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Discrimination of bacteria using surface-enhanced Raman spectroscopy.
Anal Chem. 2004 Jan 01; 76(1):40-7.AC

Abstract

Raman spectroscopy has recently been shown to be a potentially powerful whole-organism fingerprinting technique and is attracting interest within microbial systematics for the rapid identification of bacteria and fungi. However, while the Raman effect is so weak that only approximately 1 in 10(8) incident photons are Raman scattered (so that collection times are in the order of minutes), it can be greatly enhanced (by some 10(3)-10(6)-fold) if the molecules are attached to, or microscopically close to, a suitably roughened surface, a technique known as surface-enhanced Raman scattering (SERS). In this study, SERS, employing an aggregated silver colloid substrate, was used to analyze a collection of clinical bacterial isolates associated with urinary tract infections. While each spectrum took 10 s to collect, to acquire reproducible data, 50 spectra were collected making the spectral acquisition times per bacterium approximately 8 min. The multivariate statistical techniques of discriminant function analysis (DFA) and hierarchical cluster analysis (HCA) were applied in order to group these organisms based on their spectral fingerprints. The resultant ordination plots and dendrograms showed correct groupings for these organisms, including discrimination to strain level for a sample group of Escherichia coli, which was validated by projection of test spectra into DFA and HCA space. We believe this to be the first report showing bacterial discrimination using SERS.

Authors+Show Affiliations

Department of Chemistry, UMIST, PO Box 88, Sackville Street, Manchester M60 1QD, UK.No affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

14697030

Citation

Jarvis, Roger M., and Royston Goodacre. "Discrimination of Bacteria Using Surface-enhanced Raman Spectroscopy." Analytical Chemistry, vol. 76, no. 1, 2004, pp. 40-7.
Jarvis RM, Goodacre R. Discrimination of bacteria using surface-enhanced Raman spectroscopy. Anal Chem. 2004;76(1):40-7.
Jarvis, R. M., & Goodacre, R. (2004). Discrimination of bacteria using surface-enhanced Raman spectroscopy. Analytical Chemistry, 76(1), 40-7.
Jarvis RM, Goodacre R. Discrimination of Bacteria Using Surface-enhanced Raman Spectroscopy. Anal Chem. 2004 Jan 1;76(1):40-7. PubMed PMID: 14697030.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Discrimination of bacteria using surface-enhanced Raman spectroscopy. AU - Jarvis,Roger M, AU - Goodacre,Royston, PY - 2003/12/31/pubmed PY - 2004/10/27/medline PY - 2003/12/31/entrez SP - 40 EP - 7 JF - Analytical chemistry JO - Anal Chem VL - 76 IS - 1 N2 - Raman spectroscopy has recently been shown to be a potentially powerful whole-organism fingerprinting technique and is attracting interest within microbial systematics for the rapid identification of bacteria and fungi. However, while the Raman effect is so weak that only approximately 1 in 10(8) incident photons are Raman scattered (so that collection times are in the order of minutes), it can be greatly enhanced (by some 10(3)-10(6)-fold) if the molecules are attached to, or microscopically close to, a suitably roughened surface, a technique known as surface-enhanced Raman scattering (SERS). In this study, SERS, employing an aggregated silver colloid substrate, was used to analyze a collection of clinical bacterial isolates associated with urinary tract infections. While each spectrum took 10 s to collect, to acquire reproducible data, 50 spectra were collected making the spectral acquisition times per bacterium approximately 8 min. The multivariate statistical techniques of discriminant function analysis (DFA) and hierarchical cluster analysis (HCA) were applied in order to group these organisms based on their spectral fingerprints. The resultant ordination plots and dendrograms showed correct groupings for these organisms, including discrimination to strain level for a sample group of Escherichia coli, which was validated by projection of test spectra into DFA and HCA space. We believe this to be the first report showing bacterial discrimination using SERS. SN - 0003-2700 UR - https://www.unboundmedicine.com/medline/citation/14697030/Discrimination_of_bacteria_using_surface_enhanced_Raman_spectroscopy_ L2 - https://doi.org/10.1021/ac034689c DB - PRIME DP - Unbound Medicine ER -
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