Application of a disposable transparent filtration membrane to the infrared spectroscopic discrimination among bacterial species.

This study describes the application of filtration, infrared spectroscopy, and multivariate analysis to the identification of 10 foodborne bacterial species. The bacteria were applied by filtration to a disposable optical membrane that is transparent to infrared radiation. The filtration step was rapid (2 min). Observed cellular infrared spectra were unique and were used to discriminate among the different species. A dataset for the 10 bacterial species investigated was successfully used to correctly identify unknowns included in the dataset.