GC-O香韵识别技术辅助开发优质烟叶特征香产品

Using GC-O Aroma Recognize Technology Supporting the Exploitation of Characteristic Aroma Flavor Products of High Quality Tobacco Leaves

试验利用GC-MS和GC-O技术深入研究了津巴布韦优质烟叶特征香提取物成分组成和香韵分布。GMMS-O检测出了67种,主要成分包括苯乙醇、巨豆三烯酮、β-大马酮、茄酮、螺岩兰草酮和香叶基香叶醇等。采用浓度稀释法确定了以巨豆三烯酮为代表的烟草香、螺岩兰草酮为代表的果香和木香的主体香韵,以及β-大马酮和香叶基香叶醇代表的甜香、二氢猕猴桃内酯为代表的果香香韵作为主要辅助香韵。以香韵识别的研究成果为指导,通过调香技术,仿制出了津巴布韦特征香香精产品,经感官评价,仿制品与天然提取物产品提取物非常相似。由此证明,通过香韵识别结合感官调香,为香精开发提供了一条新路。

The GC-MS and GC-O techniques were used to study the components and aroma distribution of characteristic aroma extractive from Zimbabwe high quality tobacco leaves.67 kinds of aroma were detected by GM-MS-O,the main component including benzene ethanol,megastigmatrienone,β-damascenone,solanone,snail vetiver ketone and geranylgeraniol and so on.The tobacco fragrance was represented by megastigmatrienone,the fruity and woody fragrance were represented by snail vetiver ketone,the sweet was represented by β-damascenone and geranylgeraniol and the fruity was represented by dihydro actinidia lactone,all the above as the main auxiliary note was determined by concentration dilution method.Guide by the research findings of note recognition,imitate the characteristics aroma products of Zimbabwe by perfumery technique,the imitations were very similar to the extractive of natural after sensory evaluation.It was proved that the aroma recognition combined with sensory fragrance could provide a new way for flavor development.