2010
DOI: 10.1002/jbio.201000026
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Towards Raman‐based epidemiological typing of Pseudomonas aeruginosa

Abstract: Raman spectra of bacteria can be used as highly specific fingerprints, enabling discrimination at strain level. Pseudomonas aeruginosa strains can be strongly pigmented, making it difficult to obtain high quality spectra of such isolates due to high fluorescent spectral backgrounds. Furthermore, the spectra that could be measured with acceptable quality often showed large spectral variations limiting the reproducibility required for strain level discrimination. P. aeruginosa produces a characteristic yellowish… Show more

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Cited by 19 publications
(16 citation statements)
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“…Despite high accuracy (95%) in sample differentiation, low sensitivity and significant interference from background florescence were observed. Spectral interference from sample matrix was also reported in other studies on Raman spectroscopic identification of P. aeruginosa 6, 7 . These studies all adopted the strategy to detect whole bacterial cells.…”
Section: Introductionsupporting
confidence: 64%
“…Despite high accuracy (95%) in sample differentiation, low sensitivity and significant interference from background florescence were observed. Spectral interference from sample matrix was also reported in other studies on Raman spectroscopic identification of P. aeruginosa 6, 7 . These studies all adopted the strategy to detect whole bacterial cells.…”
Section: Introductionsupporting
confidence: 64%
“…The pigment was detectable in very low amounts and was used to dynamically monitor P. aeruginosa pigment excretion during its growth . Strain‐level discrimination of P. aeruginosa was implemented by applying a washing procedure to reduce the amount of the fluorescing pigment . Also, without the presence of pigments, a sensitive and specific discrimination of pathogenic and non‐pathogenic E. coli strains was accomplished on the basis of spectral differences, and two statistical analysis methods were compared.…”
Section: Raman Spectroscopy For Medical Applicationsmentioning
confidence: 99%
“…Thus, Raman spectroscopy could find applications for screening variability within a collection of isolates. Clinical and epidemiological studies could benefit from a fast, high‐throughput analysis of multiple colonies per patient …”
Section: Raman Spectroscopy For Medical Applicationsmentioning
confidence: 99%
“…In recent years, Raman spectroscopic analysis (RA) has been validated for the bacterial typing of different species (12,25,26). RA is a label-free, optical technology based on the inelastic scattering of light by molecules.…”
mentioning
confidence: 99%