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Ultrasensitive photoelectrochemical biosensor of amyloid-β oligomer detection via porphyrin-based covalent organic frameworks enhanced by iron single-atom catalysts

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Biosensors and Bioelectronics 2025年 287卷

作者： Qian Zhang Haiyan Zhao Zihan Zhang Yuxin Wei Na Li Min Cui Yanyan Zhang Meng Li Cong Zhang Hebei Key Laboratory of Photoelectric Control on Surface and Interface College of Sciences Hebei University of Science and Technology Shijiazhuang 050018 China Key Laboratory of Innovative Drug Development and Evaluation College of Pharmaceutical Sciences Hebei Medical University Shijiazhuang 050017 China School of Agricultural Engineering and Food Science Shandong University of Technology Zibo 255049 China

Accurate and sensitive detection of amyloid-β oligomer (AβO) is essential for understanding the development and progression of Alzheimer's disease (AD). Herein, an ultrasensitive photoelectrochemical (PEC) biosensing platform was developed by integrating photoelectrically active porphyrin-based covalent organic frameworks with Fe single-atom catalysts (Fe SACs) to enhance PEC signal. The Fe SACs demonstrate remarkable peroxidase-like activity, enabling them to oxidize 4-chloro-1-naphthol (4-CN) to generate insoluble 4-chloro-1-naphthol dimer (4-CD) precipitation on the photoelectrode surface. This process effectively reduces the PEC signal, providing a mechanism for signal amplification. the synergistic amplification effect of Fe SACs, which enhance interfacial catalytic reactions and mimic enzyme activity, the developed PEC biosensor utilizing Fe SACs enables highly sensitive and precise detection of AβO in both solution and real cerebrospinal fluid (CSF) samples with a broad linear relationship range from 10 fM to 200 nM and a low LOD of 7.4 fM. The designed novel sandwich-type PEC biosensor presents an innovative strategy for diagnosing AD at preliminary stages, while the findings also establish a foundation for the creation of advanced PEC biosensing systems that utilize p-COF-based nanomaterials integrated with multifunctional single-atom catalysts.

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Effect of Five Lactic Acid Bacteria on the Flavor Quality of Fermented Sweet Potato Juice

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SSRN 2024年

作者： Fan, Xinguang Liang, Bin Bai, Xue Li, Xiaohe Kong, Yanhui Li, Xiulian Zeng, Xiangquan Liu, Wenli Li, Huamin Sun, Shuyang Wang, Yunfan Gong, Hansheng School of Food Engineering Yantai Key Laboratory of Nanoscience and Technology for Prepared Food Yantai Engineering Research Center of Food Green Processing and Quality Control Ludong University Shandong Yantai264025 China School of Health YanTai Nanshan University Shandong Longkou265713 China Yantai Landscape Construction and Maintenance Center Shandong Yantai264000 China School of Pharmacy Binzhou Medical University Shandong Yantai264003 China Department of Food Science College of Agriculture Purdue University West LafayetteIN47906 United States

The purpose of this research was to assess the impact of 5 lactic acid bacteria (LAB), Lactiplantibacillus plantarum, Lacticaseibacillus casei, Streptococcus thermophilus, Lacticaseibacillus rhamnosus and Lactobacillus delbrueckii subsp. bulgaricus on the characteristic flavor of the fermented sweet potato juice. Following the fermentation process, significant variations were observed in the concentrations of sugars, organic acids, as well as the overall volatile aroma compounds. LAB can effectively facilitate the production of volatile organic compounds (VOCs), including acids and ketones, thereby enhancing the aroma quality. Inoculation fermentation by LAB decreased the sweet and nutty odor, and increased fresh, floral, and citrus aroma of the sweet potato juice. The sweet potato juice fermented by 5 lactic acid bacteria strains had different flavor features, while the sample of Lp10 showed the highest overall acceptability. Compared to other strains, L. plantarum exerted a more significant influence on the volatile compounds present in fermented sweet potato juice. © 2024, The Authors. All rights reserved.

关键词： Ketones

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Research on the Mining Effect of Floor Strata in Deep Coal Seam Mining: A Case Study of #7 Coal Seam at Chazhuang Coal Mine

Research on the Mining Effect of Floor Strata in Deep Coal S...

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China Rock 2020 Conference

作者： Zhang, Wenquan Wu, Xintao Shao, Jianli Ren, Yanghui Wang, Zaiyong College of Energy and Mining Engineering Shandong University of Science and Technology Qingdao266590 China State Key Laboratory of Mining Disaster Prevention and Control Shandong University of Science and Technology Qingdao266590 China Mining Engineering National Experimental Teaching Demonstration Center Shandong University of Science and Technology Qingdao266590 China Central Research Institute China Coal Industry Group Beijing100020 China

Studying the mining effect of floor strata in deep coal seam mining is beneficial for evaluating and relieving the risk of water inrush from the floor. In addition, such research forms the basis for ensuring the support and stability of roadways and chambers in the lower part of the coal seam. By considering the mining of #7 coal seam in the 7600 deep mining area of the Chazhuang coal mine in Feicheng coalfield as the engineering background, this study analyzes the distribution law of mining abutment pressure and the range of failure depth affected by mining using elastic theory. In addition, the stress, strain, and failure states of the floor rock mass affected by mining are comprehensively simulated and studied using the FLAC3D finite difference software combined with field measurement results of rock movement in the lower roadway of the #7 coal seam. The mining effect of the floor is further compared and studied, providing a scientific reference basis for realizing the safe mining of coal in confined water in the deep lower group of the Feicheng coalfield. © Published under licence by IOP Publishing Ltd.

关键词： Coal mines

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Overcoming Coexisted Antibiotics Antagonism-Induced Low Removal Efficiency by Multi-Targeted Catalyst

SSRN

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SSRN 2022年

作者： Fan, Yu-Han Li, Yu-Qi Hayat, Faisal Liu, Chen Li, Jun Chen, Ming Key Laboratory of Reservoir Aquatic Environment Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences Chongqing400714 China Chongqing School University of Chinese Academy of Sciences Chongqing400714 China College of Resources and Environment Yangtze University Wuhan430100 China College of Environmental Science and Engineering Hunan University Key Laboratory of Environmental Biology and Pollution Control Hunan University Ministry of Education Changsha410082 China

Various antibiotics often coexist in contaminated water which can pose a threat to the ecological environment and human health. Conventional water treatment technologies generally have low efficiency to simultaneously remove multiple antibiotics, due to the antagonistic effect among them. To address this issue, a bimetal composite corncob biochar catalyst (Fe-MOF-CC@MoS2) was explored for the peroxymonosulfate (PMS) activation to degrade various antibiotics simultaneously in this study. The Fe-MOF-CC@MoS2 was prepared by a simple green hydrothermal carbonization method and characterized. The degradation performance of Fe-MOF-CC@MoS2 for coexisted antibiotics from the aqueous phase was evaluated. The results indicated that the Fe-MOF-CC@MoS2/PMS system exhibited a superior degradation efficiency of antibiotics compared to Fe-MOF-CC/PMS system, due to the acceleration of the Fe 2+/Fe3+ transformation by active Mo4+. Fe-MOF-CC@MoS2/PMS system could simultaneously remove four different types of antibiotics and the removal efficiencies of tetracycline hydrochloride, ciprofloxacin, nitrofurantoin and sulfamethoxazole were 96.51%, 92.30%, 88.96%, and 80.76%, respectively. Electron spin resonance and quenching experiments demonstrated that the cooperation of radical (SO4•-, •OH and •O2-) and non-radical (1O2) in Fe-MOF-CC@MoS2/PMS system leaded to a higher removal efficiency. In addition, Fe-MOF-CC@MoS2 could be applied in water with a broad scope of pH (3.0 ~ 9.0) and inorganic anions, as evidenced by the little effect of Cl- and NO3- on the degradation efficiencies. Moreover, the Fe-MOF-CC@MoS2 presented good reusability through five cycles test. Accordingly, producing Fe-MOF-CC@MoS2 using agricultural waste corncob (CC) by a simple green hydrothermal carbonization method may provide a promising alternative for the multi-targeted removal of coexisted antibiotics from real water, meanwhile recovering resources. © 2022, The Authors. All rights reserved.

关键词： Antibiotics

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PSO-SVM optimized DBD plasma for energy-efficient degradation of sulfamethoxazole in wastewater

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Journal of Environmental sciences 2025年

作者： Jia-Wei Song Ju-Xiang Chen Wen-Hai Chu Yu-Qiong Gao Nai-Yun Gao College of Ecology and Environment Xinjiang University Urumqi 830017 China College of Civil Engineering and Architecture Xinjiang University Urumqi 830047 China State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and Engineering Tongji University Shanghai 200092 China School of Environment and Architecture University of Shanghai for Science and Technology Shanghai 200093 China

Conventional treatment methods struggle to effectively eliminate sulfamethoxazole (SMX) from wastewater due to its persistent aromatic structure and sulfonamide moiety, while existing advanced oxidation processes often suffer from high energy consumption and inadequate degradation pathway control. This study demonstrates an advanced approach for SMX degradation in aqueous systems through dielectric barrier discharge (DBD) plasma technology synergistically integrated with COMSOL multiphysics simulation and particle swarm optimization-support vector machine (PSO-SVM) modeling. Computational simulations revealed that the DBD plasma generates a diffuse arc (D-A) mode electric field with Penning ionization effects, where primary reactive species formation predominantly occurs within the sheath layer. Under optimized operational parameters (input power: 50 W, pH 7, conductivity: 3.16 μS/cm, initial concentration: 10 mg/L, the carrier gas: air), the system achieved an exceptional SMX removal efficiency of 99.82 %, corresponding to a constant reaction rate of 0.3087 min −1 . The machine learning-optimized process simultaneously enhanced energy yield by 18.11 mg/kW·h and improved energy utilization efficiency by 15.11%. Notably, the system maintained robust performance (>75% SMX removal) in the presence of competing inorganic anions (NO 3 − , HCO 3 − and Cl − ). Mechanistic investigations combining DFT, EPR and UPLC-MS/MS elucidated that •OH, O 2 •− , 1 O 2 , •NO 2 and ONOOH preferentially attack the electrophilic N(4), N(7), and N(17) sites, initiating sequential diazotization and nitration pathways. Practical validation using hospital wastewater demonstrated significant removal of COD (56.17 %) and TOC (40.16 %), while effectively suppressing antimicrobial resistance genes. This work establishes PSO-SVM optimized DBD plasma as a sustainable and intelligent solution for pharmaceutical wastewater remediation.

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A constraint importance measure-based beluga whale optimization algorithm for reliability redundancy allocation problems considering mixed redundancy strategy

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Reliability engineering & System Safety 2025年

作者： Shuai Zhang Huiqi Du Zhiqiang Cai Shubin Si Jiangbin Zhao School of Mechanical Engineering Northwestern Polytechnical University Xi’an China 710072 Ministry of Industry and Information Technology Key Laboratory of Industrial Engineering and Intelligent Manufacturing Northwestern Polytechnical University Xi’an China 710072 School of Mechanical Engineering Xi’an University of Science and Technology Xi’an China 710054 Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Detection and Control Xi’an University of Science and Technology Xi’an China 710054

The reliability redundancy allocation problem (RRAP) aims to maximize system reliability by determining the optimal combination of component reliability and subsystem redundancy. RRAP plays an important role in the reliability improvement of complex systems, and it is necessary to determine the cost-effective RRAP solution effectively for complex systems. This paper constructs the constraint importance measure (CIM) to identify the key subsystems by considering the relationship between objective function and constraints. A CIM-based local search rule is designed to improve the system reliability by making the best use of limited resources. CIM-based beluga whale optimization (CIMBWO) is developed by combining the advantages of CIM and BWO. In numerical experiments, compared with GA, PSO, and BWO, the performance of CIMBWO is verified by two benchmarks and 11 different scale hybrid systems. The results show that CIMBWO can get better solutions with fast convergence and high robustness.

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Frontispiece: Rapid N2O Formation from N2on Water Droplet Surfaces

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Angewandte Chemie International Edition 2025年第9期64卷

作者： Qi Jiang Dr. Deming Xia Xiaofan Li Prof. Dr. Hong Zhang Dr. Rujing Yin Dr. Huaijun Xie Prof. Dr. Hong-bin Xie Prof. Dr. Jie Jiang Prof. Dr. Jingwen Chen Prof. Dr. Joseph S. Francisco Key Laboratory of Industrial Ecology and Environmental Engineering (MOE) Dalian Key Laboratory on Chemicals Risk Control and Pollution Prevention Technology School of Environmental Science and Technology Dalian University of Technology Dalian 116024 China Department of Earth and Environmental Science University of Pennsylvania Philadelphia Pennsylvania 19104-6316 United States School of Marin Science and Technology Harbin Institute of Technology at Weihai Weihai Shandong 264209 China

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Mechanistic Insights into the Sequestration of Antibiotics in Aquatic Sediments and the Microbial Phylogenetic Divergence between the Aqueous and Sediment Phases on the Fate of Antibiotic Resistance Genes

SSRN

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SSRN 2023年

作者： Ohore, Okugbe Ebiotubo Zhang, Jingli Ifon, Binessi Edouard Kumwimba, Mathieu Nsenga Mu, Xiaoying Kuang, Dai Wang, Zhen Gu, Ji-Dong Yang, Guojing Key Laboratory of Tropical Diseases Control National Health Commission Key Laboratory of Tropical Translational Medicine of Ministry of Education School of Tropical Medicine Hainan Medical University Hainan Haikou571199 China Key Laboratory of Tropical Translational Medicine of Ministry of Education School of Tropical Medicine Hainan Medical University Hainan Haikou571199 China The First Affiliated Hospital of Hainan Medical University Hainan Haikou China Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention Guangdong Provincial Key Laboratory of Marine Biotechnology Shantou University Shantou515063 China Department of Clinical Medicine Shantou University Medical College Guangdong Shantou515041 China Department of Civil and Environmental Engineering Shantou University Shantou515063 China Laboratory of Physical Chemistry University of Abomey-Calavi Republic of Benin Cotonou01 BP 4521 Benin State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing100085 China State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China Center for Water and Ecology State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China Environmental Science and Engineering Program Guangdong Technion - Israel Institute of Technology 241 Daxue Road Jinping District Guangdong Shantou515063 China Guangdong Provincial Key Laboratory of Materials and Technologies for Energy Conversion Guangdong Technion Israel Institute of Technology 241 Daxue Road Jinping District Guangdong Shantou515063 China

Antibiotic pollution and the evolution of antibiotic resistance genes (ARGs) are critical issues of global significance. This study investigated the sequestration of antibiotics onto aquatic sediments and the microbial phylogenetic divergence between the aqueous and sedimentary phases on antibiotic resistome profiles. The total concentration of antibiotics in the surface water (49.5%) was significantly higher than suspended particulate matter (31.4%), and sedimental phases (19.1%). However, the relative abundance of ARGs in surface water and sediment was disproportionate to the abundance of antibiotics concentration, and sediments were the predominant ARGs reservoirs. Phylogenetic divergence of the microbial communities between the surface water and the sedimentary ecosystems resulted in a significant shift in the ARGs profiles between the two distinctive surface-water and sediments. Priority ARGs of Clinical importance;blaGES, MCR-7.1, ermB, tet(34), tet36, tetG-01, and sul2 were significantly increased in the surface water, while blaCTX-M-01, blaTEM, blaOXA10-01, blaVIM, tet(W/N/W), tetM02, and ermX were amplified in the sediments. cfxA was an endemic ARG in surface-water ecosystems while the endemic ARGs of the sedimentary ecosystems included aacC4, aadA9-02, blaCTX-M-04, blaIMP-01, blaIMP-02, bla-L1, penA, erm(36), ermC, ermT-01, msrA-01, pikR2, vgb-01, mexA, oprD, ttgB, and aac. These findings provide crucial information for the identification of ARGs-specific high-risk reservoirs © 2023, The Authors. All rights reserved.

关键词： Antibiotics

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Microbial Phylogenetic Divergence between Surface-Water and Sedimentary Ecosystems Drove the Resistome Profiles

SSRN

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SSRN 2023年

Antibiotic pollution and the evolution of antibiotic resistance genes (ARGs) are critical issues of global significance. This study investigated the fate of antibiotics in sedimentary and aqueous substrates and the impact of ecosystem shift between water and sedimentary phases on resistome profiles. The total concentration of antibiotics in the surface water (49.5%) was significantly higher than suspended particulate matter (31.4%), and sedimental phases (19.1%). However, the relative abundance of ARGs in surface water and sediment was disproportionate to the abundance of antibiotics concentration, and sediments were the predominant ARGs reservoirs. Phylogenetic divergence of the microbial communities between the surface water and the sedimentary ecosystems resulted in a significant shift in the ARGs profiles between the two distinctive surface-water and sediments. ARGs of Clinical importance;blaGES, MCR-7.1, ermB, tet(34), tet36, tetG-01, and sul2 were significantly increased in the surface water, while blaCTX-M-01, blaTEM, blaOXA10-01, blaVIM, tet(W/N/W), tetM02, and ermX were amplified in the sediments. cfxA was an endemic ARG in surface-water ecosystems while the endemic ARGs of the sedimentary ecosystems included aacC4, aadA9-02, blaCTX-M-04, blaIMP-01, blaIMP-02, bla-L1, penA, erm(36), ermC, ermT-01, msrA-01, pikR2, vgb-01, mexA, oprD, ttgB, and aac. These findings provide crucial information for the identification of ARGs-specific high-risk reservoirs © 2023, The Authors. All rights reserved.

关键词： Antibiotics

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Microplastics Decrease the Toxicity of Sulfamethoxazole to Marine Algae (Skeletonema Costatum) at the Cellular and Molecular Levels

SSRN

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SSRN 2021年

作者： Li, Xue Luo, Jiwei Zeng, Hui Zhu, Lin Lu, Xueqiang Tianjin Key Laboratory of Environmental Technology for Complex Trans-Media Pollution Tianjin International Joint Research Center for Environmental Biogeochemical Technology College of Environmental Science and Engineering Nankai University Tianjin300350 China Key Laboratory of Pollution Processes and Environmental Criteria of Ministry of Education Tianjin Key Laboratory of Environmental Remediation and Pollution Control College of Environmental Science and Engineering Nankai University Tianjin300350 China

Microplastics (MPs) and sulfamethoxazole (SMX) are ubiquitous in various aquatic environments, but little is known about their joint toxicity mechanism on marine organisms. This study investigated the individual and joint toxicity of SMX and five MPs, including polypropylene (PP), polyethylene (PE), polyethylene terephthalate (PET), polystyrene (PS) and bioplastic polylactic acid (PLA), on Skeletonema costatum . The inhibition rates (IR) of the single MPs systems (50 mg/L) followed the order of PP > PE > PLA > PS > PET, while the addition of 0.3 mg/L SMX significantly decreased the toxicity of PP, PE and PLA in the joint system due to the "shelter" effect from MPs adsorption. As for the PS and SMX joint system, the malondialdehyde (MDA), reactive oxygen species (ROS) levels and superoxide dismutase (SOD) activity were higher than those of the other joint systems. The metabolomic results showed that SMX downregulated glycerophospholipid and amino acid metabolism. PS caused the downregulation of glycerophospholipids, carbohydrates and amino acid via the hetero-aggregation with algae. These findings enhance our understanding of the potential mechanisms of the MPs and organic pollutants joint toxicity in the marine environment. © 2021, The Authors. All rights reserved.

关键词： Microplastic

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