the inherent flexibility of elastomers. This unique combination enables significant, reversible deformations responding to external stimuli, including heat, light, electric, and magnetic fields. Due to these characteristics, LCEs serve as an ideal material system for bridging biological principles with engineered soft robotic applications, enabling the development of adaptive and multifunctional systems with enhanced biomimetic capabilities. However, the mechanisms of bioinspired motion and the effective integration of biomimetic functions in LCE-based robots remain insufficiently explored. This review systematically examines recent advances in LCE-based biomimetic soft robots, focusing on multimodal actuation strategies, including contraction, crawling, rolling, jumping, swimming, and plant-inspired motions. It highlights integrated functional enhancements achieved via innovative material compositions, structural designs, and advanced manufacturing techniques. These developments have enabled novel robotic functionalities, including programmable actuation, self-healing and recycling, color morphing and camouflage, and tunable bioinspired surface characteristics.

Read Full Abstract10.1007/s40843-025-3965-5

Controllable Structurally Randomized Cu Mesh Films for EMI-Shielded Optical Windows with Slight Imaging Quality Degradation

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SCIENCE CHINA Materials2026

Controllable Structurally Randomized Cu Mesh Films for EMI-Shielded Optical Windows with Slight Imaging Quality Degradation

This work presents a cracked template and vacuum metal evaporation strategy for fabricating structurally randomized copper (Cu) mesh films. Regulating the internal stress distribution within the coating during template cracking enables controlled fabrication of Cu mesh films with varying discrete degrees of mesh aperture area and distinct probability distributions of metal line inclination. The influence of structural parameter randomization on properties was systematically investigated, encompassing higher-order diffraction energy homogenization, optoelectronic performance, and electromagnetic interference shielding effectiveness (EMI SE). Results demonstrate that increasing structural randomization effectively suppresses higher-order diffraction energy, achieving a reduction to −3.93 dB in normalized higher-order diffraction energy. Furthermore, the Cu mesh film exhibited minimal degradation on imaging system performance, with resolution decreasing only marginally from 80.6 to 71.8 lp/mm. Simultaneously, the most randomized Cu mesh film demonstrates an ultra-low sheet resistance (3.31 Ω/sq), high visible light transmittance (88.7% at 550 nm), an exceptional figure of merit (FoM=913.69), and robust EMI SE within the X-band (average SE of 33.18 dB). These findings underscore that metal mesh films incorporating structural randomization offer an effective strategy for enhancing EMI shielding in high-performance optoelectronic imaging systems.

Read Full Abstract10.1007/s40843-025-3901-2

Near-Perfect Light-Capture Materials with High Environmental Stability

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SCIENCE CHINA Materials2026

Near-Perfect Light-Capture Materials with High Environmental Stability

Cross-wavelength near-perfect light capture technology is crucial in various fields, including spectroscopy, energy conversion, and electromagnetic control. Nevertheless, the primary challenge in broadband absorption is effectively coordinating the intrinsic response behavior of various electromagnetic waves across the nanometer-centimeter scale when interacting with matter. By adopting a multi-scale structural design strategy, the carbon-zirconium heterointerface is integrated into the macroscopic periodic unit cell (PUC) to develop an ultra-wideband light capture material. The optical coupling effect, strengthened by electronic transitions, molecular motion, and spatial scattering effects, endows ZC-PUC with exceptional light-capture performance ranging from ultraviolet to microwave frequencies. Specifically, the ZC-PUC absorber possesses a near-perfect absorption rate of 95.7% across the ultraviolet-visible-infrared spectrum (190–2500 nm), and an effective absorption coverage of 99.99% in the microwave and terahertz bands (1997.9 GHz). More importantly, the as-prepared material maintains the morphology structure and physical phase even when exposed to an alkaline or acidic environment for 365 days and simultaneously possesses stable light capture properties. The easily scalable approach retains excellent structural stability and ultra-wideband light trapping capability under extreme conditions, offering a versatile platform for the development of next-generation devices.

Read Full Abstract10.1007/s40843-025-3903-4

Phase-Purity Engineering in Quasi-2D Perovskites for Amplified Spontaneous Emission

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SCIENCE CHINA Materials2026

Phase-Purity Engineering in Quasi-2D Perovskites for Amplified Spontaneous Emission

Solution-processable quasi-2D perovskites are promising laser gain media due to their high exciton binding energy and improved stability relative to 3D counterparts. However, conventional synthesis yields mixed n-value phases, introducing interfacial defects and energetic disorder that impede charge injection into desired emission centers. Here, we report the first demonstration of stimulated emission from a phase-pure quasi-2D perovskite (n=8) achieved via a solvent-sieving method for selective phase removal. This dynamic purification yields near-unity phase purity (99.85%) with no detectable low-n phases, as confirmed by X-ray diffraction and ultraviolet-visible spectroscopy. The phase-pure film exhibits a narrower and more intense (001) diffraction peak (FWHM 0.16 nm, intensity 16,129) compared to pristine films (FWHM 0.22 nm, intensity 3,304), indicating enhanced crystallinity and increased grain size. Time-resolved photoluminescence reveals a prolonged carrier lifetime of 6.98 ns, suggesting reduced trap density. Atomic force microscopy shows a nearly pinhole-free surface with root mean square roughness of 1.18 nm. Consequently, the amplified spontaneous emission threshold is reduced to 13.82 μJ cm−2, a 12.5% improvement over conventional mixed-phase films (15.8 μJ cm−2). This work provides an efficient route to pure-phase quasi-2D perovskites for low-threshold lasers.

Read Full Abstract10.1007/s40843-025-3981-7

Intercalation-Engineered MOF for Ultrasensitive Ratiometric Fluorescent Sensing of Enoxacin

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SCIENCE CHINA Materials2026

Intercalation-Engineered MOF for Ultrasensitive Ratiometric Fluorescent Sensing of Enoxacin

The escalating global challenge of antibiotic contamination demands advanced sensing technologies for environmental monitoring and public health protection. Here, we present a structurally well-defined, intercalation-engineered metal-organic framework (MOF), HSB-W18, which functions as an ultrasensitive and selective fluorescence sensor for fluoroquinolone antibiotics. Single-crystal X-ray diffraction analysis unambiguously determined both the framework architecture and the spatial organization of intercalated 2,5-dihydroxyterephthalate molecules at atomic resolution. Through ultrasound-assisted synthesis, highly stable book-shaped microsheets (HSB-W18-MS) were obtained, maintaining exceptional aqueous dispersibility and luminescence intensity for over one month. These microsheets offer distinct advantages for antibiotic detection: specific recognition of diverse fluoroquinolones via unique fluorescence signatures; highly sensitive ratiometric detection of enoxacin (ENX) with a limit of detection (LOD) of 5.62 nM and rapid response kinetics (<30 s); exceptional selectivity alongside reusability. Systematic mechanistic investigations revealed a synergistic detection process involving multiple photophysical pathways. Furthermore, a smartphone-based portable detection system was successfully implemented, and the practical utility of the sensor was validated by quantifying ENX in complex environmental samples: tap water LOD = 18.32 nM and river water LOD = 29.87 nM. This study contributes to fundamental materials science and environmental monitoring by elucidating discernible structure-property relationships in intercalated MOFs, demonstrating a robust platform for field-deployable antibiotic detection and proposing an innovative design paradigm for environmental optical sensors.

Read Full Abstract10.1007/s40843-025-3917-x