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基于全二维气相色谱的食品工业中广泛使用的酿酒酵母属挥发外代谢组图谱代谢组学策略。

Metabolomics strategy for the mapping of volatile exometabolome from Saccharomyces spp. widely used in the food industry based on comprehensive two-dimensional gas chromatography.

机构信息

Departamento de Química & QOPNA, Universidade de Aveiro, Aveiro, Portugal.

Departamento de Biologia & CESAM, Universidade de Aveiro, Aveiro, Portugal.

出版信息

J Sep Sci. 2017 May;40(10):2228-2237. doi: 10.1002/jssc.201601296. Epub 2017 May 4.

Abstract

Saccharomyces spp. are widely used in the food and beverages industries. Their cellular excreted metabolites are important for general quality of products and can contribute to product differentiation. This exploratory study presents a metabolomics strategy for the comprehensive mapping of cellular metabolites of two yeast species, Saccharomyces cerevisiae and S. pastorianus (both collected in an industrial context) through a multidimensional chromatography platform. Solid-phase microextraction was used as a sample preparation method. The yeast viability, a specific technological quality parameter, was also assessed. This untargeted analysis allowed the putative identification of 525 analytes, distributed over 14 chemical families, the origin of which may be explained through the pathways network associated with yeasts metabolism. The expression of the different metabolic pathways was similar for both species, event that seems to be yeast genus dependent. Nevertheless, these species showed different growth rates, which led to statistically different metabolites content. This was the first in-depth approach that characterizes the headspace content of S. cerevisiae and S. pastorianus species cultures. The combination of a sample preparation method capable of providing released volatile metabolites directly from yeast culture headspace with comprehensive two-dimensional gas chromatography was successful in uncovering a specific metabolomic pattern for each species.

摘要

酿酒酵母属(Saccharomyces spp.)广泛应用于食品和饮料行业。其细胞分泌的代谢产物对产品的总体质量很重要,并且有助于产品差异化。本探索性研究提出了一种代谢组学策略,通过多维色谱平台全面绘制两种酵母(均在工业环境中收集)的细胞代谢物图谱,所用方法为固相微萃取作为样品制备方法。还评估了酵母的生存能力,这是一个特定的技术质量参数。这种非靶向分析允许假定鉴定出 525 种分析物,分布在 14 个化学家族中,其来源可以通过与酵母代谢相关的途径网络来解释。两种物种的不同代谢途径表达相似,这似乎是酵母属特有的。然而,这些物种表现出不同的生长速度,这导致了统计上不同的代谢物含量。这是首次深入分析酿酒酵母(Saccharomyces cerevisiae)和发酵酒香酵母(S. pastorianus)培养物顶空的内容。能够直接从酵母培养物顶空提供释放的挥发性代谢物的样品制备方法与全面二维气相色谱相结合,成功揭示了每种物种的特定代谢组学模式。

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