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Surface-enhanced Raman spectroscopy (SERS) for monitoring colistin-resistant and susceptible E. coli strains.
Mushtaq, Aqsa; Nawaz, Haq; Irfan Majeed, Muhammad; Rashid, Nosheen; Tahir, Muhammad; Zaman Nawaz, Muhammad; Shahzad, Kashif; Dastgir, Ghulam; Zaki Abdul Bari, Rana; Ul Haq, Anwar; Saleem, Mudassar; Akhtar, Farwa.
Afiliación
  • 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.
Spectrochim Acta A Mol Biomol Spectrosc ; 278: 121315, 2022 Oct 05.
Article en En | MEDLINE | ID: mdl-35576839
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Espectrometría Raman / Colistina Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Espectrometría Raman / Colistina Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Reino Unido