Attenuated Total Reflection Fourier Transform Infrared (ATR‐FT‐IR) Spectroscopy and chemometric modelling, including soft independent modelling by class analogy (SIMCA), partial least squares discriminant analysis (PLS‐DA) and support vector machine (SVM), were applied to attempt to discriminate 60 clinical isolates of Enterococcus faecium and Enterococcus faecalis and hence evaluate the performance of the spectroscopic approach in identifying enterococci infections.

中文翻译：

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衰减全反射傅里叶变换红外光谱结合化学计量学模型对临床相关肠球菌进行分类

衰减全反射傅立叶变换红外（ATR‐FT‐IR）光谱和化学计量学建模，包括基于类比的软独立建模（SIMCA），偏最小二乘判别分析（PLS‐DA）和支持向量机（SVM）试图区分粪便肠球菌和粪肠球菌的60种临床分离株，从而评估光谱法在鉴定肠球菌感染中的性能。