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KMID : 1024420090130040275
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Food Engineering Progress
2009 Volume.13 No. 4 p.275 ~ p.281
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Identification of Vegetable Oil-added Sesame Oil by a Mass Spectrometer-based Electronic Nose
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Son Hee-Jin
Hong Eun-Jeung
Ko Sang-Hoon
Choi Jin-Young
Noh Bong-Soo
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Abstract
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Sesame oils are partially mixed with other vegetable oils due to high price in a Korean market. To find out authentic sesame oil, a mass spectrometer-based electronic nose (MS-based E-nose) was used. Sesame oil (Se) was blended with soybean oil (So) or corn oil (Co) at the ratio (Se:So, Se:Co) of 97:3, 94:6, 91:9, 88:12 and 85:15, respectively. Intensities of each fragment from sesame oil by MS-based E-nose were completely different from those of soybean oil or corn oil. The obtained results were used for discriminant function analysis (DFA). Volatile organic components (VOC) of soybean oil or corn oil were similar to those of fresh air and DFA plot indicated a significant separation of pure sesame oil and pure other oil. The group of the mixed oil was seperated with that of sesame oil in DFA plot and the added amount of soybean oil to sesame oil was correlated with discriminant function first score (DF1). MS based E-nose system could be used as an efficient method to investigate the purity of sesame oil.
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KEYWORD
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sesame oil, soybean oil, corn germ oil, electronic nose, mass spectrometrer
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