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Verified CAS / Academic Author12 Decoded Studies

Prof. LIU Ruiping

Hengshui University, Center for Wetland Conservation and Research

Co-Affiliations:School of Environmental Science and Engineering, Changzhou University; Zhejiang Provincial Key Laboratory of Water Science and Technology, Department of Environment in Yangtze Delta Region Institute of Tsinghua University of ZhejiangHengshui University, Center for Wetland Conservation and Research, Hengshui, ChinaCollege of Environmental Science and Engineering, Guilin University of Technology; Center for Water and Ecology, Tsinghua University

Research Publications & English Decoded Briefs

Showing 12 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4113-3

Biomimetic design of Turing-type grain boundary defects in copper catalysts for boosting CO2 electroreduction to multi-carbon products

Constructing abundant grain boundary defects is a promising strategy for developing high-efficiency catalysts. However, achieving dense grain boundary defects in CuO and Cu at the nanoscale remains challenging. Inspired by Turing patterns in nature, a Turing-type CuO catalyst (TGB-CuO) with abundant grain boundaries at ~10 nm nanoscale was prepared by annealing a dodecyl sulfate-intercalated basic copper carbonate. The balanced diffusion-reaction dynamics during pyrolysis drove the spontaneous formation of Turing-type grain boundary architectures in TGB-CuO. The resulting TGB-CuO electrode exhibited outstanding performance in electrochemical CO2 reduction (ECO2RR), delivering a Faradaic efficiency of 80.15% toward multi-carbon (C2+) products and maintaining over 50% ethylene selectivity at 300 mA cm−2 for 30 h of continuous operation. Activity investigations indicated that the metallic Cu retaining Turing-type grain boundary features (TGB-Cu) formed during electroreduction was responsible for the enhanced ECO2RR performance. The Cu(100)/(100), Cu(100)/(111), and Cu(111)/(111) grain boundaries promoted CO2 activation and *CO adsorption, while lowering the free energy barriers for the rate-determining *CO2− → *COOH step and C–C coupling step. This bioinspired reaction-diffusion strategy offers a new paradigm for creating high-density grain boundary defects, offering a general route toward efficient catalyst design.

Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2025101901

Formation and Emission of Hexachlorobutadiene during Chlorinated Chemical Production and Its Impact on the Surrounding Environment

Hexachlorobutadiene (HCBD) is a persistent organic pollutant (POP) regulated under the Stockholm Convention. Chlorinated chemical production processes are major sources of unintentional HCBD emissions, posing potential threats to ecosystems and human health. This study systematically reviews the formation, emission, and environmental impact of HCBD from such processes. HCBD is widely generated as a by-product during chlorination stages of producing carbon tetrachloride, dichloroacetylene, tri-/tetrachloroethylene, and chlorobenzene, via free-radical mechanisms. It is released through waste gas, wastewater, and solid waste. In the environment, HCBD exhibits multimedia distribution, undergoing long-range atmospheric transport and adsorbing onto soil and sediments, thereby becoming secondary pollution sources. HCBD shows significant bioaccumulation and food-chain magnification; it is toxic to aquatic organisms and causes hepatic and renal damage with potential carcinogenicity in mammals. Effective pollution control requires combined process improvements and end-of-pipe treatments, supplemented by stringent emission standards and life-cycle management. Future research should focus on developing precise emission inventories, elucidating multi-media transport and transformation mechanisms, and assessing composite ecotoxicological effects, thereby providing scientific support for implementing international conventions and formulating effective prevention strategies.

Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2025012302

Effects of Different Novel Fertilizer Applications on Phosphorus Loss from Surface and Seepage Water in Paddy Fields in the Chaohu Lake Watershed

Phosphorus (P) loss from paddy fields contributes to eutrophication in Chaohu Lake. This study evaluated the effects of novel fertilizers and P reduction on P loss and rice yield. Seven treatments were established: no P (CK), rice-specific fertilizer (ZYF), slow-release blended fertilizer (SRF), Xinjutian compound fertilizer (XJT), enhanced loss-controlled fertilizer (CRF), CRF with 10% P reduction (CRF-10P%), and CRF with 30% P reduction (CRF-30P%). Results showed that novel fertilizers and P reduction significantly reduced concentrations of total phosphorus (TP), dissolved phosphorus (DP), and particulate phosphorus (PP) in surface water and leachate. The first 5 days after basal fertilization and heavy rainfall were high-risk periods for P loss. Rainfall increased TP concentrations by 417.74%–432.86% and 94.85%–351.35% in surface water and leachate, respectively; DP increased by 120.80%–322.44%, and PP by 280.66%–501.77% and 80.23%–297.55%. Compared with ZYF, SRF, XJT, and CRF reduced TP loss by 15.43%–33.95%, with SRF showing the lowest loss. Under P reduction, CRF-10P% and CRF-30P% reduced TP loss by 31.48% and 37.04%, respectively, with CRF-30P% achieving the lowest loss. Notably, CRF-10P% increased rice yield by 22.37% relative to ZYF, indicating that moderate P reduction with enhanced loss-controlled fertilizer can maintain or increase yield while reducing environmental risk. The study concludes that CRF-10P% offers a promising strategy for sustainable rice production in the Chaohu Lake watershed.

Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2025020603

Screening and Identification of High Cellulase-Producing Strain Bacillus cereus and Optimization of Enzyme Production Conditions

The high cellulase-producing strains were screened and the enzyme production conditions were optimized, providing strain resources for the effective utilization of agricultural solid waste. A promising cellulolytic strain S3 was isolated from the soil of Hengshui Lake Wetland Park. The isolation process employed Congo red plate staining method for primary screening, followed by secondary screening through cellulase activity determination and straw degradation experiments. Through morphological observation and molecular biology identification, the strain S3 was identified to be Bacillus cereus. The ratio of transparent circle to colony diameter of strain S3 was 4.01±0.17. The filter paper enzyme activity of strain S3 was 42.09 U·mL−1, and the degradation rate of corn stover reached 19.29% after 10 days of fermentation. It was found that the optimum carbon source of strain S3 was the mixture of microcrystalline cellulose and wheat bran with the addition amount of 4%, and the optimum nitrogen source was soybean powder with the addition amount of 2%. Single factor experiment and response surface methodology were used to optimize the enzyme production conditions of the strain S3. The optimal conditions were fermentation time of 76 h, fermentation temperature of 36℃, initial pH of 6, and inoculation volume of 4%. Under these conditions, the filter paper enzyme activity reached 60.13 U·mL−1, which was 1.43 times higher than that before optimization. The strain S3 showed the high cellulase-producing capability, demonstrating its potential as an efficient microbial candidate for the degradation and utilization of agricultural solid waste.

Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2025012401

Optimizing the Efficiency of Water Pollution Tracing Based on Three-Dimensional Fluorescence Spectra Extracted from Characteristic Excitation Wavelengths

Traditional excitation-emission matrix (EEM) fluorescence spectroscopy suffers from prolonged scanning times, data redundancy, high instrument cost, and bulkiness, hindering rapid on-site water pollution source tracing. This study proposes a novel classification method combining fixed characteristic excitation wavelength scanning with support vector machine (SVM) to enhance efficiency. A total of 180 EEM samples were collected from six pollution source categories: chemical fiber dyeing and finishing, wool textile dyeing and finishing, leather processing, metal surface processing, papermaking, and domestic sewage. Parallel factor analysis (PARAFAC) identified characteristic fluorescent components and excitation wavelengths. Correlation analysis and feature importance analysis further reduced these to seven characteristic excitation wavelengths. SVM and random forest (RF) models were constructed using both the reduced and original EEM datasets. Results demonstrated that models based on the seven characteristic excitation wavelengths maintained high recognition accuracy while significantly improving efficiency. The SVM model achieved the best performance, with runtime reduced from 243.05 s to 34.56 s (an 86% decrease) and recognition accuracy reaching 94.4%. Precision, recall, and F1-score metrics confirmed the robust performance of SVM with characteristic wavelengths, particularly for metal surface processing wastewater. This study provides an efficient and reliable method for rapid water pollution tracing by simplifying EEM scanning and integrating SVM, offering high application value. Future work will optimize feature selection strategies and explore additional sample categories and model combinations to broaden applicability.

Journal of Environmental Engineering Technology2026DOI: 10.13205/j.hjgc.202605006

Analysis and Research Prospects of Military Ecological and Environmental Problems

Military ecological and environmental protection is a critical component of national ecological and environmental protection. Military activities and operations, such as training and drills, weapons and equipment testing, and combat, are prone to triggering a series of ecological and environmental problems, including greenhouse gas emissions, deterioration of water resources and water quality, vegetation destruction, land degradation, and typical physical and chemical pollution, which have attracted extensive global attention. This study systematically analyzed the eco-environmental impacts of military activities on multiple environmental media (atmosphere, water, and soil) across different periods, and conducted pollution source tracing in multi-media and representative regions. It reviewed the current status of ecological and environmental protection technologies for the three major environmental media, i.e., atmosphere, water, and soil, and summarized the characteristics and constraints of military ecological and environmental research. Finally, it proposed the research trends and key development directions for military ecological and environmental protection from four dimensions: data monitoring and sharing, research and development of in-situ remediation technologies for military-civilian integrated combined pollution, green construction practices for military facilities, and optimization of management systems.

Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2026021002

Model-Averaging Species Sensitivity Distribution for Phthalate Esters and Ecological Risk Assessment in Typical Freshwater Basins of China

The construction of species sensitivity distribution (SSD) models using a single function requires optimization to reduce subjectivity. To minimize model selection uncertainty and align with Chinese freshwater organism effect criteria, this study integrated native freshwater species toxicity data, including experimental and predicted values from interspecies correlation estimation (ICE) and acute-chronic ratio (ACR) methods, and applied a model-averaging approach to construct SSD models for seven representative phthalate esters (PAEs): dimethyl phthalate (DMP), diethyl phthalate (DEP), dibutyl phthalate (DnBP), butyl benzyl phthalate (BBP), bis(2-ethylhexyl) phthalate (DEHP), diisodecyl phthalate (DIDP), and dihexyl phthalate (DnHP). The derived short-term predicted no-effect concentrations (PNECacute) for DMP, DEP, DnBP, BBP, DEHP, DIDP, and DnHP were 16.796, 4.984, 9.064×10⁻², 2.490×10⁻¹, 1.898×10⁻², 1.386×10⁻¹, and 7.428×10⁻² μg·L⁻¹, respectively. Long-term PNECs (PNECchronic) were 3.245×10², 36.500, 1.149, 4.018, 8.949×10⁻², 1.637, and 4.073×10⁻¹ μg·L⁻¹, respectively. These PNECs, based on native species toxicity data and more stringent than existing standards, are recommended as potential references for water quality criteria based on Chinese freshwater organism effects. Ecological risk assessment using the hazard quotient (HQ) method on exposure concentrations from typical Chinese freshwater basins revealed that DEHP and DnBP posed high short-term risks, BBP mainly medium risk, while DMP, DEP, and DnHP showed low or no risk. Long-term risks indicated DEHP at medium to high risk, DnBP mainly medium to low, BBP low or no risk, and DMP, DEP, and DnHP no risk. The overall ecological risk ranking was DEHP > DnBP > BBP > DEP > DMP ≈ DnHP.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3950-x

N-vacancy engineering Zn single-atom site boosts efficient photosynthesis of hydrogen peroxide

Photocatalytic oxygen reduction reaction (ORR) for hydrogen peroxide (H2O2) production via the two-electron pathway offers an environmentally friendly oxidant and a clean fuel. However, challenges exist in optimal oxygen (O2) adsorption capacities and maintaining O–O bond during O2 activation. Herein, we present a zinc single-atom catalyst (Zn/VN-CN) incorporating nitrogen vacancies (VN), designed to modulate the electronic structure of the photocatalyst, leading to optimized O2 adsorption energy and a remarkable enhancement in H2O2 yield. Benefiting from the synergistic effect between nitrogen vacancies and Zn single atoms, the optimized Zn/VN-CN catalyst exhibits a photocatalytic H2O2 production rate of 2.399 mmol g−1 h−1 under visible-light irradiation, representing a 12-fold enhancement compared to pristine g-C3N4 (CN), along with a high H2O2 selectivity of 87.4%. Combined experimental and theoretical studies indicate that the Zn-N3 sites act as highly active reaction centers, while nitrogen vacancies increase the charge density and downshift the d-band center of the Zn sites, thereby moderating O2 adsorption strength, lowering the activation energy barrier for the formation of *H2O2, and further converting it to H2O2. This work proposes an effective strategy for tuning O2 adsorption behavior to achieve highly selective and active photocatalytic H2O2 production.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3853-y

Oxygen-Doped Carbon Rings for Pure Violet Light-Emitting Diodes

High-colour-purity light-emitting diodes (LEDs) are essential for next-generation wide-colour-gamut displays and emerging photonic technologies. While narrow-band blue emitters with high photoluminescence quantum yield (PLQY) have been developed via para-positioned boron and nitrogen doping, extending emission to pure violet (<400 nm) remains challenging. Here, we highlight a breakthrough by Song and coworkers (Nature Synthesis, 2024) who synthesized oxygen-doped carbon quantum rings (OD-CQRs) via a one-step solid-state reaction between 2,3-dihydroxynaphthalene and anhydrous SnCl2 at 180 °C. High-resolution STM at 4.7 K revealed a planar hexagonal ring structure (diameter 18.8 Å) with alternating benzene and oxygen-containing five-membered heterocycles. The OD-CQRs exhibit pure-violet emission centered at 393 nm with an ultranarrow full-width at half-maximum (FWHM) of 18 nm and an exceptional PLQY of 95%—the best combination among carbon-based luminescent materials. The innovative O-π confinement strategy restricts π-electron delocalization and suppresses non-radiative vibrational relaxation, as confirmed by DFT, localized orbital locator (LOL), and nucleus independent chemical shifts (NICS) analyses. The root mean square displacement between ground and excited states is only 0.0 Å, indicating minimal structural reorganization. This work provides a simple, scalable route to high-performance violet emitters, addressing a critical bottleneck in display and photonic technologies.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202512045

Electrocatalytic Degradation of Phenol by Sn-Sb Co-doped Ti/SnO2 Electrode: Performance and Mechanism

To optimize the anode structure of Ti/SnO2-based electrodes in electrochemical advanced oxidation processes (EAOPs) and enhance their electrocatalytic activity and stability, Sn-Sb co-doped Ti/SnO2 electrodes were fabricated via a sol-gel method. The degradation performance and mechanism were evaluated using phenol as a model pollutant. Three electrodes were prepared with different Sn/Sb molar ratios: Ti/SnO2 (10:0), Ti/Sb (0:10), and Ti/SnO2-Sb (9:1). Characterization by XRD, SEM, and electrochemical tests revealed that the Sn-Sb co-doped electrode exhibited a dense surface, higher oxygen evolution potential (OEP), larger electrochemically active surface area, and lower charge transfer resistance compared to single-doped counterparts. In constant-current electrolysis experiments (20 mA·cm−2, pH=5, 0.1 mol·L−1 Na2SO4), the co-doped electrode achieved superior phenol and TOC removal efficiencies and higher apparent rate constants, with the lowest specific energy consumption per unit TOC removal. Radical quenching and intermediate analysis indicated that hydroxyl radicals (·OH) were the dominant reactive species. The degradation pathway involved aromatic ring hydroxylation, ring opening, and further mineralization of short-chain carboxylic acids. Sn-Sb co-doping enhanced the generation of ·OH by increasing surface adsorbed oxygen and defect site density. This synergistic doping strategy significantly improved the electrocatalytic activity and service life of Ti/SnO2-based anodes, providing a basis for the rational design of anode materials for EAOPs in treating refractory organic wastewater.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202511025

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.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-4080-y

Visualizing hepatic M1 macrophages with a dual-target-recognizing photoacoustic nanoprobe for identifying non-alcoholic steatohepatitis

M1 macrophages (M1φ) are pivotal drivers in the progression from non-alcoholic fatty liver (NAFL) to non-alcoholic steatohepatitis (NASH). Longitudinal monitoring of intrahepatic M1φ could facilitate non-invasive diagnosis of NASH, yet achieving specific and sensitive in vivo imaging of M1φ remains challenging due to the nonspecific phagocytic activity common to all phenotypic macrophages. In this study, we developed a dual-target-recognizing photoacoustic nanoprobe that can target glucose transporters (GLUTs) and be selectively activated by nitric oxide (NO). Benefiting from its enhanced affinity for M1φ and decent responsive capability to NO, the probe exhibited favorable imaging performance toward M1φ in ex vivo experiments. Following systemic administration in diabetic mice, the probe rapidly accumulated in the liver, where it was selectively internalized by M1φ via specific recognition between glucose molecules and GLUTs, further inducing a NO-triggered enhancement of the photoacoustic signal. Distinct photoacoustic signal enhancement patterns were observed between NAFL and NASH livers, enabling non-invasive in vivo discrimination of NASH. This study proposes a novel strategy using a dual-target-recognizing probe to improve the selectivity and sensitivity of in vivo M1φ imaging, while also providing new insights for the non-invasive diagnosis of NASH.