Literature DB >> 28437685

Rapid label-free identification of Klebsiella pneumoniae antibiotic resistant strains by the drop-coating deposition surface-enhanced Raman scattering method.

Youjin Cheong1, Young Jin Kim1, Heeyoon Kang1, Samjin Choi2, Hee Joo Lee3.   

Abstract

Although many methodologies have been developed to identify unknown bacteria, bacterial identification in clinical microbiology remains a complex and time-consuming procedure. To address this problem, we developed a label-free method for rapidly identifying clinically relevant multilocus sequencing typing-verified quinolone-resistant Klebsiella pneumoniae strains. We also applied the method to identify three strains from colony samples, ATCC70063 (control), ST11 and ST15; these are the prevalent quinolone-resistant K. pneumoniae strains in East Asia. The colonies were identified using a drop-coating deposition surface-enhanced Raman scattering (DCD-SERS) procedure coupled with a multivariate statistical method. Our workflow exhibited an enhancement factor of 11.3×106 to Raman intensities, high reproducibility (relative standard deviation of 7.4%), and a sensitive limit of detection (100 pM rhodamine 6G), with a correlation coefficient of 0.98. All quinolone-resistant K. pneumoniae strains showed similar spectral Raman shifts (high correlations) regardless of bacterial type, as well as different Raman vibrational modes compared to Escherichia coli strains. Our proposed DCD-SERS procedure coupled with the multivariate statistics-based identification method achieved excellent performance in discriminating similar microbes from one another and also in subtyping of K. pneumoniae strains. Therefore, our label-free DCD-SERS procedure coupled with the computational decision supporting method is a potentially useful method for the rapid identification of clinically relevant K. pneumoniae strains.
Copyright © 2017 Elsevier B.V. All rights reserved.

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Keywords:  DCD-SERS; Klebsiella pneumoniae; Loading profile; PCA; Raman spectroscopy

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Year:  2017        PMID: 28437685     DOI: 10.1016/j.saa.2017.04.044

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  3 in total

Review 1.  Detection and Characterization of Antibiotic-Resistant Bacteria Using Surface-Enhanced Raman Spectroscopy.

Authors:  Kaidi Wang; Shenmiao Li; Marlen Petersen; Shuo Wang; Xiaonan Lu
Journal:  Nanomaterials (Basel)       Date:  2018-09-26       Impact factor: 5.076

Review 2.  Nanoparticles for Signaling in Biodiagnosis and Treatment of Infectious Diseases.

Authors:  Clara I Colino; Carmen Gutiérrez Millán; José M Lanao
Journal:  Int J Mol Sci       Date:  2018-05-31       Impact factor: 5.923

3.  Discrimination between Carbapenem-Resistant and Carbapenem-Sensitive Klebsiella pneumoniae Strains through Computational Analysis of Surface-Enhanced Raman Spectra: a Pilot Study.

Authors:  Wei Liu; Jia-Wei Tang; Jing-Wen Lyu; Jun-Jiao Wang; Ya-Cheng Pan; Xin-Yi Shi; Qing-Hua Liu; Xiao Zhang; Bing Gu; Liang Wang
Journal:  Microbiol Spectr       Date:  2022-02-02
  3 in total

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