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KMID : 0380620140460010001
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Korean Journal of Food Science and Technology
2014 Volume.46 No. 1 p.1 ~ p.6
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Analysis of Flavor Pattern of Various Coffee Beans Using Electronic Nose
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Kim Ki-Hwa
Kim Ah-Hyun
Lee Jae-Keun
Chun Myoung-Sook
Noh Bong-Soo
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Abstract
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An ‘electronic nose’ based on mass spectrometer and discriminant function analysis (DFA) was used toevaluate the grade of coffee beans. The data obtained from the electronic nose was analyzed by DFA. The discriminantfunction first score (DF1) of natural coffee beans showed a greater decrease than the different processing methods.Defective coffee beans were separated well from non-defective coffee beans by DF1, which correlated with a weakerflavor than that of the others. Flavor patterns of the defective and the non-defective coffee beans were determined ascomplementary information. The flavor patterns obtained in this study can explain, in a simplified way, the differencesbetween the defective and the non-defective coffee beans.
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KEYWORD
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coffee bean, flavor pattern, electronic nose, discriminant function analysis
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