Raman Chemical Imaging Spectroscopy Reagentless Detection and Identification of Pathogens:  Signature Development and Evaluation

An optical detection method, Raman chemical imaging spectroscopy (RCIS), is reported, which combines Raman spectroscopy, fluorescence spectroscopy, and digital imaging. Using this method, trace levels of biothreat organisms are detected in the presence of complex environmental backgrounds without th...

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Bibliographic Details
Published in:Analytical chemistry (Washington) 2007-04, Vol.79 (7), p.2658-2673
Main Authors: Kalasinsky, Kathryn S, Hadfield, Ted, Shea, April A, Kalasinsky, Victor F, Nelson, Matthew P, Neiss, Jason, Drauch, Amy J, Vanni, G. Steven, Treado, Patrick J
Format: Article
Language:English
Subjects:
Algorithms
Analytical chemistry
Applied sciences
Bacillus anthracis
Bacillus anthracis - chemistry
Bacillus anthracis - classification
Brucella abortus
Brucella abortus - chemistry
Brucella abortus - classification
Burkholderia mallei
Burkholderia mallei - chemistry
Burkholderia mallei - classification
Chemistry
Exact sciences and technology
Francisella tularensis
Francisella tularensis - chemistry
Francisella tularensis - classification
Global environmental pollution
Image Processing, Computer-Assisted - instrumentation
Image Processing, Computer-Assisted - methods
Methods
Microbiology
Microscopy, Fluorescence - instrumentation
Microscopy, Fluorescence - methods
Particle Size
Pathogens
Pollution
Ricin - chemistry
Sensitivity and Specificity
Spectrometric and optical methods
Spectrum analysis
Spectrum Analysis, Raman - instrumentation
Spectrum Analysis, Raman - methods
Yersinia pestis
Yersinia pestis - chemistry
Yersinia pestis - classification
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Summary:An optical detection method, Raman chemical imaging spectroscopy (RCIS), is reported, which combines Raman spectroscopy, fluorescence spectroscopy, and digital imaging. Using this method, trace levels of biothreat organisms are detected in the presence of complex environmental backgrounds without the use of amplification or enhancement techniques. RCIS is reliant upon the use of Raman signatures and automated recognition algorithms to perform species-level identification. The rationale and steps for constructing a pathogen Raman signature library are described, as well as the first reported Raman spectra from live, priority pathogens, including Bacillus anthracis, Yersinia pestis, Burkholderia mallei, Francisella tularensis, Brucella abortus, and ricin. Results from a government-managed blind trial evaluation of the signature library demonstrated excellent specificity under controlled laboratory conditions.
ISSN:0003-2700
1520-6882
DOI:10.1021/ac0700575