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

SAW센서를 바탕으로한 GC를 이용한 국내산 및 수입산 당귀의 향기 패턴분석

  • 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)
  • Published : 2003.02.01

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.

약초 당귀의 원산지를 판별하기 위하여 SAW 센서가 내장된 GC로 구축된 시스템을 이용하여 휘발성 성분을 분석하였다. 사용된 시료는 별도의 전처리 과정 없이 분석되어, 30초 이내에 얻어진 hertz 값(Frequency)과 이를 미분하여 표현한 크로마토그램을 $VaporPrint^{TM}$ 이미지 소프트웨어를 사용하여 패턴화하였으며 패턴인식을 통하여 비교한 결과, 수입산 당귀와 국내산 당귀의 패턴이 뚜렷하게 차이를 나타냄으로 원산지 판별을 할 수 있었다.

Keywords

References

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