Combination of two analytical techniques improves wine classification by Vineyard, Region, and vintage

•Combining two analytical techniques improved wine classification accuracy.•NMR and differential sensing array feature contribution varied according to the wine.•Wines were accurately classified according to vineyard, AVA region, and vintage year.•Untargeted NMR and targeted differential sensing arr...

Full description

Saved in:
Bibliographic Details
Published inFood chemistry Vol. 354; p. 129531
Main Authors Crook, Alexandra A., Zamora-Olivares, Diana, Bhinderwala, Fatema, Woods, Jade, Winkler, Michelle, Rivera, Sebastian, Shannon, Cassandra E., Wagner, Holden R., Zhuang, Deborah L., Lynch, Jessica E., Berryhill, Nathan R., Runnebaum, Ron C., Anslyn, Eric V., Powers, Robert
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 30.08.2021
Subjects
Chemometrics
Differential sensing
Farms
Humans
Magnetic Resonance Spectroscopy
Metabolomics
NMR
Phenols - analysis
Pinot noir
Smell
Taste
Vitis - chemistry
Wine
Wine - analysis
Wine
Metabolomics
NMR
Pinot noir
Differential sensing
Chemometrics
Online AccessGet full text

Cover

More Information
Summary:•Combining two analytical techniques improved wine classification accuracy.•NMR and differential sensing array feature contribution varied according to the wine.•Wines were accurately classified according to vineyard, AVA region, and vintage year.•Untargeted NMR and targeted differential sensing array captured distinct wine chemical signatures. Three important wine parameters: vineyard, region, and vintage year, were evaluated using fifteen Vitis vinifera L. ‘Pinot noir’ wines derived from the same scion clone (Pinot noir 667). These wines were produced from two vintage years (2015 and 2016) and eight different regions along the Pacific Coast of the United States. We successfully improved the classification of the selected Pinot noir wines by combining an untargeted 1D 1H NMR analysis with a targeted peptide based differential sensing array. NMR spectroscopy was used to evaluate the chemical fingerprint of the wines, whereas the peptide-based sensing array is known to mimic the senses of taste, smell, and palate texture by characterizing the phenolic profile. Multivariate and univariate statistical analyses of the combined NMR and differential sensing array dataset classified the genetically identical Pinot noir wines on the basis of distinctive metabolic signatures associated with the region of growth, vineyard, and vintage year.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
RR provided all wine samples for analysis. FB, JW, and RP designed all NMR experiments. AAC and JW collected all NMR data. DZO and EA designed all DS experiments. MW, SR, CES, HRW, DLZ, JEL, and NRB collected all DS experiments. FB conducted preliminary data analysis and AAC carried out all combined data analysis. AAC, DZO, FB, RR, EA, and RP wrote the manuscript.
Author Contributions
ISSN:0308-8146
1873-7072
DOI:10.1016/j.foodchem.2021.129531