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利用红外光谱对多种芽孢杆菌属细菌芽孢进行化学计量学分析:鉴别至菌株水平

Chemometric analysis of multiple species of Bacillus bacterial endospores using infrared spectroscopy: discrimination to the strain level.

作者信息

Forrester Joel B, Valentine Nancy B, Su Yin-Fong, Johnson Timothy J

机构信息

Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, United States.

出版信息

Anal Chim Acta. 2009 Sep 28;651(1):24-30. doi: 10.1016/j.aca.2009.08.005. Epub 2009 Aug 15.

Abstract

Previous work using infrared spectroscopy has shown potential for rapid discrimination between bacteria in either their sporulated or vegetative states, as well as between bacteria and other common interferents. For species within one physiological state, however, distinction is far more challenging, and requires chemometrics. In the current study, we have narrowed the field of study by eliminating the confounding issues of vegetative cells as well as growth media and focused on using IR spectra to distinguish only between different species all in the sporulated state. Using principal component analysis (PCA) and a classification method based upon similarity measurements, we demonstrate a successful identification rate to the species level of 85% for Bacillus spores grown and sporulated in a glucose broth medium.

摘要

先前使用红外光谱法的研究表明,该方法有潜力快速区分处于芽孢形成状态或营养状态的细菌,以及区分细菌和其他常见干扰物。然而,对于处于一种生理状态的细菌物种,进行区分则要困难得多,需要化学计量学方法。在当前的研究中,我们通过消除营养细胞以及生长培养基带来的混杂问题,缩小了研究范围,专注于利用红外光谱仅区分处于芽孢形成状态的不同细菌物种。使用主成分分析(PCA)和基于相似度测量的分类方法,我们证明了对于在葡萄糖肉汤培养基中生长并形成芽孢的芽孢杆菌孢子,在物种水平上的成功识别率达到了85%。

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