Puncture, MRI and NMR relaxometry data for multiscale analysis of the degradation of apple structure due to thermal treatment.

Apple MRI NMR relaxometry Texture analysis Thermal treatment

Journal

Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995

Informations de publication

Date de publication:
Jun 2021
Historique:
received: 25 02 2021
revised: 22 03 2021
accepted: 29 03 2021
entrez: 5 5 2021
pubmed: 6 5 2021
medline: 6 5 2021
Statut: epublish

Résumé

The data presented here are related to the research paper entitled "Multiscale NMR analysis of the degradation of apple structure due to thermal treatment" whose aim was to investigate the critical temperature at which the cell membranes of a Golden Delicious apple is highly damaged. Apple sticks were analyzed raw and cooked at 45, 50, 53, 60 °C and 70 °C. The firmness data refers to the puncture tests that were done using a Ta-Plus texturometer. The nuclear magnetic resonance (NMR) relaxometry and imaging data were both acquired with a 9.4 T 400WB instrument. For these three raw data collections, analysis results are also provided. These data are complementary as they cover the different scales from molecular to nearly the whole food system to enlighten the process of membrane degradation during thermal processing of apple. Our NMR data could be reused to optimize inversion algorithms dealing with ill-posed inverse problems. Both firmness and NMR data could be added to databases on food structure studies, either in physico-chemical data handbooks or review studies. Finally, these data could also be reused for the optimization of food thermal processing control.

Identifiants

pubmed: 33948457
doi: 10.1016/j.dib.2021.107029
pii: S2352-3409(21)00313-9
pmc: PMC8080459
doi:

Types de publication

Journal Article

Langues

eng

Pagination

107029

Informations de copyright

© 2021 The Authors.

Déclaration de conflit d'intérêts

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

Alexandre Leca (A)

INRAE, Avignon Université, UMR SQPOV, Avignon 84000, France.

Sylvie Clerjon (S)

INRAE, QuaPA, St Genes Champanelle 63122, France.
INRAE, PROBE research infrastructure, AgroResonance facility, St Genes Champanelle 63122, France.

Jean-Marie Bonny (JM)

INRAE, QuaPA, St Genes Champanelle 63122, France.
INRAE, PROBE research infrastructure, AgroResonance facility, St Genes Champanelle 63122, France.

Catherine Renard (C)

Transform, INRAE, Nantes 44000, France.

Amidou Sissou Traoré (AS)

INRAE, QuaPA, St Genes Champanelle 63122, France.
INRAE, PROBE research infrastructure, AgroResonance facility, St Genes Champanelle 63122, France.

Classifications MeSH