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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| Veröffentlicht in: | Analytical chemistry (Washington) 2007-04, Vol.79 (7), p.2658-2673 |
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| container_title | Analytical chemistry (Washington) |
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| creator | 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 |
| description | 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. |
| doi_str_mv | 10.1021/ac0700575 |
| format | Article |
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Steven ; Treado, Patrick J</creator><creatorcontrib>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</creatorcontrib><description>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.</description><identifier>ISSN: 0003-2700</identifier><identifier>EISSN: 1520-6882</identifier><identifier>DOI: 10.1021/ac0700575</identifier><identifier>PMID: 17338507</identifier><identifier>CODEN: ANCHAM</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>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</subject><ispartof>Analytical chemistry (Washington), 2007-04, Vol.79 (7), p.2658-2673</ispartof><rights>Copyright © 2007 American Chemical Society</rights><rights>2007 INIST-CNRS</rights><rights>Copyright American Chemical Society Apr 1, 2007</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a439t-ea47721f546842569f3ed0f61c2997373a934438e652d7dfd67f7fab4e813b673</citedby><cites>FETCH-LOGICAL-a439t-ea47721f546842569f3ed0f61c2997373a934438e652d7dfd67f7fab4e813b673</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/ac0700575$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/ac0700575$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2752,27053,27901,27902,56713,56763</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18673033$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17338507$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kalasinsky, Kathryn S</creatorcontrib><creatorcontrib>Hadfield, Ted</creatorcontrib><creatorcontrib>Shea, April A</creatorcontrib><creatorcontrib>Kalasinsky, Victor F</creatorcontrib><creatorcontrib>Nelson, Matthew P</creatorcontrib><creatorcontrib>Neiss, Jason</creatorcontrib><creatorcontrib>Drauch, Amy J</creatorcontrib><creatorcontrib>Vanni, G. Steven</creatorcontrib><creatorcontrib>Treado, Patrick J</creatorcontrib><title>Raman Chemical Imaging Spectroscopy Reagentless Detection and Identification of Pathogens: Signature Development and Evaluation</title><title>Analytical chemistry (Washington)</title><addtitle>Anal. Chem</addtitle><description>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.</description><subject>Algorithms</subject><subject>Analytical chemistry</subject><subject>Applied sciences</subject><subject>Bacillus anthracis</subject><subject>Bacillus anthracis - chemistry</subject><subject>Bacillus anthracis - classification</subject><subject>Brucella abortus</subject><subject>Brucella abortus - chemistry</subject><subject>Brucella abortus - classification</subject><subject>Burkholderia mallei</subject><subject>Burkholderia mallei - chemistry</subject><subject>Burkholderia mallei - classification</subject><subject>Chemistry</subject><subject>Exact sciences and technology</subject><subject>Francisella tularensis</subject><subject>Francisella tularensis - chemistry</subject><subject>Francisella tularensis - classification</subject><subject>Global environmental pollution</subject><subject>Image Processing, Computer-Assisted - instrumentation</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Methods</subject><subject>Microbiology</subject><subject>Microscopy, Fluorescence - instrumentation</subject><subject>Microscopy, Fluorescence - methods</subject><subject>Particle Size</subject><subject>Pathogens</subject><subject>Pollution</subject><subject>Ricin - chemistry</subject><subject>Sensitivity and Specificity</subject><subject>Spectrometric and optical methods</subject><subject>Spectrum analysis</subject><subject>Spectrum Analysis, Raman - instrumentation</subject><subject>Spectrum Analysis, Raman - methods</subject><subject>Yersinia pestis</subject><subject>Yersinia pestis - chemistry</subject><subject>Yersinia pestis - classification</subject><issn>0003-2700</issn><issn>1520-6882</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpl0UtvEzEQB3ALUdFQOPAF0AoJJA4Lfqwf2xtKGxpURJWUszXZHadb9oW9W9Eb4sbX5JPUTaIGwcmS5zejsf-EvGD0HaOcvYeCakqllo_IhElOU2UMf0wmlFKR8lg6JE9DuKaUMcrUE3LItBBGUj0hvxbQQJtMr7CpCqiTeQPrql0nyx6LwXeh6PrbZIGwxnaoMYTkBIdYqbo2gbZM5mW8r1xs3Vx1LrmA4aqLOhz_-fk7WVbrFobRY-y7wbrrm-g3nac3UI-brmfkwEEd8PnuPCJfZ6eX07P0_MvH-fTDeQqZyIcUIdOaMyczZTIuVe4EltQpVvA810ILyEWWCYNK8lKXrlTaaQerDA0TK6XFEXmzndv77vuIYbBNFQqsa2ixG4Pl1FCVCRXhq3_gdTf6Nu5mOdPG5JKziN5uURF_KXh0tvdVA_7WMmrvU7EPqUT7cjdwXDVY7uUuhghe7wCEmILz0BZV2DsT16dCRJduXRUG_PFQB__NRqGlvbxY2tnnT3wxO1nYv-ZCEfaP-H_BO1vmsBY</recordid><startdate>20070401</startdate><enddate>20070401</enddate><creator>Kalasinsky, Kathryn S</creator><creator>Hadfield, Ted</creator><creator>Shea, April A</creator><creator>Kalasinsky, Victor F</creator><creator>Nelson, Matthew P</creator><creator>Neiss, Jason</creator><creator>Drauch, Amy J</creator><creator>Vanni, G. 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Steven</au><au>Treado, Patrick J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Raman Chemical Imaging Spectroscopy Reagentless Detection and Identification of Pathogens: Signature Development and Evaluation</atitle><jtitle>Analytical chemistry (Washington)</jtitle><addtitle>Anal. Chem</addtitle><date>2007-04-01</date><risdate>2007</risdate><volume>79</volume><issue>7</issue><spage>2658</spage><epage>2673</epage><pages>2658-2673</pages><issn>0003-2700</issn><eissn>1520-6882</eissn><coden>ANCHAM</coden><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.</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><pmid>17338507</pmid><doi>10.1021/ac0700575</doi><tpages>16</tpages></addata></record> |
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| ispartof | Analytical chemistry (Washington), 2007-04, Vol.79 (7), p.2658-2673 |
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| language | eng |
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| source | MEDLINE; American Chemical Society (ACS) Journals |
| 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 |
| title | Raman Chemical Imaging Spectroscopy Reagentless Detection and Identification of Pathogens: Signature Development and Evaluation |
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