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-...

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Detalles Bibliográficos
Autores principales: Hong, Yajun, Feng, Chenglian, Jin, Xiaowei, Xie, Huiyu, Liu, Na, Bai, Yingchen, Wu, Fengchang, Raimondo, Sandy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
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

Internet

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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