Surface-enhanced Raman spectroscopy (SERS) for monitoring colistin-resistant and susceptible E. coli strains.

Autor: Mushtaq A; Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan., Nawaz H; Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan. Electronic address: haqchemist@yahoo.com., Irfan Majeed M; Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan. Electronic address: irfan.majeed@uaf.edu.pk., Rashid N; Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad 38000, Pakistan. Electronic address: nosheenrasheed@yahoo.com., Tahir M; Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan., Zaman Nawaz M; Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan., Shahzad K; Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan., Dastgir G; Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan., Zaki Abdul Bari R; Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan., Ul Haq A; Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan., Saleem M; Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan., Akhtar F; Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Jazyk: angličtina
Zdroj: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy [Spectrochim Acta A Mol Biomol Spectrosc] 2022 Oct 05; Vol. 278, pp. 121315. Date of Electronic Publication: 2022 May 03.
DOI: 10.1016/j.saa.2022.121315
Abstrakt: The emergence of drug-resistant bacteria is a precarious global health concern. In this study, surface-enhanced Raman spectroscopy (SERS) is used to characterize colistin-resistant and susceptible E. coli strains based on their distinguished SERS spectral features for the development of rapid and cost-effective detection and differentiation methods. For this purpose, three colistin-resistant and three colistin susceptible E. coli strains were analyzed by comparing their SERS spectral signatures. Moreover, multivariate data analysis techniques including Principal component analysis (PCA) and Partial Least Squares-Discriminant Analysis (PLS-DA) were used to examine the SERS spectral data of colistin-resistant and susceptible strains. PCA technique was employed for differentiating colistin susceptible and resistant E.coli strains due to alteration in biochemical compositions of the bacterial cell. PLS-DA is employed on SERS spectral data sets for discrimination of these resistant and susceptible E. coli strains with 100% specificity, 100% accuracy, 99.8% sensitivity, and 86% area under receiver operating characteristics (AUROC) curve.
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Databáze: MEDLINE
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