2D bitmapping approach for identification and quantitation of common base flavor adulterants using surface acoustic wave arrays and artificial neural network data analysis

Analytica Chimica Acta
Robert M Sobel, David S Ballantine

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.

References

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Aug 31, 2006·Rapid Communications in Mass Spectrometry : RCM·Z L CardealP J Marriott
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Mar 21, 2007·Journal of Agricultural and Food Chemistry·Arporn JarunrattanasriKeith R Cadwallader

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Citations

Sep 24, 2008·Biosensors & Bioelectronics·Marek PiliarikJirí Homola
Apr 22, 2015·Journal of Food Science and Technology·Mahmoud SoltaniReza Alimardani

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