Abstract

To address the need for a fast and sensitive method for the detection of bacterial contamination in solutions, weevaluated the use of Fourier-transform near infrared (FT-NIR) spectroscopy and multivariate pattern recognition techniques.The complex cellular composition of bacteria yields FT-NIR vibrational transitions (overtone and combination bands) thatmight be used for identification and sub-typing. Bacterial suspensions (E. coli HB1O1, E. coli ATCC43888, E. coli 1224,Pseudomonas aeruginosa, Bacillus cereus and Listeria innocua) were filtered to concentrate the cells and eliminate thematrix which has a strong NIR signal. FT-NIR measurements were done by using a diffuse reflection-integrating sphere. Theuse of a simple membrane filtration procedure to produce a thin, uniform bacterial film generated reproducible FT-NIRspectra that can be used for rapid discrimination among closely related strains. Transformation ofthe spectra with secondderivatives resolved specific FT-NIR features in the information-rich spectral region of 5000-4000 cm' to allow principalcomponents analysis to group the samples into different tight clusters. The use ofAnodisc membranes gave the morereproducible results. This methodology appears promising for the rapid evaluation of potential bacterial contamination inliquids with minimal sample manipulation.Keywords: FT-NIR Spectroscopy, Multivariate Analysis, Bacterial Classification, PCA.

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