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Novel non‐specific liquid fingerprint technology for wine analysis: a feasibility study
Author(s) -
Siivonen J.J.,
Väisänen P.I.,
Tiittanen S.A.,
Lehmusto M.M.,
Lehtonen P.,
Patrikainen E.,
Teimonen T.,
Törnkvist N.,
Mundill P.,
Hänninen P.,
Härmä H.
Publication year - 2014
Publication title -
australian journal of grape and wine research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.65
H-Index - 77
eISSN - 1755-0238
pISSN - 1322-7130
DOI - 10.1111/ajgw.12066
Subject(s) - wine , fingerprint (computing) , identification (biology) , computer science , chemistry , artificial intelligence , food science , botany , biology
Background and Aims A novel, rapid and simple liquid fingerprinting technology is described and demonstrated for wine identification and for quality control. Method and Results The wine sample, selected chemical modulators on the surfaces of an array, and a long lifetime luminescent europium label interact non‐specifically providing a unique luminescence fingerprint that is highly wine specific. The technique was applied to 15 red wines of different vintages from four E uropean vineyards. The fingerprint data, in addition to identification and after data processing, show a significant correlation with the results from existing F ourier transform infrared spectroscopic and spectrophotometric methods of wine analysis. Conclusions Identification of individual wines through specific luminescent fingerprints provides a simple and efficient tool to combat wine adulteration and fraud. The same principles combined with proper data processing can enable the monitoring of other parameters such as wine aging. Significance of the Study This study demonstrates a fast, affordable and rapid test platform for red wine analysis.