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

^* yeqing6330@fjmu.edu.cn

Abstract

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.