Discrimination between Carbapenem-Resistant and Carbapenem-Sensitive Klebsiella pneumoniae Strains through Computational Analysis of Surface-Enhanced Raman Spectra: a Pilot Study-Reference-Cited by-同舟云学术

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

Published:2022-02-23 Issue:1 Volume:10 Page:
ISSN:2165-0497
Container-title:Microbiology Spectrum
language:en
Short-container-title:Microbiol Spectr

Author:

Liu Wei¹,Tang Jia-Wei¹,Lyu Jing-Wen²,Wang Jun-Jiao¹,Pan Ya-Cheng³,Shi Xin-Yi³,Liu Qing-Hua⁴,Zhang Xiao¹,Gu Bing³⁵,Wang Liang¹^ORCID

Affiliation:

1. Department of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu, China

2. Medical Technology School of Xuzhou Medical University, Xuzhou, Jiangsu, China

3. School of Life Sciences, Xuzhou Medical University, Xuzhou, Jiangsu, China

4. State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, China

5. Laboratory Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

Abstract

With the low-cost, label-free, and nondestructive features, Raman spectroscopy is becoming an attractive technique with great potential to discriminate bacterial infections. In this pilot study, we analyzed surfaced-enhanced Raman spectroscopy (SERS) spectra via supervised machine learning algorithms, through which we confirmed the application potentials of the SERS technique in rapid and accurate discrimination of Klebsiella pneumoniae strains with different antibiotic resistance profiles.

Funder

National Natural Science Foundation of China

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Cell Biology,Microbiology (medical),Genetics,General Immunology and Microbiology,Ecology,Physiology

Link

https://journals.asm.org/doi/pdf/10.1128/spectrum.02409-21

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