A review of wine authentication using spectroscopic approaches in combination with chemometrics

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dc.contributor.authorRanaweera, R.K.R.
dc.contributor.authorCapone, D.L.
dc.contributor.authorBastian, S.E.P.
dc.contributor.authorCozzolino, D.
dc.contributor.authorJeffery, D.W.
dc.date.issued2021
dc.descriptionPublished: 17 July 2021
dc.description.abstractIn 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.
dc.description.statementofresponsibilityRanaweera K. R. Ranaweera, Dimitra L. Capone, Susan E. P. Bastian, Daniel Cozzolino and David W. Jeffery
dc.identifier.citationMolecules, 2021; 26(14):4334-1-4334-15
dc.identifier.doi10.3390/molecules26144334
dc.identifier.issn1420-3049
dc.identifier.issn1420-3049
dc.identifier.orcidRanaweera, R.K.R. [0000-0003-0578-3457]
dc.identifier.orcidCapone, D.L. [0000-0003-4424-0746]
dc.identifier.orcidBastian, S.E.P. [0000-0002-8790-2044]
dc.identifier.orcidJeffery, D.W. [0000-0002-7054-0374]
dc.identifier.urihttp://hdl.handle.net/2440/131630
dc.language.isoen
dc.publisherMDPI AG
dc.relation.granthttp://purl.org/au-research/grants/arc/IC170100008
dc.rightsCopyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
dc.source.urihttps://doi.org/10.3390/molecules26144334
dc.subjectauthenticity
dc.subjectmultivariate analysis
dc.subjectwine fingerprinting
dc.subjectspectral data
dc.subjectmachine learning
dc.titleA review of wine authentication using spectroscopic approaches in combination with chemometrics
dc.typeJournal article
pubs.publication-statusPublished

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