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Local spin-state manipulation of iron single-atom sites induced by sulfur modification to boost Fenton-like reaction

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Chinese Chemical Letters 2025年

作者： Lina Zou Dengke Wang Shiqin Lai Xunheng Jiang Siqi Chen Lanqing Deng Dong Fan Hengshuai Li Zhigang Zhou Denglong Chen Xiangyang Yao Jianping Zou National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization Nanchang Hangkong University Nanchang 330063 China College of Environmental and Resource Sciences Zhejiang University Hangzhou 310058 China School of Physics Science and Information Technology & Shandong Key Laboratory of Optical Communication Science and Technology Liaocheng University Liaocheng 252000 China Quangang Research Institute of Petrochemical Technology Fujian Normal University Fuzhou 350007 China Fujian Longking New Land Tech Co. Ltd. Fuzhou 350015 China

A strategy based on local spin-state manipulation was achieved through S-modification on single-Fe-atom catalysts (Fe 1 -NSC). Spectral analyses and theoretical calculations elucidated that a medium-spin reconfiguration of Fe species in Fe 1 -NSC endowed an increased orbital overlap between Fe-3d and O-2p, reinforcing the peroxymonosulfate (PMS) dissociation kinetics. Consequently, Fe 1 -NSC delivered excellent performance in PMS conversion and pollutant degradation. The specific activity of PMS activation over Fe 1 -NSC reached 36.1 × 10 -3 L min -1 m -2 , 4.2-folds that of Fe 1 -NC (8.61 × 10 -3 L min -1 m -2 ) and superior to the state-of-the-art catalysts reported to date. Importantly, the atomic spin-state modulation via S-modification can extend to other metals (Mn, Co and Cu) for improved PMS activation with > 3 times higher than those without S-modification. This work provides a universal scheme for electronic configuration regulation and highlights the significance of local environment modulation in designing high-performance catalysts for PMS activation.

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LSTM-based Frequency Hopping Sequence Prediction

LSTM-based Frequency Hopping Sequence Prediction

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Gao Li Jianliang Xu Weiguo Shen Wei Wang Zitong Liu Guoru Ding Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information Technology Nanjing University of Aeronautics and Astronautics Nanjing China Science and Technology on Communication Information Security Control Laboratory No.36 Research Institute of CETC Jiaxing China College of Communications Engineering Army Engineering University China

ISBN: (数字)9781728172361

ISBN: (纸本)9781728172378

The continuous change of communication frequency brings difficulties to the reconnaissance and prediction of non-cooperative communication. The core of this communication process is the frequency-hopping (FH) sequence with pseudo-random characteristics, which controls carrier frequency hopping. However, FH sequence is always generated by a certain model and is a kind of time sequence with certain regularity. Long Short-Term Memory (LSTM) neural network in deep learning has been proved to have strong ability to solve time series problems. Therefore, in this paper, we establish LSTM model to implement FH sequence prediction. The simulation results show that LSTM-based scheme can effectively predict frequency point by point based on historical HF frequency data. Further, we achieve frequency interval prediction based on frequency point prediction.

关键词： Predictive models Time-frequency analysis Frequency control Training Time series analysis Logic gates Spread spectrum communication

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Probabilistic ecological risk characterizing and source-specific risk apportionment of antibiotics in rivers in the sub-center of Beijing, China

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Journal of Environmental sciences 2025年

作者： Cong Men Yuting Ma Haoquan Jiang Haoxiang Tao Zifu Li Jiane Zuo School of Energy and Environmental Engineering Beijing Key Laboratory of Resource-Oriented Treatment of Industrial Pollutants University of Science and Technology Beijing Beijing 100083 China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China State Key Laboratory of Iron and Steel Industry Environmental Protection Central Research Institute of Building and Construction Co. Ltd. MCC Group Beijing 100088 China China Securities Co. Ltd. Beijing 100020 China Institute of Environment and Ecology Tsinghua Shenzhen International Graduate School Shenzhen 518055 China

The widespread occurrence of antibiotics in urban rivers has raised global concerns for ecological security. Quantitative source-specific risk apportionment of antibiotics is crucial for targeted and effective ecological risk management, but is rarely studied. In this study, a source-specific ecological risk apportionment model for antibiotics was developed by combining the ecological risk quotient (RQ) method and the positive matrix factorization (PMF) model. Based on twenty-two antibiotics in sixty-five water samples from thirteen sites in Beijing in wet and dry seasons, the spatial variation and probabilistic distribution of ecological risk associated with antibiotics were analyzed, and source-specific ecological risk was evaluated. Results showed that for the sum of all antibiotics, the mean concentration of all samples was 671.48 ng/L, and the lower limit of the 90 % confidence interval of RQs was more than ten times the threshold for the high-risk level. The main sources were identified as domestic sewage, pharmaceutical wastewater and livestock discharge. It should be noted that higher contributions to antibiotic concentrations from sources do not always result in higher levels of ecological risk. Domestic sewage and livestock discharge contributed roughly equivalent amounts (36.17 % and 37.59 %, respectively) to antibiotic concentrations. However, domestic sewage was the most dominant source for risk (63.30 %), and livestock discharge only contributed 7.37 % to risk. The study found that evaluating the source-specific ecological risk associated with antibiotics is essential in addition to identifying their sources. The source-specific ecological risk apportionment model developed in this study is also referential for related studies.

关键词： Antibiotics Urban river Ecological risk assessment Spatial distribution Source apportionment

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De Novo Designed Ru(II) Metallacycle as a Microenvironment-Adaptive Sonosensitizer and Sonocatalyst for Multidrug-Resistant Biofilms Eradication

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Angewandte Chemie 2024年第15期136卷

作者： Yuling Xu Yida Pang Lishi Luo Prof. Amit Sharma Jingfang Yang Chonglu Li Prof. Shuang Liu Dr. Jianbo Zhan Prof. Yao Sun National Key Laboratory of Green Pesticide International Joint Research Center for Intelligent Biosensor Technology and Health College of Chemistry Central China Normal University Wuhan 430079 China State Key Laboratory of Chemo/Biosensing and Chemometrics Hunan University Changsha 410082 China Amity School of Chemical Sciences Amity University Punjab Mohali 140 306 India School of Materials Science and Engineering Wuhan University of Technology Wuhan 430070 China Institute of Health Inspection and Testing Hubei Provincial Center for Disease Control and Prevention Wuhan 430070 China

Albeit sonodynamic therapy (SDT) has achieved encouraging progress in microbial sterilization, the scarcity of guidelines for designing highly effective sonosensitizers and the intricate biofilm microenvironment (BME), substantially hamper the therapeutic efficacy against biofilm infections. To address the bottlenecks, we innovatively design a Ru(II) metallacycle-based sonosensitizer/sonocatalyst (named Ru-A3-TTD ) to enhance the potency of sonotherapy by employing molecular engineering strategies tailored to BME. Our approach involves augmenting Ru-A3-TTD ’s production of ultrasonic-triggered reactive oxygen species (ROS), surpassing the performance of commercial sonosensitizers, through a straightforward but potent π-expansion approach. Within the BME, Ru-A3-TTD synergistically amplifies sonotherapeutic efficacy via triple-modulated approaches: (i) effective alleviation of hypoxia, leading to increased ROS generation, (ii) disruption of the antioxidant defense system, which shields ROS from glutathione consumption, and (iii) enhanced biofilm penetration, enabling ROS production in deep sites. Notably, Ru-A3-TTD sono-catalytically oxidizes NADPH, a critical coenzyme involved in antioxidant defenses. Consequently, Ru-A3-TTD demonstrates superior biofilm eradication potency against multidrug-resistant Escherichia coli compared to conventional clinical antibiotics, both in vitro and in vivo. To our knowledge, this study represents the pioneering instance of a supramolecular sonosensitizer/sonocatalyst. It provides valuable insights into the structure-activity relationship of sonosensitizers and paves a promising pathway for the treatment of biofilm infections.

关键词： Metallacycle Sonodynamic therapy Biofilm microenvironment Bacterial eradication

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Effects of Phytoremediation on industrial wastewater

Effects of Phytoremediation on industrial wastewater

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2019 International Conference on Civil engineering, Environment Resources and Energy Materials, CCESEM 2019

作者： Liu, Zhaojun Lin, Hua Cai, Tongbo Chen, Kaiwei Lin, Yi Xi, Yuan Chhuond, Kong College of Environmental Science and Engineering Guilin University of Technology Guilin541004 China Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology Guilin University of Technology Guilin541004 China Collaborative Innovation Center for Water Pollution Control and Water Safety in Karst Area Guilin University of Technology Guilin541004 China Faculty of Hydrology and Water Resources Engineering Institute of Technology of Cambodia Phnom Penh120000 Cambodia

Due to the development of industry, there are different levels of heavy metal pollution in domestic waters, and the treatment of heavy metal pollution is also imminent. As a hot plant for phytoremediation, Leersia hexandra Swartz has a good effect on remediation of chromium, copper and nickel polluted water. The highest removal rates of chromium, copper and nickel are 100%, 93.8% and 89.3% respectively. Leersia hexandra Swartz also has good enrichment characteristics of chromium, copper and nickel in heavy metal contaminated soil. In the soil containing chromium, copper and nickel, Leersia hexandra Swartz can grow normally and has strong tolerance to high concentration of heavy metal contaminated soil, which indicates that Leersia hexandra Swartz has certain research value in the field of remediation of heavy metal contaminated soil or water. © Published under licence by IOP Publishing Ltd.

关键词： Soils

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Unusual structural and electrical properties of CeO2-Al2O3 heterostructure electrolytes for fuel cells

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Renewable Energy 2025年 252卷

作者： Rasool, Shahzad Sarfraz Raza, Rizwan Shah, M.A.K. Yousaf Akbar, Nabeela Khalid, Muhammad Wan, Shuo Jing, Yifu Lu, Yuzheng Zhu, Bin Jiangsu Provincial Key Laboratory of Solar Energy Science and Technology/Energy Storage joint Research Center School of Energy and Environment Southeast University No.2 Si Pai Lou Nanjing210096 China College of Mechatronics and Control Engineering Shenzhen University Guangdong Province 11 518000 China Department of Physics COMSATS University Islamabad Lahore Campus Pakistan Department of Material Science Shenzhen MSU-BIT University 518000 China School of Electronic Engineering Nanjing Xiaozhuang University Nanjing211171 China

Tunning semiconductors to function as a fast ionic conductor is an innovative approach to advancing the field for low-temperature ceramic fuel cells (FCs). A significant challenge for a chemist is to design an electrolyte with conductivity exceeding 0.1 S/cm at 300–600oC. In this study, we investigate the unusual structural and electrical properties of CeO2-Al2O3 heterostructure composites as potential electrolytes for FCs. We propose a semiconductor-insulator (type-1) heterostructure approach to develop composite electrolytes for low-temperature (LT) FCs, where a built-in electric field (BIEF) at interface accelerates ions transport. Constructed CeO2-Al2O3 heterostructure electrolyte exhibits ionic conductivity reaching 0.21 S/cm, with its FC performance achieving maximum power density (MPD) of 1192 mW/cm2 at 520 °C. The type-I band alignment-based heterostructure with BIEF significantly enhances the electrochemical properties by promoting efficient charge separation and ionic conductivity while suppressing electronic conduction. The heterostructure exhibited superior electrical properties compared to individual CeO2 and Al2O3 components, making it a promising capable candidate for FC applications. © 2025 Elsevier Ltd

关键词： Ionic conductivity

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Preparation, functional mechanism, and deep-learning application of food-derived xanthine oxidase-inhibitory peptides: A comprehensive review

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Trends in Food science & technology 2025年 163卷

作者： Tian Wang Dangfeng Wang Likun Ren Lingling Dang Zongji Wang Guilin Zhang Zhongwei Liu Yuping Wang Fenglan Zhu Xuepeng Li Yang Jiang Jianrong Li Tingting Li Fangchao Cui College of Food Sciences and Technology Shanghai Ocean University Shanghai 201306 China College of Food Science and Technology Bohai University National & Local Joint Engineering Research Center of Storage Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products China Light Industry Key Laboratory of Marine Fish Processing Jinzhou Liaoning 121013 China School of Chemistry and Chemical Engineering Linyi University Linyi Shandong 276005 China Shandong Wei Kang Biomedical Technology Co. Ltd. Linyi Shandong 276017 China School of Public Health Dali University Dali Yunnan 671000 China Key Laboratory of Biotechnology and Bioresources Utilization (Dalian Minzu University) Ministry of Education Dalian Liaoning 116029 China

Background Hyperuricemia (HUA) is a metabolic disorder characterized by elevated serum uric acid (SUA) levels (>7.0 mg/dL in men and >6.0 mg/dL in women). HUA has become a global health concern and is strongly associated with various chronic diseases. In recent years, food-derived xanthine oxidase (XOD)-inhibitory peptides have gained significant attention due to their safety, nutritional value, and potent biological activity. Food-derived XOD-inhibitory peptides represent promising alternatives for HUA management. Scope and approach This review provides an overview of the sources, conventional, and emerging preparation methods of XOD-inhibitory peptides. The structure-activity relationship and mechanisms of XOD-inhibitory peptides were comprehensively summarized. Additionally, the application of deep learning was evaluated. key findings and conclusions Food-derived (including plants and animals) XOD-inhibitory peptides are mainly prepared by two methods: conventional methods, such as enzymatic hydrolysis, chemical synthesis, and microbial fermentation; and emerging technologies, such as bioinformatics, phage display, and artificial intelligence. In the optimization of peptides based on the structure-activity relationship, the XOD inhibitory activity was significantly enhanced. Food-derived XOD-inhibitory peptides may regulate UA metabolism by inhibiting XOD activity, promoting UA excretion, maintaining intestinal homeostasis, and reducing inflammation. Furthermore, deep learning models can more accurately predict peptide-XOD interactions, thereby accelerating the discovery and optimization of novel XOD-inhibitory peptides. Considering their safety and therapeutic potential, XOD-inhibitory peptides hold significant potential as supplements for HUA management.

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Semantic Embedding Based Knowledge Transfer for Zero-Sample industrial Fault Diagnosis

Semantic Embedding Based Knowledge Transfer for Zero-Sample ...

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第30届中国过程控制会议（CPCC 2019）

作者： Liangjun Feng Chunhui Zhao Youxian Sun Furong Gao Yao Yuan State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering Zhejiang University Department of Chemical and Biomolecular Engineering The Hong Kong University of Science and Technology Department of Chemical Engineering Tsing Hua University

Machine learning techniques have been successfully used for fault diagnosis in which, however, the fault samples required by learners may seldom be sufficiently *** fault diagnosis with zero samples is challenging but *** this paper, the problem of zero-sample fault diagnosis is studied in which the target faults cannot provide any samples for model *** propose the idea of using natural language to describe faults instead of samples called semantic embedding technique to tackle the zero-sample fault diagnose problem which is inspired by the feature embedding of deep transfer *** helps to construct a cascade model from data to fault classes through characteristics and implement knowledge ***, fault prototypes are defined by several characteristics of the faults, including "machine"("boiler" or "turbine"), "variable"("temperature" or "pressure"), and "property"("high" or "low"), etc., to embed a characteristic layer between data and fault *** the data-to-characteristic layer, the class-level characteristic knowledge is learned from some readily available faults and transferred to the target faults for characteristic *** the characteristic-to-class layer, the target faults are determined depending on which fault prototype fits the predicted characteristics ***, the supervised autoencoder is adopted to accelerate the data-to-characteristic learning, and two semantic coding techniques are utilized to balance the effect of different *** performance of the proposed method is illustrated with both a real industrial process and a well-known benchmark process.

关键词： Cascade model embedding technique knowledge transfer machine learning zero-sample diagnosis

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Research on Lightweight Design of Inertia Vibrator 7

Research on Lightweight Design of Inertia Vibrator

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7th Annual International Conference on Material science and engineering, ICMSE 2019

作者： Yi, Jiangang Qian, Ruixue Chen, Xinyuan Hubei Key Laboratory of Industrial Fume and Dust Pollution Control Jianghan University Wuhan430056 China Wuhan Airport Development Group Co. Ltd Wuhan430081 China College of Machinery and Automation Wuhan University of Science and Technology Wuhan430081 China

The lightweight structure design of the inertia vibrator is one the core tasks for subgrade vibration. This paper describes the relationship of the dynamic test parameters, including the vibrator weight, the vibration frequency, the vibration displacement, the landing time, and the impact force. By analysis and simulation, the influences of the static weight and the frequency on the vibrator performance are present, which is valuable for the optimal calculation of impact force. © Published under licence by IOP Publishing Ltd.

关键词： Vibrators

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Magnetic properties of the quasi two-dimensional centered honeycomb antiferromagnet GdInO3

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Physical Review B 2021年第13期104卷 134432-134432页

作者： Xunqing Yin Yunlong Li Guohua Wang Jiayuan Hu Chenhang Xu Qi Lu Yunlei Zhong Jiawang Zhao Xiang Zhao Yuanlei Zhang Yiming Cao Kun Xu Zhe Li Yoshitomo Kamiya Guo Hong Dong Qian Institute of Applied Physics and Materials Engineering University of Macau Avenida da Universidade Taipa Macau 999078 China Key Laboratory of Artificial Structures and Quantum Control (Ministry of Education) Shenyang National Laboratory for Materials Science School of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 China Center for Magnetic Materials and Devices College of Physics and Electronic Engineering Qujing Normal University Qujing 655011 China Department of Physics and Chemistry Faculty of Science and Technology University of Macau Avenida da Universidade Taipa Macau 999078 China Collaborative Innovation Center of Advanced Microstructures Nanjing 210093 China Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai 200240 China

The crystal structure and magnetic property of the single crystalline hexagonal rare-earth indium oxides GdInO3 have been studied by combing experiments and model calculations. The two inequivalent Gd3+ ions form the centered honeycomb lattice, which consists of honeycomb and triangular sublattices. The dc magnetic susceptibility and specific heat measurements suggest two antiferromagnetic phase transitions at TN1=2.3K and TN2=1.02K. An inflection point is observed in the isothermal magnetization curve, which can be an indication of an up-up-down phase with a 1/3 magnetization plateau, further supported by our theoretical calculation. We also observe a large magnetic entropy change originated from the magnetic frustration in GdInO3. By considering a classical spin Hamiltonian, we establish the ground state phase diagram, which suggests that GdInO3 has a weak easy-axis anisotropy and is close to the equilateral triangular-lattice system. The theoretical ground-state phase diagram may be used as a reference in NMR, ESR, or μSR experiments in future.

关键词： Magnetic interactions Magnetic order Magnetic phase transitions Magnetism Honeycomb lattice Magnetization measurements Monte Carlo methods

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