Integration of machine learning and meta-analysis reveals the behaviors and mechanisms of antibiotic adsorption on microplastics.

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第一作者： Shuangshuang,Bi

第一单位： College of Geography and Environment, Shandong Normal University, Jinan 250358, PR China.

作者： Shuangshuang,Bi ^[1] ; Ruoying,Wu ^[1] ; Xiang,Liu ^[1] ; Peng,Wei ^[1] ; Shuling,Zhao ^[2] ; Xinru,Ma ^[1] ; Enfeng,Liu ^[1] ; Hongfeng,Chen ^[3] ; Jinling,Xu ^[4]

作者单位： College of Geography and Environment, Shandong Normal University, Jinan 250358, PR China. ^[1] State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Chinese Academy of Sciences, Yangling 712100, PR China. ^[2] College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang 443002, PR China. ^[3] College of Geography and Environment, Shandong Normal University, Jinan 250358, PR China. Electronic address: xujinling@sdnu.edu.cn. ^[4]

关键词 Adsorption Emerging contaminants Graphical user interface Meta-analysis Random forest

DOI 10.1016/j.jhazmat.2025.137479

PMID 39938361

发布时间 2025-02-12

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Journal of hazardous materials

2025年489卷

137479页

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Integration of machine learning and meta-analysis reveals the behaviors and mechanisms of antibiotic adsorption on microplastics.

Journal of hazardous materials

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Journal of hazardous materials

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Integration of machine learning and meta-analysis reveals the behaviors and mechanisms of antibiotic adsorption on microplastics.

Journal of hazardous materials

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Journal of hazardous materials

相关期刊

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