Archana K M, Ravi R, Anu-Appaiah K A
Department of Food Microbiology, Council of Scientific and Industrial Research (CSIR)-Central Food Technological Research Institute (CFTRI), Mysore, Karnataka India.
Department of Sensory Science, Council of Scientific and Industrial Research (CSIR)-Central Food Technological Research Institute (CFTRI), Mysore, Karnataka India.
J Food Sci Technol. 2015 Oct;52(10):6770-6. doi: 10.1007/s13197-015-1762-y. Epub 2015 Feb 19.
Wine production is a complex process both from biochemical and microbiological point of view in which yeast plays a central role. The use of the wine yeast Saccharomyces cerevisiae and non- Saccharomyces yeasts as mixed starter cultures for wine fermentations is of increasing interest to enhance the quality of wine.The most common stress, yeast cells encounter during wine fermentation is the increase in ethanol concentration.To enhance ethanol tolerance, alteration in the cellular lipid composition is one of its defence mechanism. Ethanol tolerance and cellular fatty acid composition of alcohol producing non Saccharomyces forms were compared with enological strains of Sacccharomyces cerevisiae. Saccharomyces cerevisiae used for the study, tolerated 15 % of ethanol and the non Saccharomyces strains such as, Issatchenkia occidentalis and Issatchenkia orientalis tolerated 10 % of ethanol. On exposure of Saccharomyces cerevisiae to ethanol stress, the proportion of monounsaturated fatty acids increased with concomitant decrease in saturated fatty acids. Decrease in monounsaturated fatty acids, exhibited by non-Saccharomyces yeasts when exposed to ethanol stress, could be one of the reasons for their inability to withstand more than 10 % of alcohol. Multivariate techniques of data analysis - principal component analysis and linear discriminant analysis were employed in order to establish differentiation criteria as function of yeast strains, alcohol stress and their fatty acid profile. Based on the data, Chemometrics, such as principal component analysis and discriminant function analysis, can be successfully applied to fatty acid data to categorize the yeast.
从生化和微生物学角度来看,葡萄酒生产是一个复杂的过程,其中酵母起着核心作用。使用葡萄酒酵母酿酒酵母和非酿酒酵母作为葡萄酒发酵的混合发酵剂培养物,对于提高葡萄酒质量越来越受到关注。葡萄酒发酵过程中酵母细胞遇到的最常见压力是乙醇浓度的增加。为了提高乙醇耐受性,细胞脂质组成的改变是其防御机制之一。将产酒精的非酿酒酵母菌株的乙醇耐受性和细胞脂肪酸组成与酿酒酵母的酿酒菌株进行了比较。用于该研究的酿酒酵母能耐受15%的乙醇,而诸如西方伊萨酵母和东方伊萨酵母等非酿酒酵母菌株能耐受10%的乙醇。当酿酒酵母暴露于乙醇胁迫时,单不饱和脂肪酸的比例增加,同时饱和脂肪酸减少。非酿酒酵母在暴露于乙醇胁迫时表现出的单不饱和脂肪酸减少,可能是它们无法耐受超过10%酒精的原因之一。采用数据分析的多变量技术——主成分分析和线性判别分析,以建立作为酵母菌株、酒精胁迫及其脂肪酸谱函数的区分标准。基于这些数据,化学计量学,如主成分分析和判别函数分析,可以成功地应用于脂肪酸数据以对酵母进行分类。