Machine learning-based prediction of phenanthrene accumulation and toxicity in earthworms across soils.

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Title: Machine learning-based prediction of phenanthrene accumulation and toxicity in earthworms across soils.
Authors: Li GF; State Key Laboratory of Regional and Urban Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; University of Chinese Academy of Sciences, Beijing, 100049, China., Liao YK; State Key Laboratory of Regional and Urban Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; University of Chinese Academy of Sciences, Beijing, 100049, China., Chi HF; State Key Laboratory of Regional and Urban Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; University of Chinese Academy of Sciences, Beijing, 100049, China., Zhang YC; State Key Laboratory of Regional and Urban Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China., Chen CE; School of Environment, MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou, 510006, China; Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety, South China Normal University, Guangzhou, 510006, China. Electronic address: changer.chen@m.scnu.edu.cn., Cai C; State Key Laboratory of Regional and Urban Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; University of Chinese Academy of Sciences, Beijing, 100049, China. Electronic address: ccai@iue.ac.cn.
Source: Environmental research [Environ Res] 2026 Mar 15; Vol. 293, pp. 123824. Date of Electronic Publication: 2026 Jan 19.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0147621 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-0953 (Electronic) Linking ISSN: 00139351 NLM ISO Abbreviation: Environ Res Subsets: MEDLINE
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  Data: Machine learning-based prediction of phenanthrene accumulation and toxicity in earthworms across soils.
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  Data: <searchLink fieldCode="AU" term="%22Li+GF%22">Li GF</searchLink>; State Key Laboratory of Regional and Urban Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; University of Chinese Academy of Sciences, Beijing, 100049, China.<br /><searchLink fieldCode="AU" term="%22Liao+YK%22">Liao YK</searchLink>; State Key Laboratory of Regional and Urban Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; University of Chinese Academy of Sciences, Beijing, 100049, China.<br /><searchLink fieldCode="AU" term="%22Chi+HF%22">Chi HF</searchLink>; State Key Laboratory of Regional and Urban Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; University of Chinese Academy of Sciences, Beijing, 100049, China.<br /><searchLink fieldCode="AU" term="%22Zhang+YC%22">Zhang YC</searchLink>; State Key Laboratory of Regional and Urban Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.<br /><searchLink fieldCode="AU" term="%22Chen+CE%22">Chen CE</searchLink>; School of Environment, MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou, 510006, China; Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety, South China Normal University, Guangzhou, 510006, China. Electronic address: changer.chen@m.scnu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Cai+C%22">Cai C</searchLink>; State Key Laboratory of Regional and Urban Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; University of Chinese Academy of Sciences, Beijing, 100049, China. Electronic address: ccai@iue.ac.cn.
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  Data: <searchLink fieldCode="JN" term="%220147621%22">Environmental research</searchLink> [Environ Res] 2026 Mar 15; Vol. 293, pp. 123824. <i>Date of Electronic Publication: </i>2026 Jan 19.
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        Value: 10.1016/j.envres.2026.123824
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      – TitleFull: Machine learning-based prediction of phenanthrene accumulation and toxicity in earthworms across soils.
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              Text: 2026 Mar 15
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