Authentication of the geographical origin of Australian Cabernet Sauvignon wines using spectrofluorometric and multi-element analyses with multivariate statistical modelling

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dc.contributor.authorRanaweera, R.K.R.
dc.contributor.authorGilmore, A.M.
dc.contributor.authorCapone, D.L.
dc.contributor.authorBastian, S.E.P.
dc.contributor.authorJeffery, D.W.
dc.date.issued2021
dc.description.abstractWith the increased risk of wine fraud, a rapid and simple method for wine authentication has become a necessity for the global wine industry. The use of fluorescence data from an absorbance and transmission excitation-emission matrix (A-TEEM) technique for discrimination of wines according to geographical origin was investigated in comparison to inductively coupled plasma-mass spectrometry (ICP-MS). The two approaches were applied to commercial Cabernet Sauvignon wines from vintage 2015 originating from three wine regions of Australia, along with Bordeaux, France. Extreme gradient boosting discriminant analysis (XGBDA) was examined among other multivariate algorithms for classification of wines. Models were cross-validated and performance was described in terms of sensitivity, specificity, and accuracy. XGBDA classification afforded 100% correct class assignment for all tested regions using the EEM of each sample, and overall 97.7% for ICP-MS. The novel combination of A-TEEM and XGBDA was found to have great potential for accurate authentication of wines.
dc.description.statementofresponsibilityRanaweera K.R. Ranaweera, Adam M. Gilmore, Dimitra L. Capone, Susan E.P. Bastian, David W. Jeffery ... et al.
dc.identifier.citationFood Chemistry, 2021; 335:1-8
dc.identifier.doi10.1016/j.foodchem.2020.127592
dc.identifier.issn0308-8146
dc.identifier.issn1873-7072
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/2440/129996
dc.language.isoen
dc.publisherElsevier
dc.relation.granthttp://purl.org/au-research/grants/arc/IC170100008
dc.rights© 2020 Elsevier Ltd. All rights reserved.
dc.source.urihttps://doi.org/10.1016/j.foodchem.2020.127592
dc.subjectAuthenticity
dc.subjectChemometrics
dc.subjectColour
dc.subjectExcitation-emission matrix
dc.subjectFluorescence spectroscopy
dc.subjectPhenolics
dc.titleAuthentication of the geographical origin of Australian Cabernet Sauvignon wines using spectrofluorometric and multi-element analyses with multivariate statistical modelling
dc.typeJournal article
pubs.publication-statusPublished

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