A Review of Wine Authentication Using Spectroscopic Approaches in Combination with Chemometrics.
authenticity
machine learning
multivariate analysis
spectral data
wine fingerprinting
Journal
Molecules (Basel, Switzerland)
ISSN: 1420-3049
Titre abrégé: Molecules
Pays: Switzerland
ID NLM: 100964009
Informations de publication
Date de publication:
17 Jul 2021
17 Jul 2021
Historique:
received:
15
06
2021
revised:
12
07
2021
accepted:
14
07
2021
entrez:
24
7
2021
pubmed:
25
7
2021
medline:
21
9
2021
Statut:
epublish
Résumé
In a global context where trading of wines involves considerable economic value, the requirement to guarantee wine authenticity can never be underestimated. With the ever-increasing advancements in analytical platforms, research into spectroscopic methods is thriving as they offer a powerful tool for rapid wine authentication. In particular, spectroscopic techniques have been identified as a user-friendly and economical alternative to traditional analyses involving more complex instrumentation that may not readily be deployable in an industry setting. Chemometrics plays an indispensable role in the interpretation and modelling of spectral data and is frequently used in conjunction with spectroscopy for sample classification. Considering the variety of available techniques under the banner of spectroscopy, this review aims to provide an update on the most popular spectroscopic approaches and chemometric data analysis procedures that are applicable to wine authentication.
Identifiants
pubmed: 34299609
pii: molecules26144334
doi: 10.3390/molecules26144334
pmc: PMC8307441
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Wine Australia
ID : WA Ph1909
Organisme : Australian Research Council
ID : IC170100008
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