2024
DOI: 10.1002/etc.5857
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Predicting Hydrocarbon Primary Biodegradation in Soil and Sediment Systems Using System Parameterization and Machine Learning

Craig W. Davis,
David M. Brown,
Chesney Swansborough
et al.

Abstract: Technical complexity associated with biodegradation testing, particularly for substances of unknown or variable composition, complex reaction products, or biological materials (UVCB), necessitates the advancement of non‐testing methods such as quantitative structure–property relationships (QSPRs). Models for describing the biodegradation of petroleum hydrocarbons (HCs) have been previously developed. A critical limitation of available models is their inability to capture the variability in biodegradation rates… Show more

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