A novel approach to discriminate the volatilome of Vitis vinifera berries by selected ion flow tube mass Spectrometry analysis and chemometrics.
GC-MS
Grapevine
Phenotyping
SIFT-MS
Statistical pipeline
Volatilome
Journal
Food research international (Ottawa, Ont.)
ISSN: 1873-7145
Titre abrégé: Food Res Int
Pays: Canada
ID NLM: 9210143
Informations de publication
Date de publication:
07 2022
07 2022
Historique:
received:
22
04
2022
revised:
20
05
2022
accepted:
25
05
2022
entrez:
28
6
2022
pubmed:
29
6
2022
medline:
30
6
2022
Statut:
ppublish
Résumé
This study investigated a quick way to discriminate grape varieties based on their composition in volatile compounds through a SIFT-MS scan coupled with simple chemometrics approaches such as analysis of variance (ANOVA), principal component analysis (PCA) and hierarchical ascendant classification (HAC). The 23 studied grape varieties were distinguishable using O
Identifiants
pubmed: 35761674
pii: S0963-9969(22)00491-4
doi: 10.1016/j.foodres.2022.111434
pii:
doi:
Substances chimiques
Ions
0
Volatile Organic Compounds
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
111434Informations de copyright
Copyright © 2022 Elsevier Ltd. All rights reserved.