Comprehensive Classification and Regression Modeling of Wine Samples Using <sup>1</sup>H NMR Spectra

Comprehensive Classification and Regression Modeling of Wine Samples Using <sup>1</sup>H NMR Spectra

Recently, <sup>1</sup>H NMR (nuclear magnetic resonance) spectroscopy was presented as a viable option for the quality assurance of foods and beverages, such as wine products. Here, a complex chemometric analysis of red and white wine samples was carried out based on their <sup>1&l...

Full description

Bibliographic Details
Main Authors: Gábor Barátossy, Mária Berinkeiné Donkó, Helga Csikorné Vásárhelyi, Károly Héberger, Anita Rácz
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Foods
Subjects:
wine
machine learning
spectroscopy
cross-validation
metabolomics
Online Access:https://www.mdpi.com/2304-8158/10/1/64

Internet

https://www.mdpi.com/2304-8158/10/1/64

Similar Items