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Ptfe Enhances In Situ Electro-Generation of H2o2 On Graphite Felt Cathode to Synchronously Degrade Cr(Vi) And Methyl Orange in the Flow-Through System

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SSRN 2024年

作者： Li, Li Zhang, Xinwan Shi, Yaqi Yang, Zhengwu Yin, Di Chen, Peng Zhang, Lehua National Engineering Laboratory for Industrial Wastewater Treatment East China University of Science and Technology Shanghai200237 China Department of Materials Science and Engineering City University of Hong Kong Kowloon999077 Hong Kong School of Biology Food and Environment Hefei University Hefei230601 China State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process East China University of Science and Technology Shanghai200237 China

The co-existence of toxic hexavalent chromium [Cr(VI)] and synthetic organic dyes in dyeing effluents is a prevalent issue, while the simultaneous removal of these co-contaminants remains a great challenge. Electrocatalytic reduction of oxygen to hydrogen peroxide (H2O2) as reductant in the flow-through systems by achieving efficient generation and utilization of active sites is a promising strategy for Cr(VI) reducing detoxification, and electro-generated H2O2 can simultaneously degrade organic contaminants via hydroxyl radicals (•OH). Herein, we demonstrated a microfluidic-based flow-through electro-Fenton-like system with modified graphite felt (GF) electrode by constructing a gas diffusion micro-channel to generate H2O2 in situ and simultaneously degrade Cr(VI) and methyl orange (MO). This synergistic removal system promoted the degradation of Cr(VI) and MO compared to those in individual contaminant systems (Cr(VI) reduction reached 99.9%, while MO removal efficiency reached 99% simultaneously). Simulation study indicated that the increased number of accessible active sites and its induced nanoscale convection in flow-through system accelerated the nanoscale interfacial mass transfer at PTFE-electrode-solution. Moreover, active species monitoring and the quantum chemical calculation were applied to explore the synergistic mechanism and detailed pathway on the degradation of co-existing contaminants. This work demonstrated the feasibility of simultaneously converting heavy metals and organic dyes, holding a great promise to removal multiple contaminants in complex wastewater. © 2024, The Authors. All rights reserved.

关键词： Azo dyes

Large Scale and High-Precision Crop Recognition Using Satellite Remote Sensing Images

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Large Scale and High-Precision Crop Recognition Using Satell...

Chinese Automation Congress (CAC)

作者： Xuanting Tao Jinglu Tan Jianguo Zhang Suleyman I. Allakhverdiev Zhenyu Xu Ya Guo Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi China Department of Chemical & Biomedical Engineering University of Missouri Columbia Missouri USA Wuxi Agricultural Equipment Technology Extension Center Wuxi China Timiryazev Institute of Plant Physiology RAS Moscow Russia Longcom Internet of Things Co. Ltd Hefei China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

Precise large-scale crop recognition is crucial for estimating crop yield and carbon assimilation. Current research on crop type recognition based on deep learning is often limited to a single crop and small areas, with poor model transferability. When performing multi-crop recognition over large areas, the accuracy significantly decreases. Therefore, it is necessary to establish a high-precision crop type recognition model with strong generalization capability. A deep learning model (LSTM-Transformer Parallel, LTP) based on the combination of LSTM (Long Short-Term Memory) network and Transformer self-attention mechanism architecture is proposed in this paper. The model captures the dependencies among crop NDVI time series data to achieve high-precision recognition of large-scale crop types. Experimental results show that in crop recognition experiments using small-scale agricultural area data, the recognition results of the LTP, TSMixer, and SegRNN models all performed excellently, with average accuracies of 94.55%, 94.41%, and 94.79%, respectively. In contrast, in crop recognition experiments using large-scale agricultural area data, the average accuracy of the LTP model reaches 93.77%, while the accuracies of the TSMixer and SegRNN models are 82.30% and 84.13%, respectively. This indicates that the LTP model not only performs well on small-scale agricultural area datasets but also significantly outperforms models in the literature on large-scale agricultural area datasets, demonstrating strong generalization capability. It provides a reliable method for large-scale multi-crop recognition, contributing to global food security and carbon cycle assessment.

关键词： Deep learning Analytical models Accuracy Satellites Time series analysis Crops Transformers Data models Long short term memory Remote sensing

Termini and substrate cavity engineering of D-Carbamoylase coupled with reduction of ammonium ion inhibition enhanced bioproduction of D-p-Hydroxyphenylglycine

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International Journal of Biological Macromolecules 2025年 313卷 144250页

作者： Joshua, Magezi Ajeje, Samaila Boyi Godspower, Hero Nmeri Bux, Erum Shi, Xuanping Qiao, Zhina Nwankwo, Janice Adaeze Shao, Minglong Rao, Zhiming The Key Laboratory of Industrial Biotechnology Ministry of Education School of Biotechnology Jiangnan University Jiangsu Wuxi214122 China State Key Laboratory of Food Science and Resources National Engineering Research Center for Functional Food National Engineering Research Center of Cereal and Food Biomanufacturing Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province School of Food Science and Technology Jiangnan University 1800 Lihu Road Jiangsu Wuxi214122 China Institute of Future Food Technology JITRI Yixing214200 China

Engineering of D-Carbamoylase is a promising strategy for improving industrial production of D-p-Hydroxyphenylglycine (D-p-HPG). Unlike reported strategies employed, we provide a new rational engineering approach aimed at kinetic stabilization of N and C termini, and substrate cavity modifications primarily utilizing an insilico mutant screening pipeline based on changes in Gibbs free energy to further improve activity of a reported thermostable D-Carbamoylase. The best mutants in termini modifications (Q4L, A302C) and cavity modification (T212S, N202D) were combined to form an M4 variant which showed a 1.27-fold increase in activity. When co-expressed with D-Hydantoinase, the whole cells would produce 33.314 ± 0.99 g/l of D-p-HPG in 24 h. Further improvement in productivity was achieved through whole cell Calcium Alginate immobilization that reduced Ammonium ion inhibition on D-Carbamoylase. This resulted in a 4.111-fold titer increase and the highest productivity reported;32.602 ± 2.549 g/l of D-p-HPG in 12 h. (2.717 g/l/h). Also, immobilized whole cells had operational stability, maintaining 60.68 % of the bioconversion yield of the first cycle after 6 cycles. These results therefore demonstrated a D-Carbamoylase with improved termini stability, N-Carbamoyl D-p-HPG intermediate binding and resistance to Ammonium ion inhibition which could improve industrial bioproduction and yields of D-p-HPG. © 2025

关键词： Cell immobilization

Artificial intelligence for geoscience:Progress,challenges,and perspectives

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The Innovation 2024年第5期5卷 136-160,135页

作者： Tianjie Zhao Sheng Wang Chaojun Ouyang Min Chen Chenying Liu Jin Zhang Long Yu Fei Wang Yong Xie Jun Li Fang Wang Sabine Grunwald Bryan MWong Fan Zhang Zhen Qian Yongjun Xu Chengqing Yu Wei Han Tao Sun Zezhi Shao Tangwen Qian Zhao Chen Jiangyuan Zeng Huai Zhang Husi Letu Bing Zhang Li Wang Lei Luo Chong Shi Hongjun Su Hongsheng Zhang Shuai Yin Ni Huang Wei Zhao Nan Li Chaolei Zheng Yang Zhou Changping Huang Defeng Feng Qingsong Xu Yan Wu Danfeng Hong Zhenyu Wang Yinyi Lin Tangtang Zhang Prashant Kumar Antonio Plaza Jocelyn Chanussot Jiabao Zhang Jiancheng Shi Lizhe Wang Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China School of Computer Science China University of GeosciencesWuhan 430078China State Key Laboratory of Mountain Hazards and Engineering Resilience Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610299China Key Laboratory of Virtual Geographic Environment(Ministry of Education of PRC) Nanjing Normal UniversityNanjing 210023China Data Science in Earth Observation Technical University of Munich80333 MunichGermany The National Key Laboratory of Water Disaster Prevention Yangtze Institute for Conservation and DevelopmentHohai UniversityNanjing 210098China Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China School of Geographical Sciences Nanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Soil Water and Ecosystem Sciences DepartmentUniversity of FloridaPO Box 110290GainesvilleFLUSA Materials Science Engineering Program Cooperating Faculty Member in the Department of Chemistry and Department of Physics Astronomy University of CaliforniaCaliforniaRiversideCA 92521USA Institute of Remote Sensing and Geographical Information System School of Earth and Space SciencesPeking UniversityBeijing 100871China Key Laboratory of Computational Geodynamics University of Chinese Academy of SciencesBeijing 100049China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China College of Geography and Remote Sensing Hohai UniversityNanjing 211100China Department of Geography The University of Hong KongHong Kong 999077SARChina Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing 210044China School of Environmental Science and Engineering Nanjing University of Information Science&TechnologyNanjing 210044China Collaborative Inno

This paper explores the evolution of geoscientific inquiry,tracing the progression from traditional physics-based models to modern data-driven approaches facilitated by significant advancements in artificial intelligence(AI)and data collection *** models,which are grounded in physical and numerical frameworks,provide robust explanations by explicitly reconstructing underlying physical ***,their limitations in comprehensively capturing Earth’s complexities and uncertainties pose challenges in optimization and real-world *** contrast,contemporary data-driven models,particularly those utilizing machine learning(ML)and deep learning(DL),leverage extensive geoscience data to glean insights without requiring exhaustive theoretical *** techniques have shown promise in addressing Earth science-related ***,challenges such as data scarcity,computational demands,data privacy concerns,and the“black-box”nature of AI models hinder their seamless integration into *** integration of physics-based and data-driven methodologies into hybrid models presents an alternative *** models,which incorporate domain knowledge to guide AI methodologies,demonstrate enhanced efficiency and performance with reduced training data *** review provides a comprehensive overview of geoscientific research paradigms,emphasizing untapped opportunities at the intersection of advanced AI techniques and *** examines major methodologies,showcases advances in large-scale models,and discusses the challenges and prospects that will shape the future landscape of AI in *** paper outlines a dynamic field ripe with possibilities,poised to unlock new understandings of Earth’s complexities and further advance geoscience exploration.

关键词： Earth utilizing landscape

A Novel Molecularly Imprinted Electrochemical Sensor Based on Nico 2 O 4 /Mwcnts 3d Microspheres for High-Sensitivity Analysis of Organophosphorus Pesticides in Foods

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SSRN 2024年

作者： Fa, Huanbao Zhang, Li Zhao, Tengda Yin, Wei Zhang, Yijiao Jin, SiWei Liu, Renlong Liu, Zuohua Chen, Shiqi Niu, Lidan Gong, Li School of Chemistry and Chemical Engineering Chongqing University Chongqing400044 China National-Municipal Joint Engineering Laboratory for Chemical Process Intensification and Reaction Chongqing University Chongqing400044 China Analytical and Testing Center Chongqing University Chongqing400044 China Key Laboratory of Condiment Supervision Technology State Administration for Market Regulation Chongqing Institute for Food and Drug Control China

Using molecularly imprinted polymer (MIP) covered spinel material NiCo2O4 as the sensing material, MWCNTs were introduced on the surface of NiCo2O4 microspheres through hydrothermal process to improve their electrical conductivity and specific surface area, and the quantitative determination of Dimethoate (DIM) was realized. Subsequently, the morphology and structure of the composites were characterised using scanning electron microscopy (SEM), X-ray powder diffraction (XRD), Fourier transform infrared spectroscopy (FTIR) and X-ray photoelectron spectroscopy (XPS). The electrochemical sensor has the advantages of good selectivity, high stability, low detection limit (18.52 pM) and wide linear range (0.05~10000 nM). On the one hand，DIM is rebinding on specific MIP sites on the surface of NiCo2O4/MWCNTs. On the other hand, the synergistic effect of nickel and cobalt in mixed transition metal oxides is conducive to the improvement of sensing performance. This study demonstrates that the synthesised EMIP/NiCo2O4/MWCNTs composites have good prospects for practical application in the detection of DIM. © 2024, The Authors. All rights reserved.

关键词： Fourier transform infrared spectroscopy

Cos Mediated Ni(Oh)2 Nanoflakes for Robust Supercapacitor and Methanol Electrocatalytic Oxidation

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SSRN 2022年

作者： Wang, Guosheng Xu, Zhihua Li, Zhikun Ding, Yingjie Ge, Ruixiang Xiang, Ming Wang, Geming Yan, Zhaoxiong State Key Laboratory of Precision Blasting Jianghan University Wuhan430056 China Hubei Key Laboratory of Industrial Fume and Dust Pollution Control Jianghan University Wuhan430056 China Provincial Key Laboratory of Plasma Chemistry and Advanced Materials Wuhan Institute of Technology Wuhan430073 China

Heterojunction construction is a promising strategy to enhance the charge transfer efficiency, which subsequently optimizes the utilization of the electrode material. Herein, the constructed Ni(OH)2 nanosheets on ZIF-67-derived CoS core deposited on carbon cloth (CoS@Ni(OH)2/CC) possesses a superior performance (561.6 mA h g–1 at 1 A g–1) to Ni(OH)2/CC electrode (199.4 mA h g–1). Hybrid supercapacitor (HSC) with a CoS@Ni(OH)2/CC cathode and an active carbon (AC) anode (CoS@Ni(OH)2/CC//AC) provides a skyscraping energy density of 90.8 W h Kg–1 at 800 W Kg–1 and keeps 59.7 W h Kg–1 even at 25600 W Kg–1, higher than most of the reported Ni(OH)2-related device, and possesses a marvelous capacity retention of 92.2% over 10000 charge-discharge cycles. Concurrently, CoS@Ni(OH)2/CC as an efficient electrocatalyst displays an excellent electro-catalytic activity towards methanol oxidation. The outstanding electrochemical performance of CoS@Ni(OH)2/CC is chiefly due to the mediation of the Co2+/Co3+ redox cycle for the rapid conversion of Ni2+ into Ni3+, which greatly boosts the charge-transfer efficiency in the supercapacitors and methanol electro-oxidation. This work provides a rational way to obtain high-power electrode material for supercapacitors (SCs) and electrocatalytic methanol oxidation in direct methanol fuel cells (DMFCs). © 2022, The Authors. All rights reserved.

关键词： Nickel compounds

Alterations of endotoxin distribution across different biofluids and relevant inflammatory responses by supplementing L-theanine in dairy cows during heat stress

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Animal Nutrition 2021年第4期7卷 1253-1257页

作者： Zuo Wang Lingmei Zhang Zhicai Li Yuannian Yu Lingyuan Yang Peihua Zhang Weijun Shen Fachun Wan Jianhua He Wenjun Xiao Dasheng Yang Zhiliang Tan Shaoxun Tang College of Animal Science and Technology Hunan Agricultural UniversityChangshaHunan410128China Key Laboratory of Agro-Ecological Processes in Subtropical Region National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry ProductionHunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic ProcessInstitute of Subtropical AgricultureChinese Academy of SciencesChangshaHunan410125China College of Horticulture Hunan Agricultural UniversityChangshaHunan410128China Deren Dairy Co.Ltd. ChangdeHunan415921China

The present trial was performed to reveal the regulatory effects of L-theanine on the levels of lipopolysaccharide(LPS)endotoxin within different biofluids,as well as relevant inflammatory responses of dairy cattle under heat stress *** lactating Chinese Holstein dairy cattle(189±47 d in milk,and 2±1 parities)were allocated in a completely randomized design to each of 3 dietary treatments:the control(CON,0 g/d per cow L-theanine),the low L-theanine dosage treatment(LL,16 g/d per cow L-theanine),and the high L-theanine dosage treatment(HL,32 g/d per cow L-theanine).This trial consisted of 38 d(7 d for adaption and 31 d for data and sample collection),and sample collection for rumen liquid,blood plasma or serum,and milk were conducted on the d 27 and 38,*** cattle were constantly exposed to environmental heat stress during this experiment according to the recorded temperature-humidity index(THI).In the LL treatment,LPS concentration in rumen liquid was higher(P<0.05),whilst LPS densities in plasma and milk were lower(P<0.05)than those of the *** L-theanine at 2 dosages both significantly lowered(P<0.05)the level of interleukin(IL)-1βin the *** of the present study suggested that L-theanine could be a promising additive in reducing the detrimental effects of heat stress on dairy cows,and L-theanine supplementation at 16 g/d per cow is preferred because it reduced the LPS translocation into the peripheral blood and LPS accumulation in the milk,as well as mitigated LPS-induced inflammatory reactions in dairy cows during heat *** studies are necessitated to investigate the underlying mechanisms of L-theanine in LPS alteration and inflammation alleviation.

关键词： Heat stress Endotoxin L-theanine Inflammation

Cyanometallate Framework Templated Synthesis of Hierarchically Porous La(Oh)3 for High-Efficient and Stable Phosphorus Removal from Tailwater

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SSRN 2023年

作者： Jing, Xiaoxu Zhang, Jing Li, Yungui Li, Qingqing Shen, Yi Zhang, Suorong Fang, Qile Advanced Institute of Natural Sciences Beijing Normal University Zhuhai519087 China Sichuan Provincial Sci-Tech Cooperation Base of Low-cost Wastewater Treatment Technology Department of Environmental Engineering Southwest University of Science and Technology Mianyang621010 China Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province College of Environment Zhejiang University of Technology Hangzhou310032 China Chongqing Feiyang Measurement and Control Technology Research Institute Co. Ltd Chongqing402760 China

Lanthanum (La)-based hydroxides have been recognized as promising candidates for dephosphorization due to their high affinity and selectivity for phosphate adsorption. However, the development of porous La(OH)3 materials with enriching active sites and high structural stability remains a challenge in tailwater treatment. Here we developed a novel self-templating method based on an ion-exchange mechanism to construct hierarchically porous La(OH)3, where the OH− of an alkali conversion reagent replaces the [Fe(CN)6]4− cluster within the LaFe cyanometalate (CM) precursor, simultaneously completing the hydroxide conversion and pore-creating processes. The obtained hierarchically porous La(OH)3 shows excellent structural stability with no ion leaching and can maintain its primary microsphere structure and secondary nanoneedle morphology after multiple cycles of application. Due to the abundant micropores/mesopores, there are fully exposed active sites inside and outside the porous La(OH)3 microsphere, giving it an excellent phosphate adsorption capacity (maximum capacity of 163.6 mg P/g). Its high selectivity and environmental adaptability make it a favorable adsorbent for aquaculture tailwater treatment that can rapidly reduce the dissolved inorganic phosphorus level to below 0.05 mg P/L to meet the mariculture tailwater discharge standard in a wide range of salinities and temperatures. The information gleaned in this study provides valuable guidance for the materials design of porous La-based hydroxides for phosphorus removal. © 2023, The Authors. All rights reserved.

关键词： Aquaculture

Simultaneous hydrogen production with the selective oxidation of benzyl alcohol to benzaldehyde by a noble‐metal‐free photocatalyst VC/CdS nanowires

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Chinese Journal of Catalysis 2022年第4期43卷 1165-1175页

作者： Muhammad Tayyab Yujie Liu Shixiong Min Rana Muhammad Irfan Qiaohong Zhu Liang Zhou Juying Lei Jinlong Zhang Key Laboratory for Advanced Materials Shanghai Engineering Research Center for Multi‐media Environmental Catalysis and Resource UtilizationJoint International Research Laboratory of Precision Chemistry and Molecular EngineeringFeringa Nobel Prize Scientist Joint Research CenterSchool of Chemistry and Molecular EngineeringEast China University of Science&TechnologyShanghai 200237China National Engineering Laboratory for Industrial Wastewater Treatment East China University of Science and TechnologyShanghai 200237China State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process East China University of Science and TechnologyShanghai 200237China School of Chemistry and Chemical Engineering North Minzu UniversityYinchuan 750021NingxiaChina College of Energy Soochow Institute for Energy and Materials Innovations(SIEMIS)Soochow UniversitySuzhou 215006JiangsuChina

In this work we used CdS NWs(nanowires)with vanadium carbide(VC)attached via facile electrostatic self‐assembly and calcination *** results showed that compared to pristine CdS NWs,the photocatalytic activity of CdS NWs loaded with the particular amount of VC was dramatically *** them,the VC/CS‐15 indicated the highest enhancement for simultaneous production of H2 with selective oxidation of benzyl alcohol(BO)into benzaldehyde(BD).The highest hydrogen evolution rate of 20.5 mmol g^(-1)h^(-1)was obtained with more than 99%selectivity for BD production under visible light(λ˃420 nm)irradiation for 2 h,which was almost 661 times higher than the pristine CdS *** enhancement of photocatalytic activity is due to the VC,which provides a favorable attraction for BO by lowering the zeta potential,along with the active site for hydrogen production,and retard the recombination of electron‐hole pairs by increasing the conductivity of the ***,the apparent quantum efficiency(AQE)of VC/CS‐15 for BD and H_(2)production at monochromatic 420 nm is about 7.5%.At the end of the hydrogen evolution test,the selective oxidation with more than 99%selectivity was *** hopes this work will prove its future significance and move scientific community toward a more economical way for achieving the commercialization of H_(2) by photocatalysis.

关键词： Hydrogen production Selective oxidation Benzaldehyde Noble‐metal‐free Visible light