A bi-layer model for nondestructive prediction of soluble solids content in apple based on reflectance spectra and peel pigments

A bi-layer model for nondestructive prediction of soluble solids content in apple based on... •Effective Wavelengths of SSC were selected from the flesh and peel-flesh layers spectra.•Variable selection models of chlorophyll, carotenoid and anthocyanin were developed.•The effects of peel colors on SSC prediction model were explored.•An optimal SSC bi-layer model that insensitive to the peel color distribution was built. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Food Chemistry Elsevier

A bi-layer model for nondestructive prediction of soluble solids content in apple based on reflectance spectra and peel pigments

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier Ltd
ISSN
0308-8146
D.O.I.
10.1016/j.foodchem.2017.07.045
Publisher site
See Article on Publisher Site

Abstract

•Effective Wavelengths of SSC were selected from the flesh and peel-flesh layers spectra.•Variable selection models of chlorophyll, carotenoid and anthocyanin were developed.•The effects of peel colors on SSC prediction model were explored.•An optimal SSC bi-layer model that insensitive to the peel color distribution was built.

Journal

Food ChemistryElsevier

Published: Jan 15, 2018

References

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