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Anal Chim Acta

Title:		2D bitmapping approach for identification and quantitation of common base flavor adulterants using surface acoustic wave arrays and artificial neural network data analysis
Author(s):		Sobel RM; Ballantine DS;
Address:		"Department of Chemistry and Biochemistry, Northern Illinois University, DeKalb, IL 60115, United States"
Journal Title:		Anal Chim Acta
Year:		2008
Volume:		20071215
Issue:		1
Page Number:		79 - 85
DOI:		10.1016/j.aca.2007.12.007
ISSN/ISBN:		1873-4324 (Electronic) 0003-2670 (Linking)
Abstract:		"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"
Keywords:		"1-Butanol/chemistry *Acoustics Algorithms Chemistry Techniques, Analytical/*methods Flavoring Agents/*chemistry Kinetics Models, Chemical *Neural Networks, Computer Pattern Recognition, Automated Polymers/chemistry Regression Analysis Solvents Surface Pro;"
Notes:		"MedlineSobel, Robert M Ballantine, David S eng Research Support, Non-U.S. Gov't Netherlands 2008/01/22 Anal Chim Acta. 2008 Feb 4; 608(1):79-85. doi: 10.1016/j.aca.2007.12.007. Epub 2007 Dec 15"