1H NMR-Based Metabolomic Approach for Understanding the Fermentation Behaviors of Wine Yeast Strains
详细信息 查看全文
- 作者：Hong-Seok Son ; Geum-Sook Hwang ; Ki Myong Kim ; Eun-Young Kim ; Frans van den Berg ; Won-Mok Park ; Cherl-Ho Lee ; Young-Shick Hong
- 刊名：Analytical Chemistry
- 出版年：2009
- 出版时间：February 1, 2009
- 年：2009
- 卷：81
- 期：3
- 页码：1137-1145
- 全文大小：399K
- 年卷期：v.81,no.3(February 1, 2009)
- ISSN：1520-6882
文摘
1H NMR spectroscopy coupled with multivariate statistical analysis was used for the first time to investigate metabolic changes in musts during alcoholic fermentation and wines during aging. Three Saccharomyces cerevisiae yeast strains (RC-212, KIV-1116, and KUBY-501) were also evaluated for their impacts on the metabolic changes in must and wine. Pattern recognition (PR) methods, including PCA, PLS-DA, and OPLS-DA scores plots, showed clear differences for metabolites among musts or wines for each fermentation stage up to 6 months. Metabolites responsible for the differentiation were identified as valine, 2,3-butanediol (2,3-BD), pyruvate, succinate, proline, citrate, glycerol, malate, tartarate, glucose, N-methylnicotinic acid (NMNA), and polyphenol compounds. PCA scores plots showed continuous movements away from days 1 to 8 in all musts for all yeast strains, indicating continuous and active fermentation. During alcoholic fermentation, the highest levels of 2,3-BD, succinate, and glycerol were found in musts with the KIV-1116 strain, which showed the fastest fermentation or highest fermentative activity of the three strains, whereas the KUBY-501 strain showed the slowest fermentative activity. This study highlights the applicability of NMR-based metabolomics for monitoring wine fermentation and evaluating the fermentative characteristics of yeast strains.