Combination of Machine Learning and Analytical Correlations for Establishing Quantitative Compliance between the Trolox Equivalent Antioxidant Capacity Values Obtained via Electron Paramagnetic Resonance and Ultraviolet–Visible Spectroscopies

Combination of Machine Learning and Analytical Correlations for Establishing Quantitative Compliance between the Trolox Equivalent Antioxidant Capacity Values Obtained via Electron Paramagnetic Resonance and Ultraviolet–Visible Spectroscopies

Recent interest in the antioxidant capacity of foods and beverages is based on the established medical knowledge that antioxidants play an essential role in counteracting the damaging effects of free radicals, preventing human neurodegenerative diseases, cardiovascular disorders, and even cancer. At...

Full description

Bibliographic Details
Main Authors: Eugene B. Postnikov, Mariola Bartoszek, Justyna Polak, Mirosław Chorążewski
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:International Journal of Molecular Sciences
Subjects:
antioxidant capacity
wine
CatBoost machine learning
EPR spectroscopy
UV–vis spectrophotometry
Online Access:https://www.mdpi.com/1422-0067/23/19/11743

Internet

https://www.mdpi.com/1422-0067/23/19/11743

Similar Items