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

SAW센서를 바탕으로한 GC를 이용한 국내산 및 수입산 천궁의 향기 패턴분석

  • Oh, Se-Yeon (Department of Chemistry, Seoul Women's University) ;
  • Noh, Bong-Soo (Department of Food and Microbial Technology, Seoul Women's University)
  • 오세연 (서울여자대학교 화학과) ;
  • 노봉수 (서울여자대학교 식품.미생물공학과)
  • Published : 2003.10.01

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 $VaporPrint^{TM}$.

약초 천궁의 원산지를 판별하기 위하여 SAW 친서가 내장된 GC로 구축된 시스템을 이용하여 휘발성 성분을 분석하였다. 사용된 시료는 별도의 전처리 과정 없이 분석되어, 30초 이내에 얻어진 크로마토그램을 $VaporPrint^{TM}$ 이미지 소프트웨어를 사용하여 패턴화하였으며 패턴인식을 통하여 비교한 결과, 수입산 천궁과 국내산 천궁의 패턴이 뚜렷하게 차이를 나타냄으로 원산지 판별을 할 수 있었다.

Keywords

References

  1. Noh, B.S. and Ko, J.W. Discrimination of the habitat for agricultural products by using clectronic nose. Food Eng. Progress 1: 103-106 (1997)
  2. Cho, Y.S., Han, K.Y., Kim, S.J. and Noh, B.S. Application of electronic nose in discrimination of the habitat for black rice. Korean J. Food Sci. Technol. 34: 136-139 (2002)
  3. Noh, B.S., Ko, J.W., Kim S.Y. and Kim, S.J. Application of electronic nose in discrimination of the habitat for special agricultural products. Korean J. Food Sci. Technol. 30: 1051-1057 (1998)
  4. Noh, B.S., Ko, J.W. and Kim S.Y. Use of conducting polymer sensor and metal oxide sensor of electronic nose on discrimination of the habitat for Ginseng. J. Nat. Sci. Inst. (Seoul Women's Univ.) 9: 81-84 (1997)
  5. Yang, Y.M., Han, K.Y. and Noh, B.S. Analysis of lipid oxidation of soybean oil using the portable electronic nose. Food Sci. Biotechnol. 9: 146-150 (2000)
  6. Kim, J.H. and Noh, B.S. Detection of irradiation treatment for red peppers by an electronic nose using conducting polymer sensors. Food Sci. Biotechnol. 8: 207-209 (1999)
  7. Staples, E.J. Electronic nose simulation of olfactory response containing 500 orthogonal sensors in 10 seconds. Proceedings of the 1999 IEEE Ultrasonic frequency control and ferroelectrics Symposium. Oct. 18-21, Lake Tahoe, USA (1999)
  8. Staples, E.J. Real time characterization of food and beverages using an electronic nose with 500 orthogonal sensors and Vapor $Print^T^M$ imaging. Sensors Expo Convention. May, Lake Tahoe, USA (2000)
  9. Noh, B.S., Oh, S.Y. and Kim, S.J. Pattern analysis of volatile components for domestic and imported Angelica gigas Nakai using GC based on SAW sensor. Korean J. Food Sci. Technol. 35: 144-148 (2003)
  10. Noh, B.S. and Oh, S.Y. Application of electronic nose based on GC with SAW sensor. Food Sci. Ind. 35: 50-57 (2002)
  11. http://www.estcal.com/technicalpapers.html/Detecting 2,4,6 TCA in corks and wine using the $zNose^T^M$.