Abstract |
건어물 중의 냄새나는 질소화합물을 증류동시 추출법으로 추출하여 GC-MS로 분석하였다. Amine의 equivalent chain length를 구하여 머무름시간으로부터 탄소수와 차수를 예측할 수 있었다. 새우, 멸치, 복어, 대구, 오징어, 문어, 쥐포, 병어포, 홍합, 조갯살 등 우리 나라에서 많이 식용되는 시료를 분석대상으로 하였다. Dimethylamine, trimethylamine, diethylamine 등은 건어물에서 검출되지 않았으나 methylamine, acetamide, thiazole, 2-hydroxy isopropylamine, N-methyl pyrroline, piperidine, cyclohexylamine 같은 냄새나는 질소화합물들이 GC-MS로 확인되었다. 건어물의 냄새패턴을 식별하기 위하여 GC-MS 피크면적을 자료로 주성분분석을 적용하였다. 주성분분석에 의한 다변량해석은 건어물의 냄새패턴의 유사성과 이질성의 식별에 유익하다는 결론을 얻었다. The smelly nitro compounds were extracted from dried fishes by simultanous distillation and extraction, then were analyzed by GC-MS. Carbon number and order of an amine could be predicted by using retention time and equivalent chain length. Anchovy, codfish, imitation crab meat, cuttle fish, file fish, pollack, shrimp, octopus, harvest fish, and hard-shelled mussel were used for this investigation. Various smelly nitro compounds such as methylamine, acetamide, thiazole, 2-hydroxy isopropylamine, N-methyl pyrroline, piperidine, cyclohexylamine were identified, however, dimethylamine, trimethylamine, diethylamine were not detected. Principal components analysis was applied to GC-MS profiles for pattern recognition of smelly nitro compounds in dried fishes. Multivariate aspects using principal components analysis were very useful for pattern recognition of smelly components, category similarity. |
