首页 | 本学科首页   官方微博 | 高级检索  
     

基于R-型聚类分析的金华火腿主导风味的识别
引用本文:刘成林,郇延军,孙敬,钱灵燕.基于R-型聚类分析的金华火腿主导风味的识别[J].肉类研究,2008(11).
作者姓名:刘成林  郇延军  孙敬  钱灵燕
作者单位:江南大学,食品学院,农产品加工与贮藏重点实验室,江苏,无锡,214122
基金项目:国家自然科学基金,国家科技支撑计划 
摘    要:为了弄清金华火腿的主导风味成分,随机取5条不同等级金华火腿的股二头肌为样品,利用固相微萃取(SPME)和气质联用(GC/MS)系统进行风味成分研究。结果发现,四级火腿中共检测到116种成分,在1-4级火腿中分别检出84,84,83和92种成分。经过设定类群数目进行R-型聚类分析,最终得到13种主导风味成分,分别为:丁酸、已醛、丁酸乙酯、乙酸、戊醛、2-甲基丁醛、3-甲基丁醛、丙酮、3-甲基丁酸、2,3-丁二醇、2-甲基丙酸、苯酚和丙酸。

关 键 词:金华火腿  风味  聚类分析  树状图

Study on Jinhua Ham Dominant Flavor Compositions by R-cluster Analysis Method
LIU Chenglin,HUAN Yanjun,SUN Jing,QIAN Lingyan.Study on Jinhua Ham Dominant Flavor Compositions by R-cluster Analysis Method[J].Meat Research,2008(11).
Authors:LIU Chenglin  HUAN Yanjun  SUN Jing  QIAN Lingyan
Affiliation:LIU Chenglin; HUAN Yanjun; SUN Jing; QIAN Lingyan (The State Key Laboratory of Storage and processing of agricultural products; School of Food Science and Technology; Jiangnan University; Wuxi 214122; China);
Abstract:In order to analyze Jinhua ham dominant flavor compositions, flavor studying of different grades Jinhua ham was carried out under a SPME (solid phase microextraction)-GC/MS system, with biceps femoris as samples that were taken out randomly from 5 Jinhua hams of different grades. Results showed that 116 flavors were detected in four grades hams, 84 flavors were detected in grade 1 Jinhua ham, and 84 in grade 2, 83 in grade 3, 92 in grade 4, respectively. We got 13 flavor components using R-cluster analysis ...
Keywords:Jinhua ham  flavor  cluster analysis  tree-map
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号