Predicting Primary Biodegradation of Petroleum Hydrocarbons in Aquatic Systems: Integrating System and Molecular Structure Parameters using a Novel Machine‐Learning Framework

Quantitative structure–property relationship (QSPR) models for predicting primary biodegradation of petroleum hydrocarbons have been previously developed. These models use experimental data generated under widely varied conditions, the effects of which are not captured adequately within model formal...

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Detalles Bibliográficos
Autores principales: Davis, Craig Warren, Camenzuli, Louise, Redman, Aaron D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Environmental Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320815/
https://www.ncbi.nlm.nih.gov/pubmed/35262215
http://dx.doi.org/10.1002/etc.5328

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320815/
https://www.ncbi.nlm.nih.gov/pubmed/35262215
http://dx.doi.org/10.1002/etc.5328

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