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

Kathryn S. Kalasinsky(ChemImage (United States)), Ted L. Hadfield(ChemImage (United States)), April A. Shea(ChemImage (United States)), V. F. Kalasinsky(Armed Forces Institute of Pathology), Matthew P. Nelson(Armed Forces Institute of Pathology), Jason H. Neiss(Armed Forces Institute of Pathology), Amy Drauch(Armed Forces Institute of Pathology), G. Steven Vanni(ChemImage (United States)), Patrick J. Treado(ChemImage (United States))
Analytical Chemistry
March 6, 2007
Cited by 145

Abstract

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.


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