Fruit variability impacts puree quality: Assessment on individually processed apples using the visible and near infrared spectroscopy.

Apple variability Machine learning regression Malus x domestica Borkh. Partial least square regression Two-dimensional correlation spectroscopy (2D-COS)

Journal

Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639

Informations de publication

Date de publication:
01 Oct 2022
Historique:
received: 06 08 2021
revised: 16 04 2022
accepted: 24 04 2022
pubmed: 11 5 2022
medline: 7 6 2022
entrez: 10 5 2022
Statut: ppublish

Résumé

This study was designed to have the absolute definition of 'one apple to one puree', which gave a first insight into the impacts of fruit inter-variability (between varieties) and intra-variability (between individual fruits) on the quality of processed purees. Both the inter-variability of apple varieties and the intra-variability of single apples induced intensive changes of appearance, chemical and textural properties of their corresponding microwave-cooked purees. The intra-variability of cooked purees was different according to apple cultivars. Some strong correlations of visible-near infrared (VIS-NIR) spectra were observed between fresh and cooked apples, particularly in the regions 665-685 nm and 1125-1400 nm. These correlations allowed then the indirect predictions of puree color (a* and b*, RPD ≧ 2.1), viscosity (RPD ≧ 2.3), soluble solids content (SSC, RPD = 2.1), titratable acidity (RPD = 2.8), and pH (RPD = 2.5) from the non-destructive acquired VIS-NIR spectra of raw apples.

Identifiants

pubmed: 35537239
pii: S0308-8146(22)01050-0
doi: 10.1016/j.foodchem.2022.133088
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

133088

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Auteurs

Weijie Lan (W)

INRAE, Avignon University, UMR408 Sécurité et Qualité des Produits d'Origine Végétale, F-84000 Avignon, France.

Benoit Jaillais (B)

INRAE, ONIRIS, Unité Statistiques, Sensométrie, Chimiométrie (StatSC), F-44322 Nantes, France.

Songchao Chen (S)

INRAE, Unité InfoSol, F-45075 Orléans, France.

Catherine M G C Renard (CMGC)

INRAE, Avignon University, UMR408 Sécurité et Qualité des Produits d'Origine Végétale, F-84000 Avignon, France; INRAE, TRANSFORM Division, F-44000 Nantes, France.

Alexandre Leca (A)

INRAE, Avignon University, UMR408 Sécurité et Qualité des Produits d'Origine Végétale, F-84000 Avignon, France.

Sylvie Bureau (S)

INRAE, Avignon University, UMR408 Sécurité et Qualité des Produits d'Origine Végétale, F-84000 Avignon, France. Electronic address: sylvie.bureau@inrae.fr.

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Classifications MeSH