Title:Fourier Transform Infrared Spectroscopy (FTIR) as a Tool for the Identification and Differentiation of Pathogenic Bacteria
Volume: 22
Issue: 14
Author(s): Paulina Zarnowiec, Lukasz Lechowicz, Grzegorz Czerwonka and Wiesław Kaca
Affiliation:
关键词:
人工神经网络(ANN),细菌病原体检测,化学统计法,傅里叶变换红外光谱(FTIR)。
摘要: Methods of human bacterial pathogen identification need to be fast, reliable, inexpensive,
and time efficient. These requirements may be met by vibrational spectroscopic techniques. The
method that is most often used for bacterial detection and identification is Fourier transform infrared
spectroscopy (FTIR). It enables biochemical scans of whole bacterial cells or parts thereof at infrared
frequencies (4,000-600 cm-1). The recorded spectra must be subsequently transformed in order to
minimize data variability and to amplify the chemically-based spectral differences in order to facilitate
spectra interpretation and analysis. In the next step, the transformed spectra are analyzed by data reduction
tools, regression techniques, and classification methods. Chemometric analysis of FTIR spectra is a basic technique
for discriminating between bacteria at the genus, species, and clonal levels. Examples of bacterial pathogen identification
and methods of differentiation up to the clonal level, based on infrared spectroscopy, are presented below.