Label-free identification carbapenem-resistant Escherichia coli based on surface-enhanced resonance Raman scattering†

Shengqi Wang; Bing Gu; Jia Li; Chongwen Wang; Haiquan Kang; Liting Shao; Lulu Hu; Rui Xiao

doi:10.1039/c7ra13063e

Label-free identification carbapenem-resistant Escherichia coli based on surface-enhanced resonance Raman scattering†

Shengqi Wang, Bing Gu, Jia Li, Chongwen Wang, Haiquan Kang, Liting Shao, Lulu Hu, Rui Xiao

Research output: Contribution to journal › Article › peer-review

33 Citations (Scopus)

Abstract

In this study, a surface-enhanced resonance Raman scattering (SERRS) method has been developed for the accurate detection and identification of carbapenem-resistant and carbapenem-sensitive Escherichia coli. A total of 89 human isolates of Enterobacteriaceae, comprising 41 strains of carbapenem-sensitive E. coli (CSEC) and 48 strains of carbapenem-resistant E. coli (CREC), were tested to assess the feasibility of our proposed SERRS method as a clinical tool, and the results showed almost 100% accuracy.

Original language	English
Pages (from-to)	4761-4765
Number of pages	5
Journal	RSC Advances
Volume	8
Issue number	9
DOIs	https://doi.org/10.1039/c7ra13063e
Publication status	Published - 2018
Externally published	Yes

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title = "Label-free identification carbapenem-resistant Escherichia coli based on surface-enhanced resonance Raman scattering†",

abstract = "In this study, a surface-enhanced resonance Raman scattering (SERRS) method has been developed for the accurate detection and identification of carbapenem-resistant and carbapenem-sensitive Escherichia coli. A total of 89 human isolates of Enterobacteriaceae, comprising 41 strains of carbapenem-sensitive E. coli (CSEC) and 48 strains of carbapenem-resistant E. coli (CREC), were tested to assess the feasibility of our proposed SERRS method as a clinical tool, and the results showed almost 100% accuracy.",

author = "Shengqi Wang and Bing Gu and Jia Li and Chongwen Wang and Haiquan Kang and Liting Shao and Lulu Hu and Rui Xiao",

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language = "English",

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T1 - Label-free identification carbapenem-resistant Escherichia coli based on surface-enhanced resonance Raman scattering†

AU - Wang, Shengqi

AU - Gu, Bing

AU - Li, Jia

AU - Wang, Chongwen

AU - Kang, Haiquan

AU - Shao, Liting

AU - Hu, Lulu

AU - Xiao, Rui

PY - 2018

Y1 - 2018

N2 - In this study, a surface-enhanced resonance Raman scattering (SERRS) method has been developed for the accurate detection and identification of carbapenem-resistant and carbapenem-sensitive Escherichia coli. A total of 89 human isolates of Enterobacteriaceae, comprising 41 strains of carbapenem-sensitive E. coli (CSEC) and 48 strains of carbapenem-resistant E. coli (CREC), were tested to assess the feasibility of our proposed SERRS method as a clinical tool, and the results showed almost 100% accuracy.

AB - In this study, a surface-enhanced resonance Raman scattering (SERRS) method has been developed for the accurate detection and identification of carbapenem-resistant and carbapenem-sensitive Escherichia coli. A total of 89 human isolates of Enterobacteriaceae, comprising 41 strains of carbapenem-sensitive E. coli (CSEC) and 48 strains of carbapenem-resistant E. coli (CREC), were tested to assess the feasibility of our proposed SERRS method as a clinical tool, and the results showed almost 100% accuracy.

UR - http://www.scopus.com/inward/record.url?scp=85041303334&partnerID=8YFLogxK

U2 - 10.1039/c7ra13063e

DO - 10.1039/c7ra13063e

M3 - Article

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VL - 8

SP - 4761

EP - 4765

JO - RSC Advances

JF - RSC Advances

IS - 9

ER -

Label-free identification carbapenem-resistant Escherichia coli based on surface-enhanced resonance Raman scattering†

Abstract

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