Sensitive and specific discrimination of pathogenic and nonpathogenic Escherichia coli using Raman spectroscopy—a comparison of two multivariate analysis techniques
| Autor: | Ryan C. Woodman, Steven J. Rehse, Sunil Palchaudhuri, Khozima Hamasha, Russell A. Putnam, Qassem I. Mohaidat |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Pathology
medicine.medical_specialty ocis:(170.1580) Chemometrics medicine.disease_cause 01 natural sciences Chemometrics 03 medical and health sciences symbols.namesake medicine Physical Sciences and Mathematics ocis:(300.6450) Spectroscopy Raman Spectroscopy Escherichia coli 030304 developmental biology ocis:(170.0170) Medical optics and biotechnology 0303 health sciences Chromatography Strain (chemistry) biology Physics 010401 analytical chemistry biology.organism_classification Atomic and Molecular Physics and Optics 0104 chemical sciences ocis:(170.1420) Biology Raman spectroscopy symbols ocis:(170.1530) Cell analysis Medical optics and biotechnology ocis:(170.5660) Raman spectroscopy Bacteria Raman scattering Spectroscopic Diagnostics Biotechnology Visible spectrum |
| Zdroj: | Biomedical Optics Express Physics Publications |
| ISSN: | 2156-7085 |
| Popis: | The determination of bacterial identity at the strain level is still a complex and time-consuming endeavor. In this study, visible wavelength spontaneous Raman spectroscopy has been used for the discrimination of four closely related Escherichia coli strains: pathogenic enterohemorrhagic E. coli O157:H7 and non-pathogenic E. coli C, E. coli Hfr K-12, and E. coli HF4714. Raman spectra from 600 to 2000 cm(-1) were analyzed with two multivariate chemometric techniques, principal component-discriminant function analysis and partial least squares-discriminant analysis, to determine optimal parameters for the discrimination of pathogenic E. coli from the non-pathogenic strains. Spectral preprocessing techniques such as smoothing with windows of various sizes and differentiation were investigated. The sensitivity and specificity of both techniques was in excess of 95%, determined by external testing of the chemometric models. This study suggests that spontaneous Raman spectroscopy with visible wavelength excitation is potentially useful for the rapid identification and classification of clinically-relevant bacteria at the strain level. |
| Databáze: | OpenAIRE |
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