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Characterization of biotechnologically and medically relevant yeasts (fungi) by Fourier transform infrared spectroscopy

机译:傅立叶变换红外光谱法对生物技术和医学相关酵母(真菌)的表征

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The Fourier-transform infrared spectra of intact procaryotic cells (bacteria) have already been used in the past to characterize (differentiate, classify and identify) a variety of bacterial strains and taxa. In this paper the essential features of a methodology are described which extend the FT-IR pattern recognition approach to intact eucaryotic cells (yeasts/fungi). Basically, the characteristic information pertaining to microbial FT-IR patterns is explored by applying multivariate statistics and cluster analysis to both the time and frequency domain of the mid-ir spectral data.
机译:过去已经使用了完整的预曲线细胞(细菌)的傅里叶变换红外光谱,以表征(分化,分类和鉴定)各种细菌菌株和分类。在本文中,描述了一种方法的基本特征,其延伸了FT-IR模式识别方法以形成完整的基核细胞(酵母/真菌)。基本上,通过将多元统计和集群分析应用于中红外频谱数据的时间和频域来探索与微生物FT-IR图案有关的特征信息。

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