Fresh, freeze-dried or cell wall samples: Which is the most appropriate to determine chemical, structural and rheological variations during apple processing using ATR-FTIR spectroscopy?


Journal

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

Informations de publication

Date de publication:
15 Nov 2020
Historique:
received: 18 02 2020
revised: 12 06 2020
accepted: 14 06 2020
pubmed: 23 6 2020
medline: 17 9 2020
entrez: 23 6 2020
Statut: ppublish

Résumé

Attenuated total reflectance Fourier transform spectroscopy (ATR-FTIR) was applied on fresh (NF), freeze-dried (FD) and cell wall materials (AIS) of raw and processed apples. These samples prepared from 36 apple sets and the corresponding 72 purees, issued from different varieties, agricultural practices, storage periods and processing conditions, were used to build models including exploratory analysis, supervised classification and multivariate calibration. Fresh and freeze-dried samples presented similar fingerprint spectral variations due to processing. ATR-FTIR directly on fresh purees satisfactorily predicted textural properties such as particle average size and volume (RPD > 3.0), while freeze-drying improved assessment of chemical (RPD > 3.2) and rheological (RPD > 3.1) parameters using partial least-squares regression. The assessment of texture and macrocomponents of purees can be obtained with a limited sample preparation. For research applications because of a need of sample preparation, changes of cell wall composition during fruit processing could be assessed in relationship with pectin degradation.

Identifiants

pubmed: 32569943
pii: S0308-8146(20)31219-X
doi: 10.1016/j.foodchem.2020.127357
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

127357

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Weijie Lan (W)

UMR SQPOV, INRAE, Avignon University, F-84000 Avignon, France. Electronic address: weijie.lan@inrae.fr.

Catherine M G C Renard (CMGC)

UMR SQPOV, INRAE, Avignon University, F-84000 Avignon, France; TRANSFORM, INRAE, F-44300 Nantes, France. Electronic address: catherine.renard@inrae.fr.

Benoit Jaillais (B)

Stat SC, INRAE, ONIRIS, F-44300 Nantes, France. Electronic address: benoit.jaillais@inrae.fr.

Alexandre Leca (A)

UMR SQPOV, INRAE, Avignon University, F-84000 Avignon, France. Electronic address: alexandre.leca@inrae.fr.

Sylvie Bureau (S)

UMR SQPOV, INRAE, Avignon University, F-84000 Avignon, France. Electronic address: sylvie.bureau@inrae.fr.

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Classifications MeSH