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Fourier transform infrared (FT-IR) spectroscopy measures dominantly vibrations of functional groups and highly polar bonds. Thus these (bio)chemical 'fingerprints' are made up of the vibrational features of all the samples components [1]. For microbial samples these will include DNA/RNA, proteins, membrane and cell-wall components.
FT-IR spectrometers record the interaction of IR radiation with experimental samples, measuring the frequencies at which the sample absorbs the radiation and the intensities of the absorptions. Determining these frequencies allows identification of the sample's chemical makeup, since chemical functional groups are known to absorb light at specific frequencies.
FT-IR experiments generally can be classified into the following two categories:
Qualitative analysis - where the aim is to identify the sample.
Quantitative analysis - where the intensity of an absorption (or more commonly absorptions) is related to the concentration of the component. And these may be displayed as topological image maps.
Within Microbiology, FT-IR has been shown to allow the chemically-based discrimination of intact microbial cells, without their destruction, and produces complex biochemical fingerprints which are reproducible and distinct for different bacteria. In particular Naumann and co-workers [2-3] have shown that FT-IR absorbance spectroscopy (in the mid-IR range, usually defined as 4000-400 cm-1) provides a powerful tool with sufficient resolving power to distinguish microbes at the strain level.
References:
Griffiths, P.R. and de Haseth, J.A. (1986) Fourier transform
infrared spectrometry. John Wiley, New York.
Helm, D., Labischinski, H., Schallehn, G. and Naumann, D. (1991)
Classification and identification of bacteria by Fourier transform
infrared spectroscopy. J. Gen. Microbiol. 137, 69-79.
This is the interaction of electromagnetic radiation with matter can
cause redirection of the radiation
and/or transitions between the energy levels of the atoms or
molecules. The following can happen:
The light may be scattered
Light may be emitted
We mainly use Diffuse Reflectance Absorbance
Goodacre, R. Timmins, É.M., Rooney, P.J., Rowland, J.J. &
Kell, D.B. (1996) Rapid identification of Streptococcus and Enterococcus
species using diffuse reflectance-absorbance Fourier transform
infrared spectroscopy and artificial neural networks. FEMS
Microbiology Letters 140, 233-239. FULL
PAPER (23.6k)
Winson, M.K., Goodacre, R., Woodward, A.M., Timmins, É.M., Jones, A., Alsberg, B.K., Rowland, J.J. & Kell, D.B. (1997) Diffuse reflectance absorbance spectroscopy taking in chemometrics (DRASTIC). A hyperspectral FT-IR-based approach to rapid screening for metabolite overproduction. Analytica Chimica Acta 348 , 273-282. ABSTRACT (2.5k)
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