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Sensitive and specific discrimination of pathogenic and nonpathogenic Escherichia coli using Raman spectroscopy—a comparison of two multivariate analysis techniques

机译:使用拉曼光谱法对致病性和非致病性大肠杆菌进行敏感性和特异性区分-两种多元分析技术的比较

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摘要

The determination of bacterial identity at the strain level is still a complex and time-consuming endeavor. In this study, visible wavelength spontaneous Raman spectroscopy has been used for the discrimination of four closely related Escherichia coli strains: pathogenic enterohemorrhagic E. coli O157:H7 and non-pathogenic E. coli C, E. coli Hfr K-12, and E. coli HF4714. Raman spectra from 600 to 2000 cm−1 were analyzed with two multivariate chemometric techniques, principal component-discriminant function analysis and partial least squares-discriminant analysis, to determine optimal parameters for the discrimination of pathogenic E. coli from the non-pathogenic strains. Spectral preprocessing techniques such as smoothing with windows of various sizes and differentiation were investigated. The sensitivity and specificity of both techniques was in excess of 95%, determined by external testing of the chemometric models. This study suggests that spontaneous Raman spectroscopy with visible wavelength excitation is potentially useful for the rapid identification and classification of clinically-relevant bacteria at the strain level.
机译:在菌株水平上确定细菌身份仍然是一项复杂且费时的工作。在这项研究中,可见光自发拉曼光谱已用于区分四种密切相关的大肠杆菌菌株:致病性肠出血性大肠杆菌O157:H7和非致病性大肠杆菌C,大肠杆菌Hfr K-12和E大肠杆菌HF4714。用两种多元化学计量学技术(从主成分判别函数分析和偏最小二乘判别分析)分析了600至2000 cm-1的拉曼光谱,以确定从非病原菌菌株中区分致病性大肠杆菌的最佳参数。研究了光谱预处理技术,例如使用各种大小的窗口进行平滑和微分。通过化学计量学模型的外部测试确定,两种技术的灵敏度和特异性都超过95%。这项研究表明,具有可见光波长激发的自发拉曼光谱对于在菌株水平上快速鉴定和分类临床相关细菌具有潜在的帮助。

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