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Introducing cerium into TiO_(2)@MnO_(x) hollow-sphere structure for highly active photothermocatalysis degradation of ethyl acetate and NO under H_(2)O at low temperature

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Journal of Rare Earths 2024年第5期42卷 889-898,I0003页

作者： Yinming Fan Yanhong Wang Morui Li Yinian Zhu Zongqiang Zhu Shengpeng Mo Lihao Zhang Shen Tang Xiaobin Zhou Yanping Zhang Collaborative innovation center for Water Pollution Control and Water Safety in karst area Guilin University of TechnologyGuilin541004China The Guangxi Key Laboratory of Theory and Technology for environmental Pollution Control.Guilin University of Technology.Guilin 541004China technical innovation center of mine geological environmental restoration engineering in southern karst area Nanning530022China

The CeO_(2)-TiO_(2)@MnO_(x) catalyst was prepared by the co-precipitation method and applied to the photothermocatalysis system of ethyl acetate and NO simultaneous degradation under H_(2)O at low temperature,which introduced Ce into TiO_(2)@MnO_(x) hollow sptrera *** optimum TiO_(2)/MnO_(x) ratio and Ce introducing amount were obtained in the *** of them,the NO and ethyl acetate conversion percentage of TiO_(2)@MnO_(x)(n_(Mn):n_(Ti)=40:40)is 74%and 62%at 240℃,***_(2)-TiO_(2)@MnO_(x)(n_(Mn):n_(Ce)=1:1)exhibits the best catalytic performance,its efficiency for NO conversion is 83%and the conversion of ethyl acetate reaches 72%at 240℃.In addition,it is confirmed that the Cedoped nanocomposites have more uniform dispersion through various characterization and analysis ***,these catalysts have a large specific surface area as well as a large number of surface-active oxygen and oxygen *** can further improve the catalytic performance based on the adjusted ratio of active ***,this work investigated the relationship between multi-metal interactions and catalytic performance in the presence of H_(2)***,the possible reaction pathways for the simultaneous removal of NO and ethyl acetate were explored in our system.

关键词： Photothermocatalysis Ethyl acetate NO Low temperature H_(2)O Rare earths

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QSAR Models for Predicting Additive and Synergistic Toxicities of Binary Pesticide Mixtures on Scenedesmus Obliquus

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Chinese Journal of Structural Chemistry 2022年第3期41卷 166-177,I0011页

作者：莫凌云袁柏康朱杰覃礼堂代俊峰 College of environmental Science and engineering Guilin University of TechnologyGuilin 541004China Guangxi Key Laboratory of environmental Pollution Control Theory and Technology Guilin University of TechnologyGuilinGuangxi 541004China technical innovation center of mine geological environmental restoration engineering in southern karst area MNRNanning 530023China Guangxi Collaborative innovation center for Water Pollution Control and Water Safety in karst area Guilin University of TechnologyGuilin 541004China

Pesticides released into the environment may pose potential risks to the ecological system and hu-man ***,existing toxicity data on pesticide mixtures still lack,especially regarding the toxic interac-tions of their *** study aimed to determine the toxic interactions of binary mixtures of pesticides on Scenedesmus Obliquus(***)and to build quantitative structure-activity relationship models(QASR)for predicting the mixture *** applying direct equipartition ray method to design binary mixtures of five pes-ticides(linuron,dimethoate,dichlorvos,trichlorfon and metribuzin),the toxicity of a single pesticide and its mix-ture was tested by microplate toxicity analysis on *** QASR models were built for combined toxicity of binary mixtures of pesticides at the half-maximal effective concentration(EC_(50)),30%maximal effective concen-tration(EC_(30))and 10%maximal effective concentration(EC_(10)).The results showed that the single toxicity follows:metribuzin>linuron>dichlorvos>trichlorfon>*** mixtures of linuron and trichlorfon,dichlorvos and metribuzin,dimethoate and metribuzin induced synergetic effects,while the remaining binary mixtures exhib-ited *** developed QSAR models were internally validated using the leave-one-out cross-validation(LOO),leave-many-out cross-validation(LMO),bootstrapping,and y-randomization test,and externally validated by the test *** three QSAR models satisfied well with the experimental values for all mixture toxicities,and presented high internally(R^(2)and Q^(2)>0.85)and externally(Q^(2)_(F1),Q^(2)_(F2),and Q^(2)_(F3)>0.80)predictive *** developed QSAR models could accurately predict the toxicity values of EC_(50),EC_(30)and EC_(10)and were superior to the concentration addition model's results(CA).Compared to the additive effect,the QSAR model could more ac-curately predict the binary mixture toxicities of pesticides with synergistic effects.

关键词： pesticide QSAR toxicity prediction binary mixture algae

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