Identification and differentiation of different species of microorganisms were explored through spectroscopy. The mid-infrared (MIR) and near-infrared (NIR) spectral profiles of five different microorganisms could be classified into separate groups when spectral data were compressed using principal component analysis (PCA) and processed by canonical variate analysis (CVA). Fourier transform mid-infrared (FT-MIR) spectroscopy was found to be a rapid method for identification and differentiation of not only closely related Escherichia coli strains but also pathogenic and non-pathogenic E. coli strains. Results clearly demonstrate the potential of FT-MIR spectroscopy as a tool for microbial strain identification and classification. The method is rapid, inexpensive, reproducible, and requires minimum sample preparation.
|Original language||English (US)|
|Number of pages||7|
|Journal||Transactions of the American Society of Agricultural Engineers|
|State||Published - May 1 2004|
All Science Journal Classification (ASJC) codes
- Agricultural and Biological Sciences (miscellaneous)