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Pattern Analysis of Volatile Components for Domestic and Imported Angelica gigas Nakai Using GC Based on SAW Sensor  

Noh, Bong-Soo (Department of Food and Microbial Technology, Seoul Women's University)
Oh, Se-Yeon (KOSMO Scientific Co.)
Kim, Su-Jeong (National Agricultural Products Quality Management Service)
Publication Information
Korean Journal of Food Science and Technology / v.35, no.1, 2003 , pp. 144-148 More about this Journal
Abstract
Volatile components were detected from domestic and imported Angelica gigas Nakai without any pretreatment using GC based on Surface Acoustic Wave (SAW) sensor. This system produced a frequency proportional to the amount of column effluent deposited on the SAW sensor. Discrimination between domestic and imported Angelica gigas Nakai was achieved through recognition of visual pattern using $VaporPrint^{TM}$ derived from frequency and chromatogram of GC-SAW sensor.
Keywords
GC; SAW; Angelica gigas Nakai; volatile component;
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