Characterization of microorganisms using UV resonance Raman spectroscopy and chemometrics

被引:113
作者
López-Díez, EC [1 ]
Goodacre, R [1 ]
机构
[1] Univ Manchester, Dept Chem, Manchester M60 1QD, Lancs, England
关键词
D O I
10.1021/ac035110d
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The past decade has seen an increased interest in the application of several physicochemical analytical techniques for the rapid detection and identification of microorganisms. We report the development of UV resonance Raman (UVRR) spectroscopy for the reproducible acquisition of information rich Raman fingerprints from endospore-forming bacteria belonging to the genera Bacillus and Brevibacillus. UVRR was conducted at 244 nm, and spectra were collected in typically 60 s. Cluster analyses of these spectra showed that UVRR spectroscopy could be used to discriminate between these microorganisms to species level, and the clustering pattern from this phenotypic classification was highly congruent with phylogenetic trees constructed from 16S rDNA sequence analysis. Therefore, we conclude that UVRR spectroscopy when coupled with chemometrics constitutes a powerful approach to the characterization and speciation of microorganisms.
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收藏
页码:585 / 591
页数:7
相关论文
共 33 条
[1]  
[Anonymous], 1994, BIOL WARFARE 21 CENT
[2]  
[Anonymous], 1966, Multivariate Analysis
[3]   UV RESONANCE RAMAN-SPECTROSCOPY FOR ANALYTICAL, PHYSICAL, AND BIOPHYSICAL CHEMISTRY .2. [J].
ASHER, SA .
ANALYTICAL CHEMISTRY, 1993, 65 (04) :A201-A210
[4]   UV RESONANCE RAMAN EXCITATION PROFILES OF THE AROMATIC-AMINO-ACIDS [J].
ASHER, SA ;
LUDWIG, M ;
JOHNSON, CR .
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 1986, 108 (12) :3186-3197
[5]  
Asher Sanford A., 1993, Analytical Chemistry, V65, P59
[6]  
Carey P., 1982, BIOCH APPL RAMAN RES
[7]  
CAUSTON DR, 1987, BIOL ADV MATH
[8]   The rapid identification of intact microorganisms using mass spectrometry [J].
Claydon, MA ;
Davey, SN ;
EdwardsJones, V ;
Gordon, DB .
NATURE BIOTECHNOLOGY, 1996, 14 (11) :1584-1586
[9]   AN ULTRAVIOLET (242 NM EXCITATION) RESONANCE RAMAN-STUDY OF LIVE BACTERIA AND BACTERIAL COMPONENTS [J].
DALTERIO, RA ;
NELSON, WH ;
BRITT, D ;
SPERRY, JF .
APPLIED SPECTROSCOPY, 1987, 41 (03) :417-422
[10]   Diagnosis of human coronary conditions by a neural network, with evolutionary wavelength selection in their quantised Raman spectra [J].
De Oliveira, PPB ;
Vogler, O ;
Matta, CE .
INVERSE PROBLEMS IN ENGINEERING, 2003, 11 (04) :309-328