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A QSAR–ICE–SSD model prediction of the PNECs for alkylphenol substances and application in ecological risk assessment for rivers of a megacity
Alkylphenols (APs) are ubiquitous and generally present in higher residue levels in the environment. The present work focuses on the development of a set of in silico models to predict the aquatic toxicity of APs with incomplete/unknown toxicity data in aquatic environments. To achieve this, a QSAR-...
Autores principales: | Hong, Yajun, Feng, Chenglian, Jin, Xiaowei, Xie, Huiyu, Liu, Na, Bai, Yingchen, Wu, Fengchang, Raimondo, Sandy |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10015408/ https://www.ncbi.nlm.nih.gov/pubmed/35944286 http://dx.doi.org/10.1016/j.envint.2022.107367 |
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