Quality evaluation of Cabernet Sauvignon wines in different vintages by 1H nuclear magnetic resonance-based metabolomics

A proton nuclear magnetic resonance (NMR)-based metabolomic study was used to characterize 2009, 2010, 2011, and 2012 vintages of Cabernet Sauvignon wines from Ningxia, which were vinified using the same fermentation technique. The pattern recognition methods of principal component analysis (PCA), p...

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Autores principales:	Xu Shaochen, Zhu Jiangyu, Zhao Qi, Gao Jin, Zhang Huining, Hu Boran
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2021
Materias:	cabernet sauvignon vintage metabolomics nmr pattern recognition Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/491a64f8812a4ce89d14cda6105b732a
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spelling	oai:doaj.org-article:491a64f8812a4ce89d14cda6105b732a2021-12-05T14:10:43ZQuality evaluation of Cabernet Sauvignon wines in different vintages by 1H nuclear magnetic resonance-based metabolomics2391-542010.1515/chem-2020-0126https://doaj.org/article/491a64f8812a4ce89d14cda6105b732a2021-03-01T00:00:00Zhttps://doi.org/10.1515/chem-2020-0126https://doaj.org/toc/2391-5420A proton nuclear magnetic resonance (NMR)-based metabolomic study was used to characterize 2009, 2010, 2011, and 2012 vintages of Cabernet Sauvignon wines from Ningxia, which were vinified using the same fermentation technique. The pattern recognition methods of principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and orthogonal PLS-DA (OPLS-DA) clearly distinguished between the different vintages of wine driven by the following metabolites: valine, 2,3-butanediol, ethyl acetate, proline, succinic acid, lactic acid, acetic acid, glycerol, gallic acid, and choline. The PLS-DA loading plots also differentiated among the metabolites of different vintages. In the 2009 vintage wines, we found the highest levels of gallic acid, valine, proline, and 2,3-butanediol. The 2011 vintage wines contained the highest levels of lactic acid, and the highest levels of ethyl acetate, succinic acid, glycerol, and choline were observed in the 2012 vintage wines. We selected eight metabolites from the 1H NMR spectra that were quantified according to their peak areas, and the concentrations were in agreement with the results of PLS-DA and OPLS-DA analyses.Xu ShaochenZhu JiangyuZhao QiGao JinZhang HuiningHu BoranDe Gruyterarticlecabernet sauvignonvintagemetabolomicsnmrpattern recognitionChemistryQD1-999ENOpen Chemistry, Vol 19, Iss 1, Pp 385-399 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cabernet sauvignon vintage metabolomics nmr pattern recognition Chemistry QD1-999
spellingShingle	cabernet sauvignon vintage metabolomics nmr pattern recognition Chemistry QD1-999 Xu Shaochen Zhu Jiangyu Zhao Qi Gao Jin Zhang Huining Hu Boran Quality evaluation of Cabernet Sauvignon wines in different vintages by 1H nuclear magnetic resonance-based metabolomics
description	A proton nuclear magnetic resonance (NMR)-based metabolomic study was used to characterize 2009, 2010, 2011, and 2012 vintages of Cabernet Sauvignon wines from Ningxia, which were vinified using the same fermentation technique. The pattern recognition methods of principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and orthogonal PLS-DA (OPLS-DA) clearly distinguished between the different vintages of wine driven by the following metabolites: valine, 2,3-butanediol, ethyl acetate, proline, succinic acid, lactic acid, acetic acid, glycerol, gallic acid, and choline. The PLS-DA loading plots also differentiated among the metabolites of different vintages. In the 2009 vintage wines, we found the highest levels of gallic acid, valine, proline, and 2,3-butanediol. The 2011 vintage wines contained the highest levels of lactic acid, and the highest levels of ethyl acetate, succinic acid, glycerol, and choline were observed in the 2012 vintage wines. We selected eight metabolites from the 1H NMR spectra that were quantified according to their peak areas, and the concentrations were in agreement with the results of PLS-DA and OPLS-DA analyses.
format	article
author	Xu Shaochen Zhu Jiangyu Zhao Qi Gao Jin Zhang Huining Hu Boran
author_facet	Xu Shaochen Zhu Jiangyu Zhao Qi Gao Jin Zhang Huining Hu Boran
author_sort	Xu Shaochen
title	Quality evaluation of Cabernet Sauvignon wines in different vintages by 1H nuclear magnetic resonance-based metabolomics
title_short	Quality evaluation of Cabernet Sauvignon wines in different vintages by 1H nuclear magnetic resonance-based metabolomics
title_full	Quality evaluation of Cabernet Sauvignon wines in different vintages by 1H nuclear magnetic resonance-based metabolomics
title_fullStr	Quality evaluation of Cabernet Sauvignon wines in different vintages by 1H nuclear magnetic resonance-based metabolomics
title_full_unstemmed	Quality evaluation of Cabernet Sauvignon wines in different vintages by 1H nuclear magnetic resonance-based metabolomics
title_sort	quality evaluation of cabernet sauvignon wines in different vintages by 1h nuclear magnetic resonance-based metabolomics
publisher	De Gruyter
publishDate	2021
url	https://doaj.org/article/491a64f8812a4ce89d14cda6105b732a
work_keys_str_mv	AT xushaochen qualityevaluationofcabernetsauvignonwinesindifferentvintagesby1hnuclearmagneticresonancebasedmetabolomics AT zhujiangyu qualityevaluationofcabernetsauvignonwinesindifferentvintagesby1hnuclearmagneticresonancebasedmetabolomics AT zhaoqi qualityevaluationofcabernetsauvignonwinesindifferentvintagesby1hnuclearmagneticresonancebasedmetabolomics AT gaojin qualityevaluationofcabernetsauvignonwinesindifferentvintagesby1hnuclearmagneticresonancebasedmetabolomics AT zhanghuining qualityevaluationofcabernetsauvignonwinesindifferentvintagesby1hnuclearmagneticresonancebasedmetabolomics AT huboran qualityevaluationofcabernetsauvignonwinesindifferentvintagesby1hnuclearmagneticresonancebasedmetabolomics
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Quality evaluation of Cabernet Sauvignon wines in different vintages by 1H nuclear magnetic resonance-based metabolomics

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