Rodriguez-Saona L E, Khambaty F M, Fry F S, Calvey E M
Joint Institute for Food Safety and Applied Nutrition (JIFSAN), Chemistry and Biochemistry Department, University of Maryland College Park, 200 C Street S.W., Washington, DC 20204, USA.
J Agric Food Chem. 2001 Feb;49(2):574-9. doi: 10.1021/jf000776j.
The use of Fourier transform near-infrared (FT-NIR) spectroscopy and multivariate pattern recognition techniques for the rapid detection and identification of bacterial contamination in liquids was evaluated. The complex biochemical composition of bacteria yields FT-NIR vibrational transitions (overtone and combination bands) that can be used for classification and identification. Bacterial suspensions (Escherichia coli HB101, E. coli ATCC 43888, E. coli 1224, Bacillus amyloliquifaciens, Pseudomonas aeruginosa, Bacillus cereus, and Listeria innocua) were filtered to harvest the cells and eliminate the matrix, which has a strong NIR signal. FT-NIR measurements were done using a diffuse reflection-integrating sphere. Principal component analysis showed tight clustering of the bacterial strains at the information-rich spectral region of 6000-4000 cm(-1). The method reproducibly distinguished between different E. coli isolates and conclusively identified the relationship between a new isolate and one of the test species. This methodology may allow for the rapid assessment of potential bacterial contamination in liquids with minimal sample preparation.
评估了使用傅里叶变换近红外（FT-NIR）光谱和多元模式识别技术快速检测和鉴定液体中细菌污染的情况。细菌复杂的生化组成会产生可用于分类和鉴定的FT-NIR振动跃迁（泛音和组合带）。对细菌悬浮液（大肠杆菌HB101、大肠杆菌ATCC 43888、大肠杆菌1224、解淀粉芽孢杆菌、铜绿假单胞菌、蜡样芽孢杆菌和无害李斯特菌）进行过滤以收获细胞并去除具有强近红外信号的基质。使用漫反射积分球进行FT-NIR测量。主成分分析表明，在6000 - 4000 cm(-1)的信息丰富光谱区域，细菌菌株紧密聚类。该方法可重复地区分不同的大肠杆菌分离株，并最终确定新分离株与一种测试菌种之间的关系。这种方法可以在最少的样品制备情况下快速评估液体中潜在的细菌污染。
