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Synthesis of Ce/BiFeO_(3)composites and activation of persulfate for pharmaceutical wastewater degradation

Journal of Rare Earths 2025年第3期43卷 462-469,I0002页

作者： Yanting Zuo Shi Cheng Ziwen Guo Haolin Liu Huaicheng Zhang Ji Wu Ziwu Fan Wentao Li Aimin Li Key Laboratory of Taihu Basin Water Resources Management Ministry of Water ResourcesNanjing Hydraulic Research InstituteNanjing 210029China School of Urban Construction Changzhou UniversityChangzhou 213164China School of Resources and Environmental Engineering Jiangsu University of TechnologyChangzhou 213001China State Key Laboratory of Pollution Control and Resources Reuse School of the EnvironmentNanjing UniversityNanjing 210023China School of Environment and Safety Engineering Nanjing Polytechnic InstituteNanjing 210048China

Sulfamethoxazole(SMZ)is a prevalent and recalcitrant micropollutant in water,posing a significant threat to both aquatic organisms and human ***,investigating the removal of SMZ is of critical *** order to investigate the effect of rare earth metal doping on the performance of activated persulfate oxidative degradation of SMZ,BiFeO_(3)with different Ce doping amounts was successfully prepared by a hydrothermal ***,it was characterized by X-ray diffraction(XRD),scanning electron microscopy(SEM),scanning transmission electro n microscopy(STEM)and Brunauer-Emmett-Teller(BET)*** performance of porous Ce/BiFeO_(3)in the catalytic activation of persulfate(PMS)for the degradation of SMZ in water was investigated using SMZ solution as a simulated *** impact of Ce doping rate,catalyst dosage,temperature variations,common anions,natural organic matter,and PMS concentration on SMZ removal was systematically *** characterization results show that the octahedral rhombic structure of Ce can be observed on the surface of this doped catalyst,and Ce doping does not change the crystalline shape of Ce/BiFeO_(3).The specific surface area of the doped catalyst increases,accompanied by an enlargement of pore size,thereby enhancing the catalyst's adsorption capacity and resistance to contamination by *** the optimal conditions of 25℃,SMZ concentration of 20 mg/L,0.8 g/L PMS and 0.3 g/L 0.05Ce/BiFeO_(3)catalyst,the removal rate of SMZ reaches approximately 95%within35 min of reaction *** after five cycles of reuse,the degradation rate of SMZ remains above 88%,demonstrating the catalyst's good stability and *** experiments show that SO_(4)^(·-),·OH,1O_(2)and O_(2)^(·-)are involved in the catalytic degradation process,with 1O_(2)playing a dominant role.

关键词： Ce/BiFeO_(3) Persulfate Sulfamethoxazole Sulfate radicals Rare earths

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Ultrathin ZnIn_(2)S_(4)Nanosheets-Supported Metallic Ni_(3)FeN for Photocatalytic Coupled Selective Alcohol Oxidation and H_(2)Evolution

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Chinese Journal of Structural Chemistry 2022年第12期41卷 15-24页

作者： Mengqing Li Weiliang Qi Jiuyang Yu Lijuan Shen Xuhui Yang Siqi Liu Min-Quan Yang College of Environmental Science and Engineering Fujian Key Laboratory of Pollution Control&Resource ReuseFujian Normal UniversityFuzhou 350007China School of Environmental Science and Technology Dalian University of TechnologyDalian 116024China

Photocatalytic anaerobic organic oxidation coupled with H_(2)evolution represents an advanced solar energy utilization strategy for the coproduction of clean fuel and fine *** achieve a high conversion efficiency,the smart design of efficient catalysts by the right combination of semiconductor light harvesters and cocatalyst is highly ***,we report a composite photocatalyst composed of noble metal-free transition metal nitride Ni_(3)FeN decorated on 2D ultrathin ZnIn_(2)S_(4)(ZIS)nanosheets for selective oxidation of aromatic alcohols to aldehydes pairing with H_(2)*** the composite,ultrathin ZIS serves as a light harvester that greatly shortens the diffusion length of photogenerated charges,while the metallic nitride Ni_(3)FeN acts as an advanced cocatalyst which not only captures the photoelectrons generated from the ultrathin ZIS to promote the charge separation,but also provides active sites to lower the overpotential and accelerate the H_(2)*** best photocatalytic performance is found on ZIS/1.5%M-Ni_(3)FeN,which shows a H_(2)generation rate of 2427.9μmol g^(^(-1))h^(-1)and a benzaldehyde(BAD)production rate of 2460μmol g^(-1)h^(-1),about 7.8-fold as high as that of bare *** work is anticipated to endorse the exploration of transition metal nitrides as high-performance cocatalysts to promote the coupled photocatalytic organic transformation and H_(2)production.

关键词： transition metal nitrides cocatalyst ultrathin 2D nanosheets electrostatic self-assembly interfacial contact selective alcohol oxidation H_(2)evolution

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Predicting Bioaccumulation of Nanomaterials:Modeling Approaches with Challenges

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Environment & Health 2024年第4期2卷 189-201页

作者： Hang Zeng Zhuoyan Lv Xiaoyan Sun Yang Tong Wei Wu Shipeng Dong Liang Mao State Key Laboratory of Pollution Control and Resource Reuse School of the EnvironmentChemistry and Biomedicine Innovation CenterNanjing UniversityNanjing 210023China Nanjing Qixia District Hospital Nanjing 210023China High Tech Research and Development Center Ministry of Science and TechnologyBeijing 100044China

Understanding the bioaccumulation of nanomaterials(NMs)by organisms is essential in evaluating their potential ***,the experimental determination of bioaccumulation is substantially challenging,which spawned the development of prediction approaches via establishing models for various *** modeling approaches,such as the biotic ligand model(BLM),partition coefficients,accumulation factor models,and quantitative structure−activity relationship(QSAR)models,were initially used in the application of NMs,aiming to provide a reliable quantitative dose in a resource-saving *** methods,which are based on the uptake patterns of substances,probably lead to deviated results due to the different uptake behaviors of *** this study,currently developed models to evaluate the bioaccumulation of NMs are critically reviewed,with their feasibilities and limitations being *** addition,the recently developed machine learning amended models have taken great efforts in realizing biological behaviors of NMs in organisms by providing in silico *** this data-driven approach has limitations in mechanism exploration,it may give different insights into the bioaccumulation model establishment and critical feature identification.

关键词： Modeling Forecast Bioaccumulation Nanomaterials Machine learning

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Insight into the formation of iodinated tr ihalomethanes dur ing chlor ination,monochloramination, and dichloramination of iodide-containing water

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Journal of Environmental Sciences 2022年第7期34卷 285-294页

作者： Shuang Zhang Yi-Li Lin Tian-Yang Zhang Chen-Yan Hu Zhi Liu Zheng-Yu Dong Meng-Yuan Xu Bin Xu State Key Laboratory of Pollution Control and Resource Reuse Key Laboratory of Yangtze Water EnvironmentMinistry of EducationCollege of Environmental Science and EngineeringTongji UniversityShanghai 200092China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092China Department of Safety Health and Environmental Engineering“National”Kaohsiung University of Science and TechnologyKaohsiung 824Chinese Taipei College of Environmental and Chemical Engineering Shanghai University of Electric PowerShanghai 200090China

In this study, the formation of iodinated trihalomethanes(I-THMs) was systematically evaluated and compared for three treatment processes-(i) chlorination,(ii) monochloramine, and(iii) dichloramination-under different p H conditions. The results demonstrated that ITHM formation decreased in the order of monochloramination > dichloramination > chlorination in acidic and neutral p H. However, the generation of I-THMs increased in the dichloramination < chlorination < monochloramination order in alkaline condition. Specifically, the formation of I-THMs increased as p H increased from 5 to 9 during chlorination and monochloramination processes, while the maximum I-THM formation occurred at pH 7 during dichloramination. The discrepancy could be mainly related to the stability of the three chlor(am) ine disinfectants at different p H conditions. Moreover, in order to gain a thorough insight into the mechanisms of I-THM formation during dichloramination, further investigation was conducted on the influencing factors of DOC concentration and Br/Imolar ratio. I-THM formation exhibited an increasing and then decreasing trend as the concentration of DOC increased from 1 to 7 mg-C/L, while the yield of I-THMs increased with increasing Br/Imolar ratio from 5:0 to 5:10. During the three processes mentioned above, similar I-THM formation results were also obtained in real water, which indicates that the excessive generation of I-THMs should be paid special attention during the disinfection of iodide-containing water.

关键词： Inorganic chloramine Iodinated trihalomethanes(I-THMs) Chlorination Monochloramination Dichloramination Bromide to iodide ratio

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Selection of urban flood shelter locations based on risk assessment

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Water-Energy Nexus 2024年第1期7卷 151-162页

作者： Qiu, Jiale Tan, Haowen Yuan, Shengnan Lv, Chenxi Wang, Peng Cao, Shuchao Zhang, Yuhu Faculty of Civil Engineering and Mechanics Jiangsu University Zhenjiang212013 China State Key Laboratory of Pollution Control and Resource Reuse School of the Environment Nanjing University Nanjing210023 China Cranfield Tech Futures Graduate Institute Jiangsu University Zhenjiang212013 China School of Automotive and Traffic Engineering Jiangsu University Zhenjiang212013 China College of Resource Environment & Tourism Capital Normal University Beijing100048 China

Within the framework of global climate change, there is a recurring occurrence of floods and waterlogging disasters, which pose significant risks to human lives and overall safety. The phenomenon of urbanization has led to an increased vulnerability of cities to flood disasters. Evacuation serves as a viable strategy for adapting to climate change, managing intense precipitation events, and mitigating the impact of flood disasters. Hence, the meticulous choice of shelters has emerged as a crucial element in enhancing the effectiveness of evacuations. Nevertheless, the process of choosing shelters sometimes neglects to consider the potential for flooding and has not undergone thorough testing. Hence, the objective of this research is to systematically choose shelters within the central metropolitan region, incorporate flood risk considerations into the shelter site model, and assist cities in mitigating the consequences of floods resulting from climate change. To begin with, employ a two-dimensional shallow water model in order to replicate instances of intense precipitation and produce data on flood inundation. Subsequently, the simulation results are utilized to assess the flood risk using the entropy weight approach. This risk is then incorporated into the multi-objective optimization model to determine the optimal shelter placement. Ultimately, the ABM model was employed to create a simulation of crowd evacuation in urban areas, confirming the efficacy of shelter selection and thoroughly examining the influence of various shelters on the efficiency of community emergency evacuation. The study's findings indicate that a total of 26 shelters were chosen within the study area using a multi-objective methodology, ensuring the inclusion of all affected populations. The utilization of multi-objective models in the selection of shelter places has been shown to enhance evacuation efficiency, as confirmed by the ABM model. The simulation findings indicate a decline in the

关键词： Climate change

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Artificial intelligence in wastewater treatment: A data-driven analysis of status and trends

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Chemosphere 2023年第1期336卷 139163页

作者： Zhang, Shubo Jin, Ying Chen, Wenkang Wang, Jinfeng Wang, Yanru Ren, Hongqiang State Key Laboratory of Pollution Control and Resource Reuse School of the Environment Nanjing University Jiangsu Nanjing210023 China

Wastewater treatment is a complex process that involves many uncertainties, leading to fluctuations in effluent quality and costs, and environmental risks. Artificial intelligence (AI) can handle complex nonlinear problems and has become a powerful tool for exploring and managing wastewater treatment systems. This study provides a summary of the current status and trends in AI research as applied to wastewater treatment, based on published papers and patents. Our results indicate that, at present, AI is primarily used to evaluate removal of pollutants (conventional, typical, and emerging contaminants), optimize models and process parameters, and control membrane fouling. Future research will likely continue to focus on removal of phosphorus, organic pollutants, and emerging contaminants. Moreover, analyzing microbial community dynamics and achieving multi-objective optimization are promising directions of research. The knowledge map shows that there may be future technological innovation related to predicting water quality under specific conditions, integrating AI with other information technologies and utilizing image-based AI and other algorithms in wastewater treatment. In addition, we briefly review development of artificial neural networks (ANNs) and explore the evolutionary path of AI in wastewater treatment. Our findings provide valuable insights into potential opportunities and challenges for researchers applying AI to wastewater treatment. © 2023 Elsevier Ltd

关键词： Wastewater treatment

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A core–shell-structured zeolitic imidazolate framework@cationic antimicrobial agent templated silica nanocomposite for tackling antibiotic resistant bacteria infection

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Aggregate 2024年第3期5卷 397-408页

作者： Qihui Kan Yaping Song Yining Yao Jun Zhang He Xian Dan Cheng Yue Wang Liang Mao Meiyan Wang Chengzhong Yu State Key Laboratory of Pollution Control and Resource Reuse School of the EnvironmentNanjing UniversityNanjingChina Australian Institute for Bioengineering and Nanotechnology The University of QueenslandBrisbaneQueenslandAustralia School of Chemistry and Molecular Engineering East China Normal UniversityShanghaiP.R.China School of Life Sciences East China Normal UniversityShanghaiP.R.China

Bacterial infection is a major threat to public *** offers a solu-tion by combining nanomaterials with antibacterial *** development of an effective nanocomposite against drug-resistant bacteria such as methicillin-resistant Staphylococcus aureus(MRSA)is highly important yet ***,an anti-MRSA core–shell structure is designed,containing antibacterial zeolitic imidazolate framework-8(ZIF-8)as the core and bactericidal benzalkonium chloride(BAC)templated rough-surface mesostructured silica nanocomposite(RMSN)as the *** resultant ZIF-8@RMSN nanocomposite exhibits sustained release of BAC and zinc ions,effective disruption of the bacterial membrane,generation of oxidative damage of bacterial DNA,leakage of intracellular components,andfinally bacte-rial ***,the synergistic antibacterial mechanisms lead to enhanced biofilm elimination *** addition,the ZIF-8@RMSN-modified band-aid effectively combats MRSA infection in *** work has provided a promising nanocomposite against MRSA-related infections.

关键词： benzalkonium chloride core–shell structure mesoporous silica metal organic framework methicillin-resistant Staphylococcus aureus

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Recent advances and prospects in antibiotics removal by coagulation technique: a systematic review

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Journal of Cleaner Production 2025年 514卷

作者： Feng, Qiyun Guo, Kangying Liu, Beibei Wang, Chenxu Yan, Binjie Yue, Qinyan Gao, Yue Gao, Baoyu Shandong Key Laboratory of Water Pollution Control and Resource Reuse School of Environmental Science and Engineering Shandong University Qingdao266237 China

Antibiotics, as emerging environmental contaminants, pose significant ecological and human health risks due to their persistence in aquatic systems. Thus, the environmental risks associated with antibiotics necessitate the application of innovative, efficient, and sustainable technologies for pollution control. As an environmentally friendly approach, coagulation has attracted considerable attention for antibiotic wastewater treatment. However, successful implementation requires thorough evaluation of performance characteristics and influencing factors. Currently, no comprehensive review exists that systematically examines coagulation's effectiveness and applications for antibiotic removal. This work specifically focuses on recent advances in coagulation technology for antibiotic treatment, particularly addressing key influencing factors and practical applications. Different coagulants or flocculants and factors affecting coagulation efficiency are summarized, and the performance of coagulation applied to real antibiotic wastewater and in combination with other processes is also elucidated. Despite remarkable advances, there are still several issues that require serious consideration, including the structure-activity relationship of coagulants, the mechanism of the external conditions on coagulation effects, and the industrial application of coagulation for the treatment of antibiotics. This review concludes by identifying emerging trends and future research directions to enhance coagulation processes for effective antibiotic removal from both water and wastewater systems. Overall, by examining the latest advancements and applications, this review aims to highlight the potential and challenges of coagulation treatment of antibiotics, promoting the development of practical applications in antibiotic treatment technologies. © 2025 Elsevier Ltd

关键词： Coagulation

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Synergistic oxidation and coagulation of raw water by novel Fe(II)/sulfite process: A comparative study with peroxydisulfate and peroxymonosulfate

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Journal of Hazardous Materials 2025年 493卷 138418页

作者： Lu, Jian Guo, Yuhao Pan, Minyuan Fu, Qi Zhou, Bin Zhang, Tianyang Peng, Zhu Shi, Jun He, Huan Zeng, Chao Xu, Bin State Key Laboratory of Pollution Control and Resource Reuse Key Laboratory of Yangtze Water Environment Ministry of Education College of Environmental Science and Engineering Tongji University Shanghai200092 China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 China

Latest findings demonstrate that the oxidative Fe(II)/sulfite (Fe(II)/S(IV)) process can rapidly generate iron particles, holding potential for coagulation while simultaneously removing emerging contaminants. Herein, we first report the synergistic oxidation-coagulation treatment of RW by Fe(II)/S(IV) process, and compare with traditional Fe-based coagulation (FeSO4, Fe2(SO4)3), Fe(II)/PDS and Fe(II)/PMS processes. Results revealed that the Fe(II)/S(IV) process outperformed traditional Fe-based coagulants, Fe(II)/PDS and Fe(II)/PMS in removing turbidity, UV254, and DOC. For emerging contaminants removal from RW, Fe(II)/PMS showed the highest efficiency, followed by Fe(II)/PDS, while Fe(II)/S(IV) was slightly less effective, it still demonstrated a significant improvement (40 %∼65 %) over traditional coagulation processes. Moreover, the Fe(II)/S(IV) process is the most effective in reducing DBPs formation (56 %∼86 %). Although Fe(II)/PDS and Fe(II)/PMS also significantly reduce DBPs formation, their high oxidation potential at low pH generated toxic N-DBPs. Mechanistic analysis indicated that the Fe(II)/S(IV) process was most effective in removing humic substances and biopolymers. Its moderate oxidation preserved macromolecular structures, enhancing coagulation. And the hydrolysis of S(IV) generates OH⁻, promoting electrostatic neutralization and floc enlargement. Cost analysis revealed that the Fe(II)/S(IV) process is significantly more economical, with costs only 1/60 of Fe(II)/PMS. These results highlight the Fe(II)/S(IV) process as a promising and cost-effective approach to advanced water treatment. © 2025 Elsevier B.V.

关键词： Coagulation

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Optimization of environmental engineering practical teaching system based on cellular mechanics principles and construction of multi-dimensional evaluation model

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MCB Molecular and Cellular Biomechanics 2025年第1期22卷

作者： Meng, Na Jiangsu Key Laboratory of Industrial Pollution Control and Resource Reuse School of Environment Engineering Xuzhou University of Technology Xuzhou221018 China

In the realm of emerging engineering education, the practical teaching of environmental engineering majors cries out for reform and optimization, which can be analogized to the regulatory mechanisms within cellular molecular biomechanics. Cells maintain their functionality and adaptability through a complex network of molecular interactions and signaling pathways. Similarly, an effective practical teaching system must have a well-structured and optimized framework. This study aims to explore the reform of the practical teaching system for environmental engineering majors in the context of emerging engineering education. A multi-dimensional evaluation model was constructed based on the Analytic Hierarchy Process (AHP), and the heuristic algorithm was integrated for weight optimization. The results show that the Improved Genetic Particle Swarm Optimization (IG-PSO) exhibits significant advantages in optimizing the weights of various indicators. After optimization, its Consistency Ratio (CR) decreased to 0.07, representing a 53% and 46% improvement over Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), respectively. Additionally, the fitness value of IG-PSO after 800 iterations reached 0.046, significantly outperforming other comparative algorithms. Furthermore, the assessment of teaching effects in dimensions like experimental performance and innovation ability parallels the overall functionality and responsiveness of a cell. The IG-PSO-optimized evaluation system achieved an excellent score of over 90 in the assessment of actual teaching effectiveness across dimensions such as experimental performance and innovation ability. It shows that the teaching system is a healthy, well-regulated cell that can effectively perform its functions and adapt to different educational needs. Through the analogy with cellular molecular biomechanics, we can gain a deeper understanding of the improvement and optimization of the practical teaching system of environmental engi

关键词： Cell signaling

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