Cool-Climate Red Wines—Chemical Composition and Comparison of Two Protocols for 1H–NMR Analysis

This study investigates the metabolome of 26 experimental cool-climate wines made from 22 grape varieties using two different protocols for wine analysis by proton nuclear magnetic resonance (1H–NMR) spectroscopy. The wine samples were analyzed as-is (wet) and as dried samples. The NMR datasets were...

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Main Authors: Violetta Aru, Klavs Martin Sørensen, Bekzod Khakimov, Torben Bo Toldam-Andersen, Søren Balling Engelsen
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Molecules
Subjects:
Online Access:http://www.mdpi.com/1420-3049/23/1/160
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author Violetta Aru
Klavs Martin Sørensen
Bekzod Khakimov
Torben Bo Toldam-Andersen
Søren Balling Engelsen
author_facet Violetta Aru
Klavs Martin Sørensen
Bekzod Khakimov
Torben Bo Toldam-Andersen
Søren Balling Engelsen
author_sort Violetta Aru
collection DOAJ
description This study investigates the metabolome of 26 experimental cool-climate wines made from 22 grape varieties using two different protocols for wine analysis by proton nuclear magnetic resonance (1H–NMR) spectroscopy. The wine samples were analyzed as-is (wet) and as dried samples. The NMR datasets were preprocessed by alignment and mean centering. No normalization or scaling was performed. The “wet” method preserved the inherent properties of the samples and provided a fast and effective overview of the molecular composition of the wines. The “dried” method yielded a slightly better sensitivity towards a broader range of the compounds present in wines. A total of 27 metabolites including amino acids, organic acids, sugars, and alkaloids were identified in the 1H–NMR spectra of the wine samples. Principal component analysis was performed on both NMR datasets evidencing well-defined molecular fingerprints for ‘Baco Noir’, ‘Bolero’, ‘Cabernet Cantor’, ‘Cabernet Cortis’, ‘Don Muscat’, ‘Eszter’, ‘Golubok’, ‘New York Muscat’, ‘Regent’, ‘Rondo’, ‘Triomphe d’Alsace’, ‘Précose Noir’, and ‘Vinoslivy’ wines. Amongst the identified metabolites, lactic acid, succinic acid, acetic acid, gallic acid, glycerol, and methanol were found to drive sample groupings. The 1H–NMR data was compared to the absolute concentration values obtained from a reference Fourier transform infrared method, evidencing a high correlation.
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spelling doaj.art-6901f2f61ff74c66ad9cf8ffff00a3822022-12-22T02:29:08ZengMDPI AGMolecules1420-30492018-01-0123116010.3390/molecules23010160molecules23010160Cool-Climate Red Wines—Chemical Composition and Comparison of Two Protocols for 1H–NMR AnalysisVioletta Aru0Klavs Martin Sørensen1Bekzod Khakimov2Torben Bo Toldam-Andersen3Søren Balling Engelsen4Department of Food Science, University of Copenhagen, Rolighedsvej 26, DK-1958 Frederiksberg, DenmarkDepartment of Food Science, University of Copenhagen, Rolighedsvej 26, DK-1958 Frederiksberg, DenmarkDepartment of Food Science, University of Copenhagen, Rolighedsvej 26, DK-1958 Frederiksberg, DenmarkDepartment of Plant and Environmental Sciences, University of Copenhagen, Højbakkegård Alle 13, DK-2630 Taastrup, DenmarkDepartment of Food Science, University of Copenhagen, Rolighedsvej 26, DK-1958 Frederiksberg, DenmarkThis study investigates the metabolome of 26 experimental cool-climate wines made from 22 grape varieties using two different protocols for wine analysis by proton nuclear magnetic resonance (1H–NMR) spectroscopy. The wine samples were analyzed as-is (wet) and as dried samples. The NMR datasets were preprocessed by alignment and mean centering. No normalization or scaling was performed. The “wet” method preserved the inherent properties of the samples and provided a fast and effective overview of the molecular composition of the wines. The “dried” method yielded a slightly better sensitivity towards a broader range of the compounds present in wines. A total of 27 metabolites including amino acids, organic acids, sugars, and alkaloids were identified in the 1H–NMR spectra of the wine samples. Principal component analysis was performed on both NMR datasets evidencing well-defined molecular fingerprints for ‘Baco Noir’, ‘Bolero’, ‘Cabernet Cantor’, ‘Cabernet Cortis’, ‘Don Muscat’, ‘Eszter’, ‘Golubok’, ‘New York Muscat’, ‘Regent’, ‘Rondo’, ‘Triomphe d’Alsace’, ‘Précose Noir’, and ‘Vinoslivy’ wines. Amongst the identified metabolites, lactic acid, succinic acid, acetic acid, gallic acid, glycerol, and methanol were found to drive sample groupings. The 1H–NMR data was compared to the absolute concentration values obtained from a reference Fourier transform infrared method, evidencing a high correlation.http://www.mdpi.com/1420-3049/23/1/1601H–NMRFT-IRcool-climate winesDanish winesLalVigne MaturePometumwine as-isdried winesPCA
spellingShingle Violetta Aru
Klavs Martin Sørensen
Bekzod Khakimov
Torben Bo Toldam-Andersen
Søren Balling Engelsen
Cool-Climate Red Wines—Chemical Composition and Comparison of Two Protocols for 1H–NMR Analysis
Molecules
1H–NMR
FT-IR
cool-climate wines
Danish wines
LalVigne Mature
Pometum
wine as-is
dried wines
PCA
title Cool-Climate Red Wines—Chemical Composition and Comparison of Two Protocols for 1H–NMR Analysis
title_full Cool-Climate Red Wines—Chemical Composition and Comparison of Two Protocols for 1H–NMR Analysis
title_fullStr Cool-Climate Red Wines—Chemical Composition and Comparison of Two Protocols for 1H–NMR Analysis
title_full_unstemmed Cool-Climate Red Wines—Chemical Composition and Comparison of Two Protocols for 1H–NMR Analysis
title_short Cool-Climate Red Wines—Chemical Composition and Comparison of Two Protocols for 1H–NMR Analysis
title_sort cool climate red wines chemical composition and comparison of two protocols for 1h nmr analysis
topic 1H–NMR
FT-IR
cool-climate wines
Danish wines
LalVigne Mature
Pometum
wine as-is
dried wines
PCA
url http://www.mdpi.com/1420-3049/23/1/160
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AT klavsmartinsørensen coolclimateredwineschemicalcompositionandcomparisonoftwoprotocolsfor1hnmranalysis
AT bekzodkhakimov coolclimateredwineschemicalcompositionandcomparisonoftwoprotocolsfor1hnmranalysis
AT torbenbotoldamandersen coolclimateredwineschemicalcompositionandcomparisonoftwoprotocolsfor1hnmranalysis
AT sørenballingengelsen coolclimateredwineschemicalcompositionandcomparisonoftwoprotocolsfor1hnmranalysis