Estimating the sensory qualities of tomatoes using visible and near-infrared spectroscopy and interpretation based on gas chromatography–mass spectrometry metabolomics

Title
Estimating the sensory qualities of tomatoes using visible and near-infrared spectroscopy and interpretation based on gas chromatography–mass spectrometry metabolomics
Authors
Keywords
Sensory attributes, Selectivity ratio, Informative wavelengths, Metabolites, Intercorrelations, Partial least squares regression, Principal component analysis
Journal
FOOD CHEMISTRY
Volume -, Issue -, Pages 128470
Publisher
Elsevier BV
Online
2020-10-24
DOI
10.1016/j.foodchem.2020.128470

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