Classification and Prediction by Pigment Content in Lettuce (<i>Lactuca sativa</i> L.) Varieties Using Machine Learning and ATR-FTIR Spectroscopy

Classification and Prediction by Pigment Content in Lettuce (<i>Lactuca sativa</i> L.) Varieties Using Machine Learning and ATR-FTIR Spectroscopy

Green or purple lettuce varieties produce many secondary metabolites, such as chlorophylls, carotenoids, anthocyanins, flavonoids, and phenolic compounds, which is an emergent search in the field of biomolecule research. The main objective of this study was to use multivariate and machine learning a...

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Bibliographic Details
Main Authors: Renan Falcioni, Thaise Moriwaki, Mariana Sversut Gibin, Alessandra Vollmann, Mariana Carmona Pattaro, Marina Ellen Giacomelli, Francielle Sato, Marcos Rafael Nanni, Werner Camargos Antunes
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Plants
Subjects:
anthocyanins
carotenoids and chlorophylls
discriminant analysis
flavonoids
phenolic compounds
pigment analysis
Online Access:https://www.mdpi.com/2223-7747/11/24/3413

Internet

https://www.mdpi.com/2223-7747/11/24/3413

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