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전자코를 이용한 자포니카벼 품종의 쌀과 밥 향기패턴 분류
Classification of Japonica Varieties by Volatile Component Patterns of Milled and Cooked Rice Using Electronic Nose
송진 ( Jin Song ) , 손종록 ( Jong-rok Son ) , 박남규 ( Nam-kyu Park ) , 조해영 ( Hae-young Cho ) , 장규섭 ( Kyu-seob Chang )
UCI I410-151-25-02-091958967

This study was performed to investigate the differences among the 44 varieties of Japonica rice by using the electronic nose. The volatile patterns of milled rice and its cooked rice were generated by twelve metal oxide sensors (MOS). The MSO responses were evaluated by principal component analysis and cluster analysis. Milled rice was classified into three groups; Group I included most of varieties, Group II was Daejinbyeo, Chucheongbyeo, and Group ill was Mangumbyeo, Nampyeongbyeo, Shindongjinbyeo. But the discrimination of cooked rice was not identified. Also the result of correlation analysis appeared that the volatile of milled rice was not significantly related to that of cooked rice. Electronic nose system was considered as not depend on our study results sufficient to predict the volatile pattern of cooked rice.

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[자료제공 : 네이버학술정보]
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