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拉曼光谱和化学计量学用于鉴定和区分葡萄酒污染酵母——酿酒酵母、毕赤酵母和布鲁塞尔酒酵母。

Raman spectroscopy and chemometrics for identification and strain discrimination of the wine spoilage yeasts Saccharomyces cerevisiae, Zygosaccharomyces bailii, and Brettanomyces bruxellensis.

机构信息

Department of Enology and Viticulture, California State University, Fresno, Fresno, California, USA.

出版信息

Appl Environ Microbiol. 2013 Oct;79(20):6264-70. doi: 10.1128/AEM.01886-13. Epub 2013 Aug 2.

Abstract

The yeasts Zygosaccharomyces bailii, Dekkera bruxellensis (anamorph, Brettanomyces bruxellensis), and Saccharomyces cerevisiae are the major spoilage agents of finished wine. A novel method using Raman spectroscopy in combination with a chemometric classification tool has been developed for the identification of these yeast species and for strain discrimination of these yeasts. Raman spectra were collected for six strains of each of the yeasts Z. bailii, B. bruxellensis, and S. cerevisiae. The yeasts were classified with high sensitivity at the species level: 93.8% for Z. bailii, 92.3% for B. bruxellensis, and 98.6% for S. cerevisiae. Furthermore, we have demonstrated that it is possible to discriminate between strains of these species. These yeasts were classified at the strain level with an overall accuracy of 81.8%.

摘要

酿酒酵母、毕赤酵母(异型,布鲁塞尔酒香酵母)和酿酒酵母是葡萄酒成品的主要污染菌。本研究建立了一种利用拉曼光谱结合化学计量学分类工具来识别这些酵母物种和区分这些酵母菌株的新方法。采集了 6 株酿酒酵母、毕赤酵母和酿酒酵母的拉曼光谱。对这些酵母的分类具有很高的灵敏度,达到了种属水平:93.8%的酿酒酵母、92.3%的毕赤酵母和 98.6%的酿酒酵母。此外,我们还证明了可以区分这些种属的菌株。这些酵母在菌株水平上的总体分类准确率为 81.8%。

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