Differentiation and classification of bacteria using vancomycin functionalized silver nanorods array based surface-enhanced Raman spectroscopy and chemometric analysis

被引:65
|
作者
Wu, Xiaomeng [1 ,2 ]
Huang, Yao-Wen [1 ]
Park, Bosoon [3 ]
Tripp, Ralph A. [4 ]
Zhao, Yiping [2 ,5 ]
机构
[1] Univ Georgia, Dept Food Sci & Technol, Athens, GA 30602 USA
[2] Univ Georgia, Nanoscale Sci & Engn Ctr, Athens, GA 30602 USA
[3] USDA ARS, Russell Res Ctr, Athens, GA 30605 USA
[4] Univ Georgia, Dept Infect Dis, Athens, GA 30602 USA
[5] Univ Georgia, Dept Phys & Astron, Athens, GA 30602 USA
基金
美国国家科学基金会;
关键词
Surface enhanced Raman scattering; Bacteria detection; Silver nanorods; Vancomycin; Chemometric analysis; FOODBORNE PATHOGENIC BACTERIA; LABEL-FREE DETECTION; SERS; NANOPARTICLES; DISCRIMINATION; IDENTIFICATION; SENSITIVITY; MOLECULES;
D O I
10.1016/j.talanta.2015.02.045
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Twenty seven different bacteria isolates from 12 species were analyzed using intrinsic surface-enhanced Raman scattering (SERS) spectra with recently developed vancomycin coated silver nanorod (VAN AgNR) substrates. The VAN AgNR substrates could generate reproducible SERS spectra of the bacteria with little to no interference from the environment or bacterial by-products as compared to the pristine substrates. By taking advantage of the structural composition of the cellular wall which varies from species to species, the differentiation of bacterial species is demonstrated by using chemometric analyses on those spectra. A second chemometric analysis step within the species cluster is able to differentiate serotypes and strains. The spectral features used for serotype differentiation arises from the surface proteins, while Raman peaks from adenine dominate the differentiation of strains. In addition, due to the intrinsic structural differences in the cell walls, the SERS spectra can distinguish Gram-positive from Gram-negative bacteria with high sensitivity and specificity, as well as 100% accuracy on predicting test samples. Our results provide important insights for using SERS as a bacterial diagnostic tool and further guide the design of a SERS-based detection platform. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:96 / 103
页数:8
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