BIO Web Conf.
Volume 59, 20232023 5th International Conference on Biotechnology and Biomedicine (ICBB 2023)
|Number of page(s)||4|
|Section||Biotechnology and Cell Structure Analysis|
|Published online||08 May 2023|
Rapid identification of Klebsiella pneumoniae and Serratia marcescens by surface-enhanced Raman spectroscopy
1 Institute of Physics and Information Engineering, Quanzhou Normal University, Quanzhou, 362000, China
2 Department of Otolaryngology, Shengli Clinical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, China
3 MOE Key Laboratory of Optoelectronic Science and Technology for Medicine and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China
Two types of pathogenic bacteria, Klebsiella pneumoniae and Serratia marcescens, had been reported as important causes of hospital-acquired infection. Rapid and accurate identification of Klebsiella pneumoniae and Serratia marcescens is vitally important for the selection of appropriate treatment modalities. In this article, the feasibility of using surface-enhanced Raman Spectroscopy (SERS) to identify Klebsiella pneumoniae and Serratia marcescens was explored. Spectrum samples were obtained from Klebsiella pneumoniae infections (n=1000) and Serratia marcescens infections (n=1000). The differences between the spectra of two types of pathogenic bacteria were also analyzed. Moreover, Principal Component Analysis- Linear Discriminant Analysis (PCA-LDA) algorithm was used to discriminate the spectra of pathogenic bacteria.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.