Kümmerle M, Scherer S, Seiler H
Institut für Mikrobiologie, Forschungszentrum für Milch und Lebensmittel Weihenstephan, Technische Universität München, D-85354 Freising, Germany.
Appl Environ Microbiol. 1998 Jun;64(6):2207-14. doi: 10.1128/AEM.64.6.2207-2214.1998.
Computer-based Fourier-transform infrared spectroscopy (FT-IR) was used to identify food-borne, predominantly fermentative yeasts. Dried yeast suspensions provided the films suitable for FT-IR measurement. Informative windows in the spectrum were selected and combined to achieve optimal results. A reference spectrum library was assembled, based on 332 defined yeast strains from international yeast collections and our own isolates. All strains were identified with conventional methods using physiological and morphological characteristics. In order to assess identification quality, another 722 unknown yeast isolates not included in the reference spectrum library were identified both by classical methods and by comparison of their FT-IR spectra with those of the reference spectrum library. Ninety-seven and one-half percent of these isolates were identified correctly by FT-IR. Easy handling, rapid identification within 24 h when starting from a single colony, and a high differentiation capacity thus render FT-IR technology clearly superior to other routine methods for the identification of yeasts.
基于计算机的傅里叶变换红外光谱(FT-IR)被用于鉴定食源的、主要为发酵型的酵母。干燥的酵母悬浮液提供了适合FT-IR测量的薄膜。选择并组合光谱中的信息窗口以获得最佳结果。基于来自国际酵母菌种保藏中心的332个已定义酵母菌株和我们自己分离得到的菌株,建立了一个参考光谱库。所有菌株均使用生理和形态学特征通过传统方法进行鉴定。为了评估鉴定质量,对参考光谱库中未包含的另外722株未知酵母分离株,既采用经典方法进行鉴定,又将其FT-IR光谱与参考光谱库的光谱进行比较来鉴定。这些分离株中有97.5%通过FT-IR被正确鉴定。易于操作、从单个菌落开始在24小时内即可快速鉴定以及具有高鉴别能力,因此使得FT-IR技术明显优于其他用于酵母鉴定的常规方法。