Show simple item record

dc.rights.licenseopenen_US
hal.structure.identifierUnité de Recherche Oenologie [Villenave d'Ornon] [OENO]
dc.contributor.authorGOUGEON, Louis
hal.structure.identifierUnité de Recherche Oenologie [Villenave d'Ornon] [OENO]
dc.contributor.authorDA COSTA, Gregory
hal.structure.identifierUnité de Recherche Oenologie [Villenave d'Ornon] [OENO]
dc.contributor.authorLE MAO, Ines
hal.structure.identifierUnité de Recherche Oenologie [Villenave d'Ornon] [OENO]
dc.contributor.authorMA, Wen
hal.structure.identifierUnité de Recherche Oenologie [Villenave d'Ornon] [OENO]
dc.contributor.authorTEISSEDRE, Pierre Louis
dc.contributor.authorGUYON, Francois
hal.structure.identifierUnité de Recherche Oenologie [Villenave d'Ornon] [OENO]
dc.contributor.authorRICHARD, Tristan
dc.date.accessioned2020-09-02T07:59:55Z
dc.date.available2020-09-02T07:59:55Z
dc.date.issued2018
dc.identifier.issn1936-9751en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/10754
dc.description.abstractEnA NMR-based metabolomics method was developed to semiautomatically quantify the main components of wine. The method was applied to discriminate wines from two regions of China, Shanxi and Ningxia, which were produced by 6 wineries and for 6 vintages. Two different cultivars, Cabernet Sauvignon and Beihong, were used for winemaking. The method allowed the quantification of 33 metabolites including sugars, amino acids, organic acids, alcohols, and phenolic compounds. Depending on the compounds, the LOD values were in the range of 0.6 to 116 mg/L. The results showed that NMR-based metabolomics combined with multivariate statistical analysis allowed wine separation as a function of terroir and cultivar. Nevertheless, wine differentiation as a function of wineries and ageing would need to be examined more carefully.
dc.language.isoENen_US
dc.subjectOenologie
dc.subjectVin
dc.subjectCabernet Sauvignon
dc.subjectCultivar
dc.subjectChine
dc.subjectComposé phénolique
dc.subject.enWine Composition
dc.subject.enWine Analysis
dc.subject.enQnmr
dc.subject.enAuthenticity
dc.subject.enTraceability
dc.subject.enNmr-Based Metabolomics
dc.title.enWine analysis and authenticity using 1H-NMR metabolomics data: application to chinese wines
dc.title.alternativeFood anal. methodsen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s12161-018-1310-2en_US
dc.subject.halSciences du Vivant [q-bio]/Biologie végétaleen_US
bordeaux.journalFood Analytical Methodsen_US
bordeaux.page3425-3434en_US
bordeaux.volume11en_US
bordeaux.hal.laboratoriesOenologie - EA 4577en_US
bordeaux.issue12en_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.exportfalse
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Food%20Analytical%20Methods&rft.date=2018&rft.volume=11&rft.issue=12&rft.spage=3425-3434&rft.epage=3425-3434&rft.eissn=1936-9751&rft.issn=1936-9751&rft.au=GOUGEON,%20Louis&DA%20COSTA,%20Gregory&LE%20MAO,%20Ines&MA,%20Wen&TEISSEDRE,%20Pierre%20Louis&rft.genre=article


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record