云烟净油有机膜分离成分中关键香气成分与感官属性的关联系分析

[目的]研究云烟净油成分与卷烟感官指标的关联性.[方法]采用GC-MS分析云烟净油有机膜分离组分中的香气成分组成,计算ROAV值确定关键香气成分,用偏最小二乘回归分析法(PLSR)建立云烟净油有机膜分离组分的关键香味成分与感官指标的PLS模型.[结果](1)在100 kDa有机膜截留液中,有25种不同的挥发性香味物质,...

Correlation analysis between key aroma components and sensory attributes of the separation components from Virginia tobacco absolute by organic membrane

  Objective  This study aims to investigate the correlation between the components of Virginia tobacco absolute and the cigarettes sensory indexes.  Methods  The composition of aroma components separated from Virginia tobacco absolute by organic membrane was analyzed by GC-MS. The ROAV value was calculated to determine the key aroma components, and the sensory evaluation was carried out. The partial least squares regression analysis (PLSR) was used to establish the PLS model of key aroma components and sensory indicators separated from Virginia tobacco absolute by organic membrane.  Results  (1) In the 100 kDa organic membrane retentate, there were 25 different volatile aroma substances, among which ethyl oleate, decanal, nonanal, myristic aldehyde, 3, 5-ditert-butyl-4-hydroxybenzyl alcohol and benzothiazole were the key aroma components in this component. The hay aroma had a strong correlation with the ethyl oleate in the 100 kDa organic membrane retentate of Yunyan Oil; (2) In the 100 kDa organic membrane permeate, there were 30 different volatile aroma substances, among which ethyl stearate, decanal, octyl formate, n-octanal, nonanal, and macrostigmine were the key aroma components. Sweet fragrance had a strong correlation with the nonanal in the oil 100 kDa organic membrane permeate.