Improving Prediction of Peroxide Value of Edible Oils Using Regularized Regression Models

We present four unique prediction techniques, combined with multiple data pre-processing methods, utilizing a wide range of both oil types and oil peroxide values (PV) as well as incorporating natural aging for peroxide creation. Samples were PV assayed using a standard starch titration method, AOCS...

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Detalles Bibliográficos
Autores principales: Gilbraith, William E., Carter, J. Chance, Adams, Kristl L., Booksh, Karl S., Ottaway, Joshua M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659081/
https://www.ncbi.nlm.nih.gov/pubmed/34885855
http://dx.doi.org/10.3390/molecules26237281

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659081/
https://www.ncbi.nlm.nih.gov/pubmed/34885855
http://dx.doi.org/10.3390/molecules26237281

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