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Differentiation of whole bacterial cells based on high-throughput microarray chip printing and infrared microspectroscopic readout.

机译:基于高通量微阵列芯片打印和红外显微光谱读数对整个细菌细胞进行分化。

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摘要

Using robotic automation, a microarray printing protocol for whole bacterial cells was developed for subsequent label-free and nondestructive infrared microspectroscopic detection. Using this contact microspotting system, 24 microorganisms were printed on zinc selenide slides; these were 6 species of Listeria, 10 species of Vibrio, 2 strains of Photobacterium damselae, Yersinia enterocolitica 289, Bacillus cereus ATCC 14529, Staphylococcus aureus, ATCC 19075 (serotype 104 B), Shigella sonnei 20143, Klebsiella pneumoniae KP73, Enterobacter cloacae, Citrobacter freundii 200, and Escherichia coli. Microarrays consisting of separate spots of bacterial deposits gave consistent and reproducible infrared spectra, which were differentiated by unsupervised pattern recognition algorithms. Two multivariate analysis algorithms, principal component analysis and hierarchical cluster analysis, successfully separated most, but not all, the bacteria investigated down to the species level.
机译:使用机器人自动化,开发了用于整个细菌细胞的微阵列打印方案,用于随后的无标记和无损红外显微检测。使用这种接触式微量滴定系统,在硒化锌载玻片上印刷了24种微生物。这些是李斯特菌(Listeria)6种,弧菌(Vibrio)10种,damselae细菌,肠球菌耶尔森菌(Yersinia enterocolitica)2株,蜡状芽孢杆菌ATCC 14529,金黄色葡萄球菌,ATCC 19075(血清型104 B),索氏志贺氏菌20143,肺炎克雷伯氏杆菌KP73,肠杆菌freundii 200和大肠杆菌。由细菌沉积物的单独斑点组成的微阵列给出了一致且可重现的红外光谱,通过无监督模式识别算法对其进行了区分。两种多元分析算法,主成分分析和层次聚类分析,成功地将大多数(但不是全部)细菌分离到了物种水平。

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