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Rapid Identification of Three Gram-Negative Bacteria by Surface-Enhanced Raman Spectroscopy.

Authors :
Yongbin LIN
Zhiwei WU
Source :
Studies in Health Technology & Informatics; 2023, Vol. 308, p253-260, 8p, 3 Charts, 5 Graphs
Publication Year :
2023

Abstract

Gram-negative bacteria had been regarded as several important sources of lethal infection. Rapid identification of pathogenic bacteria is extremely important for the diagnosis and clinical treatment of diseases. In current study, three gram-negative bacteria, including Klebsiella aerogenes, Enterobacter cloacae and Escherichia coli, were used to access the feasibility of characterizing Gramnegative bacteria by surface-enhanced Raman Spectroscopy (SERS). Bacterial samples were from Escherichia coli isolates (n=1000), Klebsiella aerogenes isolates (n=1000) and Enterobacter cloacaeand isolates (n=1000). The differences of three Gram-negative bacteria were characterized by SERS spectra. Furthermore, four multivariate statistical algorithms based on the combination of principal component analysis (or partial least squares) and linear discriminant analysis (or support vector machine) were used to discriminate the spectra of three gramnegative bacteria. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09269630
Volume :
308
Database :
Complementary Index
Journal :
Studies in Health Technology & Informatics
Publication Type :
Academic Journal
Accession number :
173845060
Full Text :
https://doi.org/10.3233/SHTI230847