| Title: | 2D bitmapping approach for identification and quantitation of common base flavor adulterants using surface acoustic wave arrays and artificial neural network data analysis |
| Address: | "Department of Chemistry and Biochemistry, Northern Illinois University, DeKalb, IL 60115, United States" |
| 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" |
