| Fast identification of ten clinically important micro-organisms using an electronic nose. | |
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MedLine Citation:
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PMID: 16441375 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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AIMS: To evaluate the electronic nose (EN) as method for the identification of ten clinically important micro-organisms. METHODS AND RESULTS: A commercial EN system with a series of ten metal oxide sensors was used to characterize the headspace of the cultured organisms. The measurement procedure was optimized to obtain reproducible results. Artificial neural networks (ANNs) and a k-nearest neighbour (k-NN) algorithm in combination with a feature selection technique were used as pattern recognition tools. Hundred percent correct identification can be achieved by EN technology, provided that sufficient attention is paid to data handling. CONCLUSIONS: Even for a set containing a number of closely related species in addition to four unrelated organisms, an EN is capable of 100% correct identification. SIGNIFICANCE AND IMPACT OF THE STUDY: The time between isolation and identification of the sample can be dramatically reduced to 17 h. |
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Authors:
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M Moens; A Smet; B Naudts; J Verhoeven; M Ieven; P Jorens; H J Geise; F Blockhuys |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Letters in applied microbiology Volume: 42 ISSN: 0266-8254 ISO Abbreviation: Lett. Appl. Microbiol. Publication Date: 2006 Feb |
Date Detail:
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Created Date: 2006-01-30 Completed Date: 2006-05-25 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8510094 Medline TA: Lett Appl Microbiol Country: England |
Other Details:
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Languages: eng Pagination: 121-6 Citation Subset: IM |
Affiliation:
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Department of Chemistry, University of Antwerp, Wilrijk, Belgium. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Bacteria
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growth & development,
isolation & purification* Bacterial Typing Techniques / methods* Electronics / methods, standards Humans Neural Networks (Computer)* Reagent Kits, Diagnostic Sensitivity and Specificity |
| Chemical | |
Reg. No./Substance:
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0/Reagent Kits, Diagnostic |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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