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SSRN 2023年

作者： Pei, Wenkai Wang, Yu Liu, Yujie Zhou, Liang Lei, Juying Zhang, Jinlong National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery School of Resources and Environmental Engineering East China University of Science and Technology Shanghai200237 China ShanghaiEngineeringResearchCenterforMulti-mediaEnvironmentalCatalysisandResourceUtilization East China University of Science and Technology 130 Meilong Road Shanghai200237 China Key Laboratory for Advanced Materials Joint International Research Laboratory of Precision Chemistry and Molecular Engineering Feringa Nobel Prize Scientist Joint Research Center School of ChemistryandMolecularEngineering EastChinaUniversityofScienceandTechnology 130MeilongRoad Shanghai200237 China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 China State Key Laboratory of Urban Water Resource and Environment Harbin Institute of Technology Harbin150090 China

The activation of peroxymonosulfate (PMS) by metal-based materials is currently considered to have great potential for pollutant treatment. However, secondary environmental damage from common transition metals is often unavoidable. Rare earth metals with high energy level, multi-electron configuration and unique 4f orbital can be used as an electron transfer bridge to reduce interfacial energy loss and promote electron transfer, which were incorporated the catalyst to activate PMS. In this study, calcination and hydrothermal method were combined to fabricated LaCO3OH coupled with N, S co-doped graphene(LCOH/GNS), which exhibited superior catalytic performance in PMS activation for LVX degradation. LaCO3OH(LCOH) was first used for PMS activation and showed excellent degradation properties and reduced ecotoxicity. The doping of N and S in the graphene matrix enhances the adsorption of PMS, electron transfer and reduces metal ion leaching, thus promoting the interaction and reaction between LCOH and PMS. The degradation process may involve multiple-oxidative pathways, which was confirmed by radical quenching experiments and the EPR technique. This study provided a novel method for the rational design of rare earth metal based-carbon catalysts, and LCOH/GNS-PMS was expected to be a promising technology for antibiotic degradation in wastewater treatment. © 2023, The Authors. All rights reserved.

关键词： Graphene

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Polyvinyl chloride microplastics and drought co-exposure alter rice growth by affecting metabolomics and proteomics

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Science of the Total Environment 2024年 955卷 177002页

作者： Khan, Kiran Yasmin Ali, Barkat Ghani, Hafiz Usman Cui, Xiaoqiang Luo, Xiaohan Ali, Zeshan Ahmed, Waqar Tan, Jinglu Lysenko, Vladimir Guo, Ya Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi214122 China Food Science Research Institute National Agricultural Research Centre Islamabad44000 Pakistan Hebei Medical University Shijiazhuang050000 China School of Environmental Science and Engineering/Tianjin Key Lab of Biomass Waste Utilization Tianjin University Tianjin300072 China Ecotoxicology Research Program Institute of Plant and Environmental Protection National Agriculture Research Center Islamabad44000 Pakistan Department of Biomedical Biological & Chemical Engineering University of Missouri ColumbiaMO65211 United States Southern Federal University Academy of Biology and Biotechnology Rostov-on-Don344041 Russia International Joint Research Center for Intelligent Optical Sensing and Applications at Jiangnan University Wuxi214122 China

Microplastics, interacting with drought stress, have become threat to crops by altering soil environment. Currently, the effect of combined microplastic and drought stress on crop growth remain poorly understood. In this work, the mechanism of multi-stress responses was investigated under the exposure of polvinylchloride microplastic (PV) and drought (D) individually and in combination (DPV) on rice varieties Hanyou73 and Q280 through proteomics and metabolomic analysis. All treatments negatively affect chlorophyll content, antioxidant enzyme activities, rice grain composition, metabolome and proteomic profiling of both rice varieties. Full rice grain yield was decreased under all treatments except PV treatment in which it was increased in both rice varieties. DPV treatment shows the lowest grain yield and more adverse effects on metabolome by affecting glycerophospholipid metabolism, tryptophan metabolism and alanine, aspartate and glutamate metabolism. Soluble sugar contents were decreased in H73 but in Q280 increased by 159 % under DPV and 123 % in PV treatment, compared to their control group. The results from metabolomics illustrate that glycerophospholipid metabolism is commonly altered in both rice types under all treatments. PV and drought alone and in combination induce extensive alterations in proteomics of rice leaves especially impacting proteins related to binding, translation and photosynthetic process. The results reveal that PV and DPV treatments highly distort the abundance of metabolites and proteins in both rice types, demonstrating that microplastic toxicity effects on rice plants become more severe when combined with drought stress. © 2024 Elsevier B.V.

关键词： Drought Metabolite Polyvinyl chloride microplastic Protein Rice

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Regulation of the phytotoxic response of Arabidopsis thaliana to the Fusarium mycotoxin deoxynivalenol

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Journal of Integrative Agriculture 2020年第3期19卷 759-767页

作者： WANG Yan YAN Hao WANG Qi ZHENG Ran XIA Kai LIU Yang Department of Food Science and Technology Zhejiang University of TechnologyHangzhou 310014P.R.China Zhejiang Provincial Center for Disease Control and Prevention Hangzhou 310051P.R.China Institute of Food Science and Technology Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport ProcessMinistry of Agriculture and Rural AffairsBeijing 100193P.R.China Beijing Key Laboratory of the Innovative Development of Functional Staple and the Nutritional Intervention for Chronic Disease China National Research Institute of Food and Fermentation Industries Co.Ltd.Beijing 100015P.R.China

Phytopathogenic fungi,such as Fusarium spp.,synthesize trichothecene family *** type B trichothecene,namely deoxynivalenol(DON),is highly prevalent in small-grain cereals,such as wheat,corn and *** is thought to be a virulence factor allowing plant infections and has an elicitor *** used the model plant Arabidopsis thaliana to evaluate the phytotoxic effects of DON in host *** growth of *** on media was significantly inhibited by ***,DON induced cell death in detached leaves was observed by trypan blue *** is consistent with the phenomenon of organelle changes observed at the ultrastructural *** our study,DON exposure stimulated oxidative bursts in the leaves,resulting in the concomitant down-regulation of antioxidant enzyme defense responses and up-regulation of lipid *** addition,a real-time PCR analysis revealed that the DON treatment rapidly induced the transcription of defense genes,like AtrbohC and AtrbohD,and up-regulated the transcriptional level of the ascorbic acid peroxidase *** results suggested that DON phytotoxicity might result from reactive oxygen species pathways,and that DON production by the plant pathogen Fusarium graminearum can act as an elicitor influencing plant cell fate.

关键词： deoxynivalenol Arabidopsis thaliana cell death oxidative stress

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Optimization and Development of Wc-Co Cemented Carbide Slurry for Stereolithography-Based Additive Manufacturing

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SSRN 2023年

作者： Tan, Jinlin Chen, Yongan Ling, Xile Guo, Hongshan Sun, Jinxing Zhao, Saijin Bai, Jiaming Zhou, Peng Zhang, Dongyang Gong, Feng Shenzhen Key Laboratory of High Performance Nontraditional Manufacturing College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China Institute of Intelligent Manufacturing Technology Shenzhen Polytechnic University Shenzhen518055 China Shenzhen Blueswin Industrial Co. Ltd Shenzhen518117 China Institute of Critical Materials for Integrated Circuits Shenzhen Polytechnic University Shenzhen518000 China Hoffmann Institute of Advanced Materials Shenzhen Polytechnic University 7098 Liuxian Blvd Nanshan District Shenzhen518055 China Hubei Key Laboratory of Plasma Chemistry and Advanced Materials School of Materials Science and Engineering Wuhan Institute of Technology Wuhan430205 China College of Engineering Southern University of Science and Technology Nanshan District Shenzhen518055 China

Tungsten carbide-cobalt (WC-Co) cemented carbide has a wide rage of application prospects in a wide range of industries because of its high strength, high hardness, excellent wear resistance, high-temperature resistance, and corrosion resistance, etc. Additive manufacturing (AM) makes it possible to fabricate geometrically complex tools compared to traditional manufacturing techniques. However, the preparation of high solid loading, superior stability, and optimal curing thickness of WC-Co cemented carbide slurry remains challenging for creating dense cemented carbide parts via stereolithography-based additive manufacturing. In this work, the dispensability, stability, and curing thickness of WC-Co cemented carbide slurry were investigated. The WC-Co (94-6wt.%) cemented carbide slurry with high solid loading, low viscosity, and good stability, as well as sufficient curing thickness, was successfully achieved. This work provides a reference for additive manufacturing of near-net-shape WC-Co cemented carbide parts by stereolithography, viz. digital light processing (DLP). © 2023, The Authors. All rights reserved.

关键词： Curing

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Recursive Weighted Null-Space Fitting Method for Identification of Multivariate Systems ⁎

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IFAC-PapersOnLine 2021年第7期54卷 345-350页

作者： Mengyuan Fang Miguel Galrinho Håkan Hjalmarsson Zhejiang Engineering Laboratory of Industrial Internet Communication Technology Zhejiang Sci-Tech University Hangzhou China. State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China OHB Sweden AB Kista Sweden Centre for Advanced Bio Production and Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Sweden

Recursive identification of structured multivariate models is known to be difficult due to the general non-convexity of the likelihood function. In this work, we propose a recursive multivariate weighted null-space fitting method for identification of structured multivariate models. The proposed method first uses recursive least squares to estimate a high order non-parametric model, then a parametric model is obtained through weighted least squares from the non-parametric model. In this way, the method avoids directly optimizing a non-convex likelihood function and has guaranteed global convergency. Moreover, the proposed method is flexible in model structures and has the same finite sample performance as its off-line counterpart. We use simulation examples to illustrate the performance.

关键词： Recursive system identification multivariate systems weighted null-space fitting

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Automated machine learning-assisted enhanced product carbon footprint tracking and analysis in refinery industry: A graph-based life cycle assessment framework

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Journal of Cleaner Production 2025年 514卷

作者： Zhang, Tingwei Peng, Xin Zhong, Weimin Shen, Feifei Ding, Jinliang State Key Laboratory of Industrial Control Technology East China University of Science and Technology Shanghai200237 China State Key Laboratory of Chemical Engineering East China University of Science and Technology Shanghai200237 China School of Information Science and Engineering East China University of Science and Technology Shanghai200237 China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China Huzhou Institute of Industrial Control Technology Huzhou313099 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Liaoning Shenyang110819 China

Product carbon footprint assessment and tracking in the refinery industry mainly rely on the expertise of carbon management professionals, which leads to high service costs and involves significant manual intervention, reducing the accuracy of carbon footprint analysis. Accordingly, a data-driven automated product carbon footprint analysis framework based on life cycle assessment is developed in this work. Specifically, an integrated material-energy-carbon multi-scale emission accounting model is established to quantify CO2 emissions accurately. Subsequently, considering that traditional carbon emission allocation methods are generally based on fixed assumptions or simplified proportional relationships, which fail to fully account for the dynamic variations in complex production processes, the allocation results lack accuracy and reliability. Additionally, these methods lack sufficient flexibility and are unable to effectively adjust to the actual carbon emission characteristics of different production stages and products. A data-driven contribution-based carbon emission allocation method is proposed from the carbon flow supply–demand balance perspective to improve allocation transparency. Moreover, a graph-based automated recognition framework of product carbon footprint chains is developed to achieve process operation automation and eliminate manual operations. The proposed models and methods are applied to a real refinery production site for a case study. The results show that the developed product carbon footprint analysis framework can highlight high-energy consumption and high-emission links in the production process and pay more attention to the environmental costs of high-value products. Moreover, CO2 can act as a carbon flow regulation hub, effectively managing emissions through the balance of carbon flow supply and demand. Light oil has a higher contribution rate to CO2 emissions than heavy oil. The carbon footprint of petroleum coke is 3.8677 tCO2eq/t, ma

关键词： Carbon footprint

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Environmentally Relevant Exposure to Cotinine Induces Neurobehavioral Toxicity in Zebrafish (Danio Rerio): A Study Using Neurobehavioral and Metabolomic Approaches

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SSRN 2023年

作者： Yang, Dan Yu, Wenfei Qu, Jiajia Shen, Yuexing Yu, Jingtong Meng, Ruirui Tao, Zhen Chen, Jiangfei Du, Wei Sun, Haitong Zhe Zhang, Yunhui Chen, Yuanchen Zhao, Meirong Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province College of Environment Zhejiang University of Technology Zhejiang Hangzhou310032 China Institute of Environmental Safety and Human Health School of Public Health and Management Wenzhou Medical University Wenzhou325035 China Yunnan Provincial Key Laboratory of Soil Carbon Sequestration and Pollution Control Faculty of Environmental Science & Engineering Kunming University of Science &Technology Kunming650500 China Yusuf Hamied Department of Chemistry University of Cambridge CambridgeCB2 1EW United Kingdom Department of Earth Sciences University of Cambridge CambridgeCB2 3EQ United Kingdom College of Environmental Science and Engineering Tongji University Shanghai200092 China Innovation Research Center of Advanced Environmental Technology Eco-Industrial Innovation Institute ZJUT Zhejiang Quzhou324400 China

As an important psychoactive substance, cotinine is ubiquitous in aquatic environment and poses a threat to aquatic organisms. However, the mechanism of its adverse health impacts is remain unclear. We evaluated the effects of cotinine exposure at environmentally relevant concentrations on the development and locomotor behavior of zebrafish (Danio rerio) larvae using neurotransmitters and whole endogenous metabolism. Mild developmental toxicity and significant neurobehavior disorder, such as spontaneous movement, tactile response, and swimming speed, were observed in zebrafish. Exposure to cotinine led to significant alterations in 11 neurotransmitters, including homogentisic acid, serotonin, glutamic acid and aspartic acid, etc. 298 metabolites were identified and two pathways - linoleic acid metabolism and taurine and hypotaurine metabolism - were delineated. In addition, amino acid neurotransmitters were significantly correlated with metabolites such as arachidonic acid as well as its derivatives, steroidal compounds, and amino acids. These novel findings contribute to a comprehensive understanding of the ecological risks associated with cotinine contamination in surface waters. © 2023, The Authors. All rights reserved.

关键词： Amino acids

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Recent selection and introgression facilitated high-altitude adaptation in cattle

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Science Bulletin 2024年第21期69卷 3415-3424页

作者： Yang Lyu Fuwen Wang Haijian Cheng Jing Han Ruihua Dang Xiaoting Xia Hui Wang Jincheng Zhong Johannes A.Lenstra Hucai Zhang Jianlin Han David E.MacHugh Ivica Medugorac Maulik Upadhyay Alexander SLeonard He Ding Xiaorui Yang Ming-Shan Wang Suolang Quji Basang Zhuzha Pubu Quzhen Silang Wangmu Nima Cangjue Da Wa Weidong Ma Jianyong Liu Jicai Zhang Bizhi Huang Xingshan Qi Fuqiang Li Yongzhen Huang Yun Ma Yu Wang Yuanpeng Gao Wenfa Lu Chuzhao Lei Ningbo Chen Key Laboratory of Animal Genetics Breeding and Reproduction of Shaanxi ProvinceCollege of Animal Science and TechnologyNorthwest A&F UniversityYangling 712100China Key Laboratory of Animal Production Product Qualityand SecurityMinistry of EducationCollege of Animal Science and TechnologyJilin Agricultural UniversityChangchun 130118China Institute of Animal Science and Veterinary Medicine Shandong Academy of Agricultural SciencesShandong Key Lab of Animal Disease Control and BreedingJinan 250000China College of Veterinary Medicine Northwest A&F UniversityYangling 712100China Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Sichuan Province and Ministry of EducationSouthwest Minzu UniversityChengdu 610000China Faculty of Veterinary Medicine Utrecht UniversityUtrecht 3584 CMThe Netherlands Institute for Ecological Research and Pollution Control of Plateau Lakes School of Ecology and Environmental ScienceYunnan UniversityKunming 650500China Southwest United Graduate School Kunming 650500China Yazhouwan National Laboratory Sanya 572024China CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources Institute of Animal ScienceChinese Academy of Agriculture Sciences(CAAS)Beijing 100000China Animal Genomics Laboratory UCD School of Agriculture and Food ScienceUniversity College DublinDublin D04 V1W8Ireland UCD Conway Institute of Biomolecular and Biomedical Research University College DublinDublin D04 V1W8Ireland Population Genomics Group Department of Veterinary SciencesLMU MunichMartinsried 82152Germany Animal Genomics ETH ZurichUniversitaetstrasse 2Zurich 8006Switzerland State Key Laboratory of Genetic Resources and Evolution Yunnan Laboratory of Molecular Biology of Domestic AnimalsKunming Institute of ZoologyChinese Academy of SciencesKunming 650223China Institute of Animal Husbandry and Veterinary Science Xizang Autonomous Region Academy of Agricultural and Animal Husbandry SciencesLhasa 850000China Shigatse City Kan

During the past 3000 years,cattle on the Qinghai-Xizang Plateau have developed adaptive phenotypes under the selective pressure of hypoxia,ultraviolet(UV)radiation,and extreme *** genetic mechanism underlying this rapid adaptation is not yet well ***,we present whole-genome resequencing data for 258 cattle from 32 cattle breeds/populations,including 89 Tibetan cattle representing eight populations distributed at altitudes ranging from 3400 m to 4300 *** genomic analysis revealed that Tibetan cattle exhibited a continuous phylogeographic cline from the East Asian taurine to the South Asian indicine *** found that recently selected genes in Tibetan cattle were related to body size(HMGA2 and NCAPG)and energy expenditure(DUOXA2).We identiﬁed signals of sympatric introgression from yak into Tibetan cattle at different altitudes,covering 0.64%–3.26%of their genomes,which included introgressed genes responsible for hypoxia response(EGLN1),cold adaptation(LRP11),DNA damage repair(LATS1),and UV radiation resistance(GNPAT).We observed that introgressed yak alleles were associated with noncoding variants,including those in present *** Tibetan cattle,three yak introgressed SNPs in the EGLN1 promoter region reduced the expression of EGLN1,suggesting that these genomic variants enhance hypoxia *** together,our results indicated complex adaptation processes in Tibetan cattle,where recently selected genes and introgressed yak alleles jointly facilitated rapid adaptation to high-altitude environments.

关键词： Tibetan cattle Introgression High-altitude adaptation Noncoding variant Cis-regulation

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A Green Synthesis of Ru Modified g-C_(3)N_(4) Nanosheets for Enhanced Photocatalytic Ammonia Synthesis

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Energy Material Advances 2021年第1期2021卷 78-89页

作者： Derek Hao Jiawei Ren Ying Wang Hamidreza Arandiyan Magnus Garbrecht Xiaojuan Bai Ho Kyong Shon Wei Wei Bing-Jie Ni Centre for Technology in Water and Wastewater(CTWW) School of Civil and Environmental EngineeringUniversity of Technology Sydney(UTS)SydneyNSW 2007Australia State Key Laboratory of Rare Earth Resource Utilization Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022China Laboratory of Advanced Catalysis for Sustainability School of ChemistryThe University of SydneySydney 2006Australia Centre for Advanced Materials&Industrial Chemistry(CAMIC) School of ScienceRMIT UniversityMelbourneVIC 3000Australia Australian Centre for Microscopy and Microanalysis The University of SydneySydney 2006Australia Beijing Engineering Research Center of Sustainable Urban Sewage System Construction and Risk Control Beijing University of Civil Engineering and ArchitectureBeijing 102612China

Nitrate is a crucial environmental pollutant,and its risk on ecosystem keeps *** conversion of nitrate to ammonia can simultaneously achieve the commercialization of environmental hazards and recovery of valuable ammonia,which is green and sustainable for the ***,due to the thermodynamic and kinetic energy barriers,photocatalytic nitrate reduction usually involves a higher selectivity of the formation of nitrogen that largely limits the ammonia synthesis *** this work,we reported a green and facile synthesis of novel metallic ruthenium particle modified graphitic carbon nitride *** with bulk graphitic carbon nitride,the optimal sample had 2.93-fold photocatalytic nitrate reduction to ammonia activity(2.627 mg/h/gcat),and the NH3 selectivity increased from 50.77%to 77.9%.According to the experimental and calculated results,the enhanced photocatalytic performance is attributed to the stronger light absorption,nitrate adsorption,and lower energy barrier for the generation of *** work may provide a facile way to prepare metal modified photocatalysts to achieve highly efficient nitrate reduction to ammonia.

关键词： ammonia nitrate selectivity

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Response to Comment on"Mechanistic Understanding ofSuperoxide Radical-Mediated Degradation of PerfluorocarboxylicAcids"

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ENVIRONMENTAL SCIENCE & technology 2022年第8期56卷 5289-5291页

作者： Bai, Lu Jiang, Ying Xia, Deming Wei, Zongsu Spinney, Richard Dionysiou, Dionysios D. Minakata, Daisuke Xiao, Ruiyang Xie, Hong-Bin Chai, Liyuan Institute of Environmental Engineering School of Metallurgy and Environment Central South University Changsha 410083 China. Chinese National Engineering Research Center for Control & Treatment of Heavy Metal Pollution Changsha 410083 China. Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education) School of Environmental Science and Technology Dalian University of Technology Dalian 116024 China. Centre for Water Technology (WATEC) & Department of Engineering Aarhus University Hangøvej 2 Aarhus N DK-8200 Denmark. Department of Chemistry and Biochemistry The Ohio State University Columbus Ohio 43210 United States. Environmental Engineering and Science Program University of Cincinnati Cincinnati Ohio 45221 United States. Department of Civil and Environmental Engineering Michigan Technological University Houghton Michigan 49931 United States.

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