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Showing 24 of 1398 peer-reviewed translated articles (Page 40 of 59)

Charge Homogeneity Redefines Ion Selectivity in Polyamide MembranesGraphical AbstractVerified
SCIENCE CHINA Materials2026

Charge Homogeneity Redefines Ion Selectivity in Polyamide Membranes

Ion-selective membranes are critical for water purification, resource recovery, and energy storage. Polyamide (PA) nanofiltration (NF) membranes are the gold standard, with size sieving and charge repulsion as fundamental mechanisms. However, the role of surface charge distribution has been overlooked. A groundbreaking study in Nature Water reveals that nanoscale spatial charge homogeneity, not pore size distribution, is the key determinant of ion selectivity. Using multimodal atomic force microscopy (AFM) techniques, including Kelvin probe force microscopy (KPFM) and electrostatic force microscopy (EFM), the authors mapped surface charge of commercial NF270 and NF90 membranes. NF270, despite looser pores, exhibited a Cl−/SO4^2− selectivity nearly tenfold higher than NF90, correlating with a more homogeneous charge distribution. AFM-infrared spectroscopy (AFM-IR) showed uniform carboxyl group (–COOH) distribution on NF270, while NF90 had patchy, structure-dependent distribution, creating defects for ion leakage. Molecular dynamics simulations confirmed SO4^2− ions preferentially localize in regions lacking –COOH. The authors translated this insight into a polyethyleneimine multivariate (PEI-MTV) strategy to program homogeneous positive charge on PA membranes for cation separation. Comparing grafting routes, EDC/NHS-catalyzed amidation yielded the most homogeneous charge distribution and highest charge density, achieving exceptional Li+/Mg2+ separation performance. This work establishes a transformative design principle for highly selective membranes via nano-charge manipulation, bypassing precise pore size control.

Read Full Abstract10.1007/s40843-025-3765-9
Electro-activated Dual-Affinity Membranes for PFAS-Free Drinking Water: A Paradigm Shift in Separation TechnologyGraphical AbstractVerified
SCIENCE CHINA Materials2026

Electro-activated Dual-Affinity Membranes for PFAS-Free Drinking Water: A Paradigm Shift in Separation Technology

Per- and polyfluoroalkyl substances (PFAS), known as 'forever chemicals,' pose significant environmental and health risks due to their extreme persistence. Chronic exposure, even at low levels, is linked to cancers, thyroid disruption, immune suppression, and developmental issues. In 2024, the US EPA set maximum contaminant levels of 4 ng/L for PFOA and PFOS in drinking water, necessitating advanced treatment technologies. Existing methods include non-destructive adsorption and ion-exchange, which require high adsorbent doses and generate secondary waste, and destructive methods like chemical oxidation and photocatalysis, which are energy-intensive and slow. Membrane processes such as nanofiltration (NF) and reverse osmosis (RO) are effective but demand high operating pressures and frequent maintenance. Liu et al. recently reported in Nature Water an electro-activated dual-affinity membrane (ADM) integrating hydrophobic and electrostatic binding sites on a polypyrrole (PPy) functional layer. By applying a short positive potential, chloride ions (Cl−) and dioctyl sulfosuccinate (AOT) are oriented to create complementary adsorption domains: Cl− provides electrostatic sites for sulfonic/carboxyl groups, while AOT introduces hydrophobic domains for fluorinated carbon chains. The ADM achieves high removal rates for PFOA, PFOS, and PFNA under low operating pressures, with a water permeability of 288 L/(m2 h bar), outperforming commercial NF membranes. Electrochemical regeneration by potential reversal enables long-term operation. Molecular dynamics simulations and energy decomposition analyses reveal synergy between electrostatic and hydrophobic interactions, lowering free energy for adsorption. Scalability was demonstrated with large-area membranes (625 cm2) assembled into modules treating liters per hour, maintaining consistent PFAS removal.

Read Full Abstract10.1007/s40843-025-3758-y
Solvent-Relay Electrolyte Design for Safe, Long-Life Lithium BatteriesGraphical AbstractVerified
SCIENCE CHINA Materials2026

Solvent-Relay Electrolyte Design for Safe, Long-Life Lithium Batteries

Lithium-ion batteries (LIBs) with high energy density are essential for electric vehicles and energy storage, but their adoption is hindered by safety and longevity trade-offs. Electrolyte engineering is critical to address these challenges. Weakly solvating electrolytes enhance anode interphase stability and safety by promoting ion association and reducing flammable solvents, yet they exacerbate thermal runaway due to ion association lowering the energy barrier for exothermic anion decomposition. Lu and coworkers demonstrated that pronounced ion association reduces the onset temperature of exothermic reactions by approximately 94 °C across over 20 electrolyte systems. To mitigate this, a solvent-relay strategy was developed: a temperature-sensitive 'passing solvent' promotes ion association at ambient temperature, forming a robust SEI and enhancing cycle life, while a temperature-insensitive 'receiving solvent' accepts Li+ at elevated temperatures, promoting dissociation and suppressing exothermic reactions. This design was validated in a 4.5-V graphite-NCM811 pouch cell (1.1 Ah), which delivered 1,000 cycles at 0.45 C, retaining ~81.9% capacity over 4,100 hours. The solvent-relay approach decouples SEI formation from thermal stability, offering a pathway to safe, long-life high-energy LIBs.

Read Full Abstract10.1007/s40843-025-3852-9
Flight Parameter Detection via a Pressure-Velocity Fusion Algorithm with a Flexible Sensing PatchGraphical AbstractVerified
SCIENCE CHINA Materials2026

Flight Parameter Detection via a Pressure-Velocity Fusion Algorithm with a Flexible Sensing Patch

Precise measurement of flight parameters—including angle of attack (AOA), angle of sideslip (AOS), and airspeed—is critical for stabilized control of unmanned aerial vehicles (UAVs) in complex aerodynamic environments. Conventional rigid sensors fail to conform to curved leading edges, disrupting local flow and degrading aerodynamic performance, and are ill-suited for UAV miniaturization. Emerging flexible sensing technologies using hot-film, piezoresistive, or capacitive transduction offer potential solutions. This work presents a flexible pressure-velocity sensing patch developed by Professor Jiang's team at Beihang University. The patch integrates a capacitive differential pressure sensor array and a vector flow sensor, fabricated via a multi-layer polyimide bonding process. The capacitive differential pressure sensor features dual-layer chambers, achieving a resolution of 12 mPa within 0–1 Pa, superior to traditional single-layer designs. The vector flow sensor operates on the calorimetric principle, using a micro-heater and thermistor array to characterize flow velocity and direction. A novel pressure-velocity fusion (PVF) algorithm introduces spanwise velocity (Vz) to decouple AOA and AOS, reducing computational complexity compared to classic three-sensor algorithms. Computational fluid dynamics (CFD) simulations validated the algorithm's reliability under wind tunnel conditions. The sensing patch enables simultaneous measurement of multiple flight parameters with high precision and low computational cost, addressing the limitations of rigid sensors and advancing UAV aerodynamic sensing.

Read Full Abstract10.1007/s40843-025-3866-y
Next-generation PBI-based ISMs: game changer of low-alkali water electrolysisGraphical AbstractVerified
SCIENCE CHINA Materials2026

Next-generation PBI-based ISMs: game changer of low-alkali water electrolysis

Water electrolysis is a promising method for producing green hydrogen from renewable energy sources. The mainstream membrane-based water electrolysis technologies include proton exchange membrane water electrolysis (PEMWE), alkaline water electrolysis (AWE), and anion exchange membrane water electrolysis (AEMWE). Each technology has inherent limitations: PEMWE requires expensive platinum group metal catalysts and fluorinated membranes; AWE uses porous diaphragms, limiting operational window and differential pressure capability; AEMWE suffers from quaternary ammonium group degradation under alkaline conditions. Ion-solvating membranes (ISMs), dense polymeric membranes with solvation sites that absorb aqueous alkaline electrolytes, offer an alternative. Most ISMs are based on polybenzimidazole (PBI), but achieving high efficiency at low alkali concentrations remains a bottleneck. Introducing sulfonic acid moieties into PBI enhances water and KOH uptake, improving conductivity, but alkali stability often requires crosslinking, which hampers scale-up. Henkensmeier et al. adapted sulfonated polybenzimidazole (SPBI) membranes originally for PEM fuel cells to ISMWE. By copolymerizing sulfonated and non-sulfonated monomers, they created a series of SPBI membranes with varying sulfonation degrees. The sulfonated segments boost electrolyte uptake and conductivity, while non-sulfonated units ensure alkali resistance and mechanical stability. Deprotonated benzimidazole rings increase electron density on ether carbons, enhancing stability in basic environments. The 50SOPBI-act membrane exhibited promising performance, with record ionic conductivity of 135 mS cm−1 at room temperature and 358 mS cm−1 at 80 °C in 1 M KOH, outperforming existing AEMWE and ISMWE systems.

Read Full Abstract10.1007/s40843-025-3797-2
Correction to: Flexible electrostatic hydrogels from marine organism for nitric oxide-enhanced photodynamic therapy against multidrug-resistant bacterial infectionGraphical AbstractVerified
SCIENCE CHINA Materials2026

Correction to: Flexible electrostatic hydrogels from marine organism for nitric oxide-enhanced photodynamic therapy against multidrug-resistant bacterial infection

This correction addresses an inadvertent misplacement of Fig. 4b3 during figure reorganization in the original article published in Science China Materials, volume 65, issue 10, 2022, page 2850 (DOI: 10.1007/s40843-022-2024-6). The corrected Fig. 4b is presented herein. The authors confirm that this correction does not affect the results, conclusions, text, or figure caption of the original work. The correction was requested by the authors and received on 6 January 2026, accepted on 8 January 2026, and published online on 10 February 2026. The original study introduced flexible electrostatic hydrogels derived from marine organisms for nitric oxide-enhanced photodynamic therapy against multidrug-resistant bacterial infections. The correction ensures the accurate representation of experimental data, maintaining the integrity of the scientific record.

Read Full Abstract10.1007/s40843-026-3961-8
In-sensor computing breakthrough enables efficient tactile information acquisitionGraphical AbstractVerified
SCIENCE CHINA Materials2026

In-sensor computing breakthrough enables efficient tactile information acquisition

The convergence of artificial intelligence, Internet of Things, and soft electronics has advanced tactile perception in flexible electronic skins, enabling applications in robotics, healthcare, and human-machine interfaces. However, conventional tactile sensing architectures separate sensing and processing, requiring analog-to-digital converters and data transfer to microcontrollers, which is energy-intensive and introduces latency. In-sensor computing integrates sensing and processing, reducing power consumption and enabling in-situ analog operations such as multiplication-accumulation (MAC) for artificial neural networks. Wang et al. developed a capacitive in-sensor tactile computing system combining a flexible pressure sensor array with electrical switching networks and a fixed capacitor to perform MAC operations in the charge domain. The sensor unit uses an ionic dielectric layer of PVA/H3PO4 prepared via sandpaper-templated molding, sandwiched between Au electrodes on waterborne polyurethane substrates, achieving high sensitivity of 0.36 nF/kPa and excellent stability. A 3×3 kernel of sensors with programmable bias voltages implements averaging and Laplacian filters for noise reduction and edge detection, validated experimentally. The system processes binary and analog tactile stimuli, with output voltage scaling proportionally with pressure. This in-sensor computing approach addresses energy and latency bottlenecks, offering a pathway for real-time, power-constrained e-skin applications in autonomous robotics, prosthetics, and intelligent interfaces.

Read Full Abstract10.1007/s40843-025-3847-5
Carbon Emission Accounting Method for Ultra-High Voltage Transmission Line Construction Considering Carbon Intensity and Activity Data UncertaintyGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Carbon Emission Accounting Method for Ultra-High Voltage Transmission Line Construction Considering Carbon Intensity and Activity Data Uncertainty

Ultra-high voltage (UHV) transmission lines are critical infrastructure for China's energy strategy. Compared with conventional voltage lines, UHV lines exhibit nonlinear growth in resource and capital consumption, complex supply chains, and strong spatiotemporal heterogeneity in carbon emission factors, resulting in substantial and uncertain construction-phase emissions. Accurate accounting is essential for achieving carbon peaking and carbon neutrality goals in the power sector. To address issues of ambiguous system boundaries, weak characterization of input parameter uncertainty, and poor cross-year applicability of input-output carbon intensities, this study defines the accounting boundary using budget quotas and develops a hybrid life cycle assessment (HLCA) model. For easily traceable emission sources, process-based LCA (PLCA) is applied, with uncertainty analysis via distribution fitting and Monte Carlo simulation. For difficult-to-trace sources, input-output LCA (IO-LCA) is used with carbon intensity correction. A case study of a ±800 kV transmission line yields a construction-phase carbon emission intensity of 1,858.91 t·km⁻¹ (CO₂ equivalent), with a 95% confidence interval of [1,379.73, 2,486.45] t·km⁻¹. Sobol global sensitivity analysis identifies key emission reduction pathways. The method's validity is confirmed by comparison with existing studies, providing quantitative support for low-carbon design, construction optimization, and carbon auditing of UHV projects.

Read Full Abstract10.12030/j.cjee.202511047
Spatiotemporal Variation Characteristics of Coal Dust Pollution in the Baorixile Mining AreaGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Spatiotemporal Variation Characteristics of Coal Dust Pollution in the Baorixile Mining Area

Coal dust from open-pit mining severely impacts the mining area and surrounding environment, exhibiting significant dynamic changes. However, quantitative assessments of the pollution extent and multi-timescale evolution remain insufficient. Based on the Google Earth Engine platform and Landsat TM/ETM+/OLI/OLI-2 and Sentinel-2 MSI imagery from 2001 to 2024, we retrieved the enhanced coal dust index (ECDI) and coal dust pollution levels. Combined with the mine lifecycle stages, we revealed the temporal and spatial variations of coal dust in the Baorixile mining area. Annual and monthly remote sensing retrievals were stacked to construct multi-year and intra-annual dust impact frequency (DIF) indicators, precisely quantifying the spatial extent and frequency of coal dust pollution. Results show that from 2001 to 2024, the interannual coal dust pollution experienced three stages: fluctuating increase, significant decrease, and stabilization. The average pollution degree peaked at 0.41 in 2010 and remained between 0.18 and 0.22 from 2016 to 2024. The spatial pattern improved, converging from widespread diffusion to the open-pit and bare coal accumulation areas. From 2019 to 2023, intra-annual pollution increased then decreased, with summer most severe, followed by autumn, spring, and winter. Based on annual retrievals, 6 periods of multi-year DIF (2001-2024) were generated at 4-year intervals. The maximum impact range (DIF≥1) first expanded then contracted significantly; the perennial impact area (DIF=4) shifted from the southeast to the central-western open-pit, indicating a notable migration of dust disturbance gravity and effective control. Based on monthly retrievals, 6 periods of intra-annual DIF (2019-2024) were generated at 12-month intervals. The intra-annual DIF showed a gradient decreasing from the core operation area to the periphery. High-frequency zones (DIF≥9) were stably concentrated in the open-pit. The affected area fluctuated downward from 88.14 km² in 2019 to 72.84 km² in 2024. This study provides theoretical and data support for scientifically understanding and monitoring the ecological status of mining areas and formulating dust suppression measures.

Read Full Abstract10.12030/j.cjee.202502081
Removal Efficiency of Emerging Contaminants in Wastewater Treatment Plant Effluent by Gravel-Based Constructed WetlandsGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Removal Efficiency of Emerging Contaminants in Wastewater Treatment Plant Effluent by Gravel-Based Constructed Wetlands

Wastewater treatment plant (WWTP) effluent is a significant pathway for emerging contaminants (ECs) to enter natural water bodies. This study investigated the removal of ECs by two field-scale gravel-based constructed wetlands: a horizontal subsurface flow constructed wetland (QL-CW) and a surface flow constructed wetland (BL-CW), both treating actual WWTP effluent. The influence of operation mode and wetland plant type on EC removal was examined. Using liquid chromatography-mass spectrometry, principal component analysis, and ecological risk assessment, the removal efficiencies and mechanisms for various ECs were explored. In QL-CW, biodegradation was more pronounced, particularly via ammonia-oxidizing bacteria co-metabolism, favoring ECs with benzyl, secondary amine, secondary amide, tertiary amide, halogenated, and carboxyl functional groups. In BL-CW, electrostatic attraction and hydrophobic interactions were more significant, with plant and root-microorganism uptake and adsorption playing key roles. Surface flow mode achieved significantly higher removal of antibiotics (45.3% vs. 34.1%) compared to horizontal subsurface flow, while no significant differences were observed for non-antibiotic pharmaceuticals (66.6% vs. 64.4%) and pesticides (49.8% vs. 34.2%). Planting Cyperus alternifolius (windmill grass) was more beneficial for antibiotic removal (43.6% vs. 30.1%) than planting Ipomoea aquatica (water spinach). The wetlands effectively reduced the ecological risks of most ECs to marginal levels. This study provides insights into the deep treatment of ECs in WWTP effluent by constructed wetlands.

Read Full Abstract10.12030/j.cjee.202510060
Research Progress on Combined Stress Effects of Secondary Water Pollution from Tailings Dam Leakage on Aquatic OrganismsGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Research Progress on Combined Stress Effects of Secondary Water Pollution from Tailings Dam Leakage on Aquatic Organisms

Tailings dam leakage can cause secondary sudden water pollution events, imposing severe combined stress of high turbidity and heavy metal contamination on natural water bodies within a short period, threatening aquatic ecological security. Existing studies have systematically revealed the pollution characteristics and biological effects of such events, which are fundamentally distinct from natural high-turbidity water and industrial wastewater leakage. Compared with natural high-turbidity water, tailings leakage inputs finer particles with higher specific surface area, leading to more intense and prolonged turbidity stress. Meanwhile, heavy metals in tailings are more enriched than natural sediments, with higher proportions of active forms and bioavailability, causing significant bioaccumulation and toxic effects, and long-term decline in benthic community species richness. Compared with industrial wastewater leakage, tailings leakage simultaneously releases high concentrations of fine suspended solids and multiple heavy metals, forming a unique 'physical-chemical' combined stress. This synergistic effect amplifies biological toxicity through multiple pathways such as mechanical damage, light limitation, and oxidative stress, resulting in severe and often irreversible ecological damage, such as impaired fish swimming behavior and collapse of benthic community structure. Analyzing the long-term impacts of tailings leakage on aquatic ecosystems from the perspective of combined stress is helpful for providing scientific basis for emergency response and medium-to-long-term ecological risk prevention of related sudden water pollution events.

Read Full Abstract10.12030/j.cjee.202511003
Source Apportionment and Driving Factors of Heavy Metal Pollution in Paddy Soils Around a Mining Area Using PMF and XGBoost-SHAP ModelsGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Source Apportionment and Driving Factors of Heavy Metal Pollution in Paddy Soils Around a Mining Area Using PMF and XGBoost-SHAP Models

Identifying the sources and driving factors of heavy metals (HMs) in paddy soils around mining areas is crucial for safeguarding regional agricultural production and food security. This study focused on paddy soils near a mining area in southern Jiangxi Province, integrating Spearman correlation analysis, positive matrix factorization (PMF), and extreme gradient boosting (XGBoost) coupled with SHapley Additive exPlanations (SHAP) to quantitatively apportion potential ecological risks, pollution sources, and driving factors. Results showed that mean concentrations of Pb, Ni, and Cu exceeded the soil background values of Jiangxi Province, except for Cr. The mean comprehensive potential ecological risk index (RI) was 17.4, with 25.7% of sampling sites exhibiting moderate risk, and Ni being the primary ecological risk factor. Source apportionment identified three main sources: natural background (51.1%), industrial and mining activities (26.6%), and a mixed source of agricultural activities and traffic emissions (22.3%). Spatial variation of Cr, Cu, and Ni was predominantly governed by soil physicochemical properties (Fe and P contents), whereas Pb distribution was significantly influenced by industrial and mining activities. The combination of PMF and XGBoost-SHAP effectively delineated sources and driving factors, providing a scientific basis for targeted soil management and pollution control in mining-affected agricultural regions.

Read Full Abstract10.12030/j.cjee.202511087
Effects of Different Fertilization Treatments on Soil Nutrient Availability and Microbial Response Mechanisms in the Baiyinhua Open-Pit Mining AreaGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Effects of Different Fertilization Treatments on Soil Nutrient Availability and Microbial Response Mechanisms in the Baiyinhua Open-Pit Mining Area

Open-pit coal mining causes severe soil nutrient depletion, limiting vegetation restoration. This study, conducted in the Baiyinhua No.2 mining area (Inner Mongolia), evaluated the effects of different fertilization strategies on soil nitrogen (N) and phosphorus (P) availability and microbial community responses. A field experiment was established in May 2023 with five treatments: low (L), medium (M), and high (H) phosphorus inorganic fertilizers, green manure (GM), and a microbial fertilizer (MF) containing nitrogen-fixing and rhizobia bacteria, compared to a control (CK). Results showed that MF significantly increased total carbon (TC) from 8.47 to 10.17 g·kg⁻¹ and total nitrogen (TN) from 0.37 to 0.56 g·kg⁻¹, while H significantly increased available phosphorus (AP) from 9.78 to 26.28 mg·kg⁻¹. Both treatments significantly altered fungal community structure, with increased relative abundances of Gibberella and Alternaria. The study concludes that MF and H improve soil nutrient availability by modulating fungal communities, with MF offering a sustainable biological approach for mine reclamation. These findings provide targeted fertilization strategies for restoring degraded mining soils and advancing green mining practices.

Read Full Abstract10.12030/j.cjee.202505106
Chitosan Coupled with Electroflotation for Phosphorus Recovery from Eutrophic Taihu Lake WaterGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Chitosan Coupled with Electroflotation for Phosphorus Recovery from Eutrophic Taihu Lake Water

Algal-derived phosphorus (P) constitutes a significant fraction in eutrophic lakes, with particulate phosphorus (PP) serving as both a major internal P reservoir and a potential target for P resource recovery. This study proposed a chitosan-coupled electroflotation (CEF) technology for efficient enrichment and recovery of algal-derived P from high-algal water. Using Taihu Lake algae-laden water as the test medium, the effects of chitosan dosage and voltage on the enrichment of different P fractions were systematically evaluated. Results showed that the optimal P enrichment was achieved at a chitosan dosage of 15 mg·L−1, and higher voltages further enhanced the enrichment efficiency. Under optimal conditions, PP accounted for 83.57% of the enriched P, indicating a strong capability for particulate P capture. The mechanism involved chitosan-induced flocculation via charge neutralization and sweep flocculation, while higher voltages increased the positive charge density of chitosan molecules, enhancing charge neutralization and electroflotation. In P release experiments, open conditions significantly promoted the transformation of PP to dissolved P, whereas closed conditions inhibited this process. Additionally, chitosan's antibacterial action and physical retention effectively limited P release. Compared with conventional metal salt coagulants, this method avoids metal ion residues, offering high environmental safety and providing a green and feasible approach for the harmless disposal and resource utilization of algal-derived P in eutrophic lakes.

Read Full Abstract10.12030/j.cjee.202509036
Synergistic Remediation of Aged Oil-Contaminated Soil by Plants and Degrading Microbial ConsortiumGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Synergistic Remediation of Aged Oil-Contaminated Soil by Plants and Degrading Microbial Consortium

This study investigated the synergistic remediation of aged oil-contaminated soil collected from an oil well in Yanchang, northern Shaanxi, China, with an initial total petroleum hydrocarbon (TPH) concentration of 17.1 g·kg⁻¹, exceeding the second-class land use screening value (4,500 mg·kg⁻¹) by approximately 3.8-fold. Indigenous high-efficiency degrading strains were screened and a microbial consortium was constructed. Pot experiments were conducted to compare the TPH degradation efficiencies and soil property changes under plant, microbial, and combined plant-microbial remediation. The consortium MC-5 (SDB1:SDB2:SDB3:SDB4 = 1:1:0:3) exhibited the highest TPH degradation rate of 83.46% in liquid culture. In soil, combined remediation with ryegrass (Lolium perenne) achieved a TPH degradation rate of 60.93%, significantly higher than the control (CK) by 54.26 percentage points. The consortium also degraded recalcitrant resins and asphaltenes by 49.44%. The microbial consortium played a dominant role, contributing 63%–69% to TPH removal, whereas plant contribution was only 2%–12%, primarily in the later stage. Addition of rhamnolipid biosurfactant enhanced the combined remediation, increasing TPH degradation by 7.05 percentage points compared to non-amended treatments. These findings provide insights into the mechanisms of plant-microbial synergy and offer theoretical and practical guidance for bioremediation of petroleum-contaminated soils.

Read Full Abstract10.12030/j.cjee.202505104
Research Progress and Prospects of Aboveground-Belowground Synergistic Restoration Principles and Technologies for Degraded Ecosystems in Open-Pit Mines in High-Cold RegionsGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Research Progress and Prospects of Aboveground-Belowground Synergistic Restoration Principles and Technologies for Degraded Ecosystems in Open-Pit Mines in High-Cold Regions

Open-pit mining in high-cold regions causes severe ecological degradation, including vegetation loss, soil structure destruction, and frequent freeze-thaw disturbances, complicating ecosystem recovery. This review systematically synthesizes the current status, theories, and key restoration technologies for degraded ecosystems in high-cold mining areas. Comparative analysis with typical high-cold degraded ecosystems worldwide reveals that high-cold mining areas face challenges such as frequent freeze-thaw cycles, hydrological disruption, wind erosion, and difficult vegetation establishment. We propose strengthening aboveground-belowground synergistic restoration: (1) aboveground restoration should focus on screening cold-resistant native plants and optimizing mixed community configurations, combined with plant growth-promoting multi-microbial consortia to facilitate vegetation recovery; (2) belowground restoration should be based on engineering soil profile reconstruction, integrating physical-chemical-biological multi-dimensional remediation techniques to achieve aboveground and belowground community reconstruction and functional recovery; (3) a progressive restoration framework is established, with short-term goals targeting soil stabilization and structure improvement, medium-term goals focusing on constructing multifunctional plant-soil communities, and long-term goals achieving self-sustaining, maintenance-free restored ecosystems. Finally, addressing the unclear mechanisms of aboveground-belowground synergistic interactions and insufficient environmental adaptability of restoration technologies, two prospects are proposed: (1) deepening research on aboveground-belowground synergistic mechanisms to reveal interactions between cold-tolerant microorganisms and plants; (2) advancing the development of characteristic restoration technologies adapted to high-cold environments.

Read Full Abstract10.12030/j.cjee.202505108
Drought Resistance Evaluation of Dominant Species in Inner Mongolia Desert Steppe During Seed GerminationGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Drought Resistance Evaluation of Dominant Species in Inner Mongolia Desert Steppe During Seed Germination

This study evaluated the drought resistance of seven dominant plant species from the Inner Mongolia desert steppe during seed germination to identify suitable species for ecological restoration of arid mining dumps. Seeds were subjected to soil moisture gradients ranging from 2.56% to 12.77% to simulate drought stress. Germination percentage, growth parameters, germination index, simplified vigor index, and drought resistance index were measured. A multi-dimensional evaluation system was constructed using the membership function method. Results showed that with increasing water stress, germination parameters generally declined nonlinearly. Under severe drought (soil moisture 5.11%), Lolium perenne and Melilotus officinalis exhibited significantly higher germination rates than other species (P<0.05). Comprehensive evaluation ranked drought resistance as: Lolium perenne > Melilotus officinalis > Setaria viridis > Elymus dahuricus > Medicago sativa > Astragalus adsurgens > Artemisia oxycephala. These findings indicate that Lolium perenne, Melilotus officinalis, and Setaria viridis possess strong drought resistance and can serve as pioneer species for vegetation reconstruction in mining areas. Furthermore, a soil moisture content of 5.11% (40% of field capacity) was identified as the lower threshold for seed germination, providing a quantitative basis for water management in arid mining ecological restoration.

Read Full Abstract10.12030/j.cjee.202505103
Diffusion Coefficient and Microbial Community Structure Dynamics During Acclimation of Encapsulated Immobilized Denitrifying BacteriaGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Diffusion Coefficient and Microbial Community Structure Dynamics During Acclimation of Encapsulated Immobilized Denitrifying Bacteria

To address nitrate nitrogen accumulation in aquaculture tailwater, a core-shell encapsulated immobilized denitrifying bacterial capsule containing lychee seed powder and denitrifying activated sludge was developed. The capsule's micro-morphology, bacterial activity recovery, growth, community structure changes, and diffusion coefficient dynamics during acclimation were investigated. The capsule shell exhibited a honeycomb porous structure with an average pore size of (0.25 ± 0.063) μm. Denitrifying bacterial activity recovered rapidly, with nitrate nitrogen removal efficiency stabilizing at 83.61% by day 21. Biomass within the capsules increased progressively, reaching (21.96 ± 0.28) mg·(g-pellet)−1 on day 30. The effective diffusion coefficient decreased with biomass growth, dropping to 0.232 × 10−9 m²·s−1 by day 30. Organic carbon source and encapsulation acclimation environment altered the microbial community structure; after acclimation, dominant genera were Methylobacterium (22.8%), Brevibacillus (18.1%), and Azospirillum (17.3%). Denitrifying bacteria containing nirS- and nirK- genes predominantly belonged to Proteobacteria (>99%). Genera involved in organic carbon metabolism and denitrification, including Bosea, Bradyrhizobium, Rhizobacter, and Alicycliphilus, increased in abundance. The encapsulated denitrifying bacteria exhibited short activity recovery time and excellent denitrification performance, making them suitable for denitrification of aquaculture tailwater or other low C/N ratio wastewater.

Read Full Abstract10.12030/j.cjee.202511004
Chloride-Enhanced Fe(II)/PMS/H2O2 System for Degradation of PBTC and Simultaneous Recovery of Iron PhosphateGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Chloride-Enhanced Fe(II)/PMS/H2O2 System for Degradation of PBTC and Simultaneous Recovery of Iron Phosphate

Phosphonate wastewater, characterized by stable C–P bonds, poses significant environmental risks due to its resistance to degradation and potential to contribute to eutrophication. This study developed a chloride-enhanced Fe(II)/PMS/H2O2 system for the oxidative degradation of 2-phosphonobutane-1,2,4-tricarboxylic acid (PBTC) and simultaneous recovery of phosphorus as iron phosphate (FePO4). Under optimal conditions (0.1 mmol/L PBTC, 1.0 mmol/L Fe(II), 0.5 mmol/L PMS, 0.5 mmol/L H2O2, 10 mmol/L NaCl, initial pH 3.0, 60 min), total phosphorus (TP) removal reached 100%, with phosphorus nearly completely recovered as FePO4 precipitate. Increasing NaCl concentration and temperature enhanced TP removal, while pH significantly influenced removal efficiency and product speciation; acidic conditions (pH < 4.3) favored FePO4 precipitation. Coexisting Ca2+ and Mg2+ had negligible effects, whereas HCO3− and humic acid (HA) inhibited TP removal in a concentration-dependent manner. Radical quenching and electron spin resonance (ESR) analyses identified hydroxyl radicals (•OH), ferryl ion (Fe(IV)=O), sulfate radicals (SO4•−), and chlorine radicals (Cl•) as primary reactive species, with •OH playing a dominant role. Chloride introduction promoted the generation of multiple reactive species, and Cl• and its derivative Cl2•− directly attacked the C–P bond and phosphonate group, facilitating phosphorus release as PO43− and subsequent FePO4 formation. The system's feasibility was validated using actual industrial circulating cooling water. This study provides a novel approach for phosphonate wastewater treatment and phosphorus recovery.

Read Full Abstract10.12030/j.cjee.202510034
Microbial Mechanisms Underlying Soil Nutrient Availability in Vegetation Reconstruction of an Open-Pit Mining Area in Inner MongoliaGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Microbial Mechanisms Underlying Soil Nutrient Availability in Vegetation Reconstruction of an Open-Pit Mining Area in Inner Mongolia

Open-pit coal mining severely damages soil and plant community structure and function, causing soil nutrient loss and ecological degradation. Vegetation reconstruction is a key measure for restoring degraded mining ecosystems, with the core challenge being the selection of suitable plant species and optimization of plant configurations. This study focused on the degraded ecosystem of the Baiyinhua open-pit mine in Inner Mongolia, screening native plant species for vegetation reconstruction experiments to investigate early-stage changes in soil nutrient availability and the underlying microbial mechanisms. Results showed that soil physicochemical properties and fungal community diversity exhibited strong adaptability during early reconstruction. However, soil fungal community composition and the relative abundance of saprotrophic fungi differed significantly among plant configurations. Leymus chinensis significantly increased the proportion of soil saprotrophic fungi from 67.28% in the control to 81.63%, while reducing the relative proportion of pathogenic fungi from 15.63% to 4.33%, demonstrating its potential to enhance soil health. Medicago rivularis improved soil microbial community composition and increased soil available phosphorus content, highlighting its capacity as an excellent pioneer species for optimizing soil nutrient availability. Furthermore, mixed sowing of grasses and legumes showed potential to enhance the nitrogen-fixing effect of legumes. Given the significant positive correlation between soil fungal community composition and total nitrogen and available nitrogen, the effects of different plant configurations on soil nutrient availability and biological health likely stem largely from the regulation of soil fungal community composition. In conclusion, achieving the goal of selecting optimal plant configurations still requires long-term continuous observation and analysis, particularly for optimizing configurations between high-quality grasses like Leymus chinensis and legumes.

Read Full Abstract10.12030/j.cjee.202503016
Magnetic Field Modulation of Microbial Functional Specialization for Optimizing Environmental Bioprocesses: A ReviewGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Magnetic Field Modulation of Microbial Functional Specialization for Optimizing Environmental Bioprocesses: A Review

Microbial communities are the core functional units in environmental biotechnology. Magnetic field technology, as a non-invasive physical enhancement method, has shown application potential in wastewater treatment and waste resource recovery. Traditional ecological theory posits a positive correlation between species diversity and system function/stability. However, magnetic field enhancement often coincides with improved system performance and decreased microbial diversity, indicating a decoupling. This review systematically explains this phenomenon as the result of magnetic field-driven functional specialization of microbial communities. Magnetic fields act on paramagnetic targets in energy metabolism, including iron-sulfur clusters and cytochromes, alter cell surface physicochemical properties, impose oxidative stress, and select strains with high metabolic flexibility, thereby achieving targeted enrichment of key functional groups such as ammonia-oxidizing bacteria and electroactive bacteria within Proteobacteria. Although such functionally specialized communities have reduced species richness, they exhibit higher energy metabolism efficiency, enhanced electron transfer capacity, optimized interspecies cooperation networks, and strengthened system robustness. These advantages collectively support efficient and stable macroscopic bioprocess performance. This study also discusses potential limitations regarding ecosystem resilience and scenario dependence, and envisions future directions such as quantitative modeling and synergy with magnetic materials to advance magnetic field technology from empirical application to rational design.

Read Full Abstract10.12030/j.cjee.202509055
Carbon Footprint and Environmental Benefits of Waste Television Dismantling and Recycling: A Life Cycle Assessment StudyGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Carbon Footprint and Environmental Benefits of Waste Television Dismantling and Recycling: A Life Cycle Assessment Study

This study establishes a carbon footprint calculation method and an environmental benefit assessment model for the dismantling process of waste televisions (TVs) based on life cycle assessment (LCA). Activity data on energy consumption and material flows were collected from typical treatment enterprises via field investigation. The ReCiPe 2016 model was applied to quantify midpoint and endpoint environmental impacts. Results show that the dismantling and recycling process yields net environmental benefits in most impact categories. At the midpoint level, significant reductions were observed in fossil resource scarcity (−26,494.23 kg oil eq), freshwater ecotoxicity (−2.21×10^4 kg 1,4-DCB), and greenhouse gas emissions (−956.53 kg CO2 eq). At the endpoint level, reductions in human health damage (−1.59×10^4 DALY), ecosystem damage (−2.35×10^4 species·yr), and resource depletion costs (−4.22×10^4 USD) were achieved. Carbon footprint analysis indicates that the carbon footprint per TV ranges from 0.231 to 0.247 kg CO2 eq per unit, with electricity consumption as the dominant emission source. Sensitivity analysis reveals that electricity consumption significantly influences the carbon footprint. Finally, emission reduction recommendations are proposed from aspects of equipment upgrade and energy management, providing theoretical basis and practical guidance for low-carbon treatment of electronic waste.

Read Full Abstract10.12030/j.cjee.202509031
Effects of Field Application of Sewage Sludge Aerobic Fermentation Products on Antibiotic Resistance Gene Prevalence in Pakchoi (Brassica chinensis L.)Graphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Effects of Field Application of Sewage Sludge Aerobic Fermentation Products on Antibiotic Resistance Gene Prevalence in Pakchoi (Brassica chinensis L.)

To investigate the effects of applying sewage sludge aerobic fermentation products on antibiotic resistance genes (ARGs) in the rhizosphere soil and phyllosphere of pakchoi (Brassica chinensis L.), field experiments were conducted with three treatments: sludge product (sludge group), chemical fertilizer (fertilizer group), and no fertilizer (control). Antibiotic residues, abundances of ARGs and mobile genetic elements (MGEs) were measured in rhizosphere soil and phyllosphere, and microbial community composition and virulence factor (VF) contributions were annotated via metagenomics. Results showed that antibiotic concentrations in rhizosphere soil were generally higher than in phyllosphere. Compared with control, sludge application increased soil antibiotic content by 12.70%, whereas fertilizer increased it by only ~3%, indicating a more significant exogenous input from sludge. At the resistance level, total ARG abundances in rhizosphere soil and phyllosphere of the sludge group increased by 25.47% and 73.08%, respectively, relative to control, with concurrent increases in beta-lactam resistance genes and MGEs such as integron intI1. Sludge application may enhance integron-mediated gene capture and horizontal transfer potential, driving resistance risk accumulation in both phyllosphere and rhizosphere soil. Conversely, fertilizer application reduced ARG abundances by 53.40% in rhizosphere soil and 13.50% in phyllosphere compared with control, consistent with decreased microbial community abundance and diversity, suggesting that reduction of host bacteria and dissemination vectors was a key reason. In community structure, Proteobacteria dominated the phyllosphere, while Chloroflexi dominated rhizosphere soil. Correlation networks identified Sphaerobacter thermophilus and Aggregatilinea lenta positively correlated with multiple ARGs (r≈0.95–1.00), whereas Solirubrobacter sp. CPCC_204708 was negatively correlated (r≈−0.91). Virulence factor contributions followed trends similar to ARGs. Sludge fermentation products simultaneously increased ARG prevalence and related risk indicators in both rhizosphere soil and phyllosphere of pakchoi, providing a reference for risk identification and safe application of sludge fermentation products in agriculture.

Read Full Abstract10.12030/j.cjee.202511057
Optimization of Thermal Hydrolysis Pretreatment of Corn Straw for Enhanced Methane ProductionGraphical AbstractVerified
Chinese Journal of Environmental Engineering2026

Optimization of Thermal Hydrolysis Pretreatment of Corn Straw for Enhanced Methane Production

Low hydrolysis efficiency is a core bottleneck in anaerobic digestion (AD) of lignocellulosic agricultural residues, limiting methane production and resource utilization. This study optimized thermal hydrolysis pretreatment (THP) of corn straw (CS) using response surface methodology (RSM) to enhance methane yield. The optimal conditions were determined as solid-to-liquid ratio of 51.0–57.5 mg·mL−1, pretreatment time of 74–81 min, and temperature of 182.5–197.5 °C. Under the optimal combination (52.3 mg·mL−1, 78.4 min, 191 °C), cumulative methane yield increased from 218.0 to 362.9 mL·g−1 VS, a 66.7% improvement over untreated CS. Characterization via XRD, FTIR, and SEM revealed that THP disrupted the lignocellulosic structure, reducing lignin content from 21.5% to 8.3% and crystallinity index (CrI) from 70.83% to 61.95%. Inhibitory derivatives generated during THP included furfural (1.69 mg·mL−1), 5-methylfurfural (2.44 mg·mL−1), and phenol (23.14 mg·L−1), with a theoretical combined inhibition rate of 7.26%. The promotion effect on methane production (66.7%) far exceeded the theoretical inhibition (7.26%), indicating that THP under optimized conditions is effective and environmentally controllable. This study provides a systematic framework for optimizing THP parameters to maximize methane production from agricultural residues.

Read Full Abstract10.12030/j.cjee.202510029