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Pattern Analysis of Volatile Components for Domestic and Imported Cnidium officinale Using GC Based on SAW Sensor  

Oh, Se-Yeon (Department of Chemistry, Seoul Women's University)
Noh, Bong-Soo (Department of Food and Microbial Technology, Seoul Women's University)
Publication Information
Korean Journal of Food Science and Technology / v.35, no.5, 2003 , pp. 994-997 More about this Journal
Abstract
Domestic and imported Cnidium officinale were investigated using GC based on a SAW sensor. Volatile components from the herb were detected by GC with a Surface Acoustic Wave (SAW sensor without any pretreatment. This system produced a frequency proportional to the amount of column effluent deposited on the SAW sensor. It could discriminate between domestic and imported Cnidium officinales. This was achieved by using a pattern recognition and a visual pattern called a $VaporPrint^{TM}$, derived from the frequency and chromatogram of the GC-SAW sensor. The origins of Cnidium officinale was well discriminated with the direct use of $VaporPrint^{TM}$.
Keywords
GC; SAW; Cnidium officinale; volatile component;
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