The Study of Identification for Blended Sesame Oil by Metal Oxide type Electronic Nose

  • Shin, Jung-Ah (Department of Food Science and Technology, Chungnam National University) ;
  • Lee, Ki-Teak (Department of Food Science and Technology, Chungnam National University)
  • Published : 2003.04.01

Abstract

This study was performed to develop the precise and rapid method to distinguish the blended sesame oil through the electronic nose analysis. The sesame oil was blended with corn oil at the ratio of 95:5, 90:10, 80:20(w/w), respectively. Samples were then analyzed by gas chromatography, SPME-GC/MS and the electronic nose composed of 12 metal oxide sensors. The sensetivities(delta Rgas/Rair) of sensors by electronic nose was carried out with principal component analysis(PCA). The proportion of first principal component showed 98.76%. In this study, the electronic nose analysis could be used as a competent method to classify for genuine sesame oil.

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