Document Detail

2D bitmapping approach for identification and quantitation of common base flavor adulterants using surface acoustic wave arrays and artificial neural network data analysis.
MedLine Citation:
PMID:  18206997     Owner:  NLM     Status:  MEDLINE    
Arrays of polymer-coated surface acoustic wave microsensors are used in conjunction with a variety of signal-processing algorithms known as artificial neural networks (ANN). This format of data analysis has the capability to characterize complex mixtures of volatile and semi-volatile organic compounds commonly found in base flavors. The approach described, which minimizes the number of training sets while retaining the robustness of an ANN, utilizes a 2D bitmap matrix. The matrix is obtained by converting the time domain kinetics of sensor response into a bitmap. The high data throughput of this approach enables quantitation on the order of ppm of common base flavor adulterants.
Robert M Sobel; David S Ballantine
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2007-12-15
Journal Detail:
Title:  Analytica chimica acta     Volume:  608     ISSN:  1873-4324     ISO Abbreviation:  Anal. Chim. Acta     Publication Date:  2008 Feb 
Date Detail:
Created Date:  2008-01-21     Completed Date:  2008-04-22     Revised Date:  2009-11-19    
Medline Journal Info:
Nlm Unique ID:  0370534     Medline TA:  Anal Chim Acta     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  79-85     Citation Subset:  IM    
Department of Chemistry and Biochemistry, Northern Illinois University, DeKalb, IL 60115, United States.
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MeSH Terms
1-Butanol / chemistry
Chemistry Techniques, Analytical / methods*
Flavoring Agents / chemistry*
Models, Chemical
Neural Networks (Computer)*
Pattern Recognition, Automated
Polymers / chemistry
Regression Analysis
Surface Properties
Reg. No./Substance:
0/Flavoring Agents; 0/Polymers; 0/Solvents; 71-36-3/1-Butanol

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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