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Discrimination of Sesame Oils from Imported Seeds and Their Blended Ones Using Electronic-Nose System  

Shin, Jung-Ah (Department of Food Science and Technology, Chungnam National University)
Lee, Ki-Teak (Department of Food Science and Technology, Chungnam National University)
Publication Information
Korean Journal of Food Science and Technology / v.37, no.5, 2005 , pp. 856-860 More about this Journal
Abstract
Electronic-nose system was used to discriminate commercial sesame oils (A-F) extracted from imported seeds. Response (delta $R_{gas}/R_{air}$) of sensors gained from electronic nose was analyzed by principal component analysis (PCA). Flavor pattern of sesame oil A was similar to those of sesame oils B, C, and D. Sesame oils blended with corn oil at the ratio of 95:5, 90:10 and 80:20% (sesame oil/corn oil, w/w) could be discriminated from ouch genuine sesame oil.
Keywords
commercial sesame oil; electronic nose; flavor discrimination; principal component analysis;
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