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

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-sens...

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Autores principales: Li, Jia, Wang, Chongwen, Kang, Haiquan, Shao, Liting, Hu, Lulu, Xiao, Rui, Wang, Shengqi, Gu, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2018
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9078027/
https://www.ncbi.nlm.nih.gov/pubmed/35539553
http://dx.doi.org/10.1039/c7ra13063e
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author Li, Jia
Wang, Chongwen
Kang, Haiquan
Shao, Liting
Hu, Lulu
Xiao, Rui
Wang, Shengqi
Gu, Bing
author_facet Li, Jia
Wang, Chongwen
Kang, Haiquan
Shao, Liting
Hu, Lulu
Xiao, Rui
Wang, Shengqi
Gu, Bing
author_sort Li, Jia
collection PubMed
description 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.
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spelling pubmed-90780272022-05-09 Label-free identification carbapenem-resistant Escherichia coli based on surface-enhanced resonance Raman scattering Li, Jia Wang, Chongwen Kang, Haiquan Shao, Liting Hu, Lulu Xiao, Rui Wang, Shengqi Gu, Bing RSC Adv Chemistry 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. The Royal Society of Chemistry 2018-01-26 /pmc/articles/PMC9078027/ /pubmed/35539553 http://dx.doi.org/10.1039/c7ra13063e Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Li, Jia
Wang, Chongwen
Kang, Haiquan
Shao, Liting
Hu, Lulu
Xiao, Rui
Wang, Shengqi
Gu, Bing
Label-free identification carbapenem-resistant Escherichia coli based on surface-enhanced resonance Raman scattering
title Label-free identification carbapenem-resistant Escherichia coli based on surface-enhanced resonance Raman scattering
title_full Label-free identification carbapenem-resistant Escherichia coli based on surface-enhanced resonance Raman scattering
title_fullStr Label-free identification carbapenem-resistant Escherichia coli based on surface-enhanced resonance Raman scattering
title_full_unstemmed Label-free identification carbapenem-resistant Escherichia coli based on surface-enhanced resonance Raman scattering
title_short Label-free identification carbapenem-resistant Escherichia coli based on surface-enhanced resonance Raman scattering
title_sort label-free identification carbapenem-resistant escherichia coli based on surface-enhanced resonance raman scattering
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9078027/
https://www.ncbi.nlm.nih.gov/pubmed/35539553
http://dx.doi.org/10.1039/c7ra13063e
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