A data fusion model merging information from near infrared spectroscopy and X-ray fluorescence. Searching for atomic-molecular correlations to predict and characterize the composition of coffee blends

Published 2020 View Full Article

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Title
A data fusion model merging information from near infrared spectroscopy and X-ray fluorescence. Searching for atomic-molecular correlations to predict and characterize the composition of coffee blends
Authors
Keywords
Data fusion, Coffee quality, PLS, Atomic spectroscopy, Vibrational spectroscopy, Variable selection
Journal
FOOD CHEMISTRY
Volume 325, Issue -, Pages 126953
Publisher
Elsevier BV
Online
2020-04-30
DOI
10.1016/j.foodchem.2020.126953

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