2022
DOI: 10.1016/j.saa.2022.121315
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Surface-enhanced Raman spectroscopy (SERS) for monitoring colistin-resistant and susceptible E. coli strains

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Cited by 15 publications
(7 citation statements)
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“…In another similar study conducted by Mushtaq et al, PCA and PLS-DA were used to analyse data obtained from SERS using silver nanoparticles as substrates towards differentiation of colistin resistant and susceptible E. coli. [81] The PCA scatter plot of the SERS spectral data sets showed that the spectra of resistant strain formed clusters on the negative side while those of the susceptible strain formed cluster on the positive side of the scatter plot. The first and second principal component described 67.67 % and 14.69 % variances, respectively.…”
Section: Chemometrics In Detection Of E Colimentioning
confidence: 98%
“…In another similar study conducted by Mushtaq et al, PCA and PLS-DA were used to analyse data obtained from SERS using silver nanoparticles as substrates towards differentiation of colistin resistant and susceptible E. coli. [81] The PCA scatter plot of the SERS spectral data sets showed that the spectra of resistant strain formed clusters on the negative side while those of the susceptible strain formed cluster on the positive side of the scatter plot. The first and second principal component described 67.67 % and 14.69 % variances, respectively.…”
Section: Chemometrics In Detection Of E Colimentioning
confidence: 98%
“…SERS has been successfully applied to analyze the different responses of antibiotic resistant and sensitive bacteria during exposure to antibiotics to assess the antibiotic susceptibility of bacteria 80 . It has been applied to differentiate the antibiotic‐resistant and susceptible E. coli strains, 81–83 S . Typhimurium, 84 B. cereus , 82,85 S. aureus , 86 and carbapenem sensitive and resistant Klebsiella strains from clinical samples 87 .…”
Section: Analysis Of Bacteria Antibiotic Resistance and Susceptibilitymentioning
confidence: 99%
“…SERS has been successfully applied to analyze the different responses of antibiotic resistant and sensitive bacteria during exposure to antibiotics to assess the antibiotic susceptibility of bacteria. 80 It has been applied to differentiate the antibiotic-resistant and susceptible E. coli strains, [81][82][83] S. Typhimurium, 84 B. cereus, 82,85 S. aureus, 86 and carbapenem sensitive and resistant Klebsiella strains from clinical samples. 87 In addition to the instant one-time treatment of antibiotics, the antibiotic susceptibility testing was conducted over a long period such as three months, or 21 days in some studies, to investigate the dynamic molecular changes in the drug-resistant strains.…”
Section: Different Bacterial Responses During Antibiotics Exposurementioning
confidence: 99%
See 1 more Smart Citation
“…Colistin resistant Klebsiella pneumoniae was discriminated using SERS-based (Surface-enhanced Raman spectroscopy) biosensor coupled with machine learning techniques [ 26 ]. A recent study reported the feasibility of discrimination between sensitive and colistin resistant E. coli strains [ 27 ]. This study involves silver nanoparticle based SERS measurements to delineate spectral signals specific for colistin resistance and explored the feasibility of classification using machine learning.…”
Section: Introductionmentioning
confidence: 99%