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~(1)H NMR-Based Metabolomic Approach for Understanding the Fermentation Behaviors of Wine Yeast Strains

机译:〜(1)H NMR为基础的代谢组学方法,用于了解葡萄酒酵母菌的发酵行为

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~(1)H 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-bu-tanediol (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.
机译:〜(1)H NMR光谱结合多元统计分析首次用于调查酒精发酵过程中葡萄汁和陈酿过程中葡萄酒的代谢变化。还评估了三种酿酒酵母酵母菌株(RC-212,KIV-1116和KUBY-501)对葡萄汁和葡萄酒代谢变化的影响。模式识别(PR)方法(包括PCA,PLS-DA和OPLS-DA得分图)显示,在每个发酵阶段(长达6个月),葡萄汁或葡萄酒中代谢物的明显差异。负责分化的代谢物被鉴定为缬氨酸,2,3-丁二醇(2,3-BD),丙酮酸,琥珀酸,脯氨酸,柠檬酸,甘油,苹果酸,酒石酸,葡萄糖,N-甲基烟酸(NMNA)和多酚化合物。 PCA评分图显示,所有酵母菌株在所有必须中的第1天到第8天都在连续移动,这表明发酵是连续的和活跃的。在酒精发酵过程中,KIV-1116菌株的葡萄汁中发现最高水平的2,3-BD,琥珀酸和甘油,这表明这三个菌株的发酵最快或发酵活性最高,而KUBY-501菌株显示最慢的发酵活动这项研究强调了基于NMR的代谢组学在监测葡萄酒发酵和评估酵母菌株发酵特性方面的适用性。

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