Rapid label-free identification of Klebsiella pneumoniae antibiotic resistant strains by the drop-coating deposition surface-enhanced Raman scattering method

被引:41
作者
Cheong, Youjin [1 ]
Kim, Young Jin [1 ]
Kang, Heeyoon [1 ]
Choi, Samjin [2 ]
Lee, Hee Joo [1 ]
机构
[1] Kyung Hee Univ, Sch Med, Dept Lab Med, Seoul, South Korea
[2] Kyung Hee Univ, Dept Biomed Engn, Coll Med, 26 Kyungheedae Ro, Seoul 02447, South Korea
基金
新加坡国家研究基金会;
关键词
Klebsiella pneumoniae; Raman spectroscopy; DCD-SERS; PCA; Loading profile; IONIC LAYER ABSORPTION; ESCHERICHIA-COLI; QUINOLONE RESISTANCE; CERVICAL FLUIDS; SINGLE-MOLECULE; PAPER PLATFORM; INFECTIONS; FLUOROQUINOLONE; SPECTROSCOPY; BIOASSAYS;
D O I
10.1016/j.saa.2017.04.044
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
Although many methodologies have been developed to identify unknown bacteria, bacterial identification in clinical microbiology remains a complex and time-consuming procedure. To address this problem, we developed a label-free method for rapidly identifying clinically relevant multilocus sequencing typing-verified quinolone-resistant Klebsiella pneumoniae strains. We also applied the method to identify three strains from colony samples, ATCC70063 (control), ST11 and ST15; these are the prevalent quinolone-resistant K. pneumoniae strains in East Asia. The colonies were identified using a drop-coating deposition surface-enhanced Raman scattering (DCD-SERS) procedure coupled with a multivariate statistical method. Our workflow exhibited an enhancement factor of 11.3 x 10(6) to Raman intensities, high reproducibility (relative standard deviation of 7.4%), and a sensitive limit of detection (100 pM rhodamine 6G), with a correlation coefficient of 0.98. All quinolone-resistant K. pneumoniae strains showed similar spectral Raman shifts (high correlations) regardless of bacterial type, as well as different Raman vibrational modes compared to Escherichia coli strains. Our proposed DCD-SERS procedure coupled with the multivariate statistics-based identification method achieved excellent performance in discriminating similar microbes from one another and also in subtyping of K pneumoniae strains. Therefore, our label-free DCD-SERS procedure coupled with the computational decision supporting method is a potentially useful method for the rapid identification of clinically relevant K. pneumoniae strains. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:53 / 59
页数:7
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