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烟丝挥发性香味物质与卷烟感官质量的相关性研究
引用本文:郭华诚,张月华,李阳光,许克静.烟丝挥发性香味物质与卷烟感官质量的相关性研究[J].食品与机械,2019(1):209-212.
作者姓名:郭华诚  张月华  李阳光  许克静
作者单位:河南中烟工业有限责任公司
摘    要:选取中国市场价为每条200~300元的卷烟(30个样品)为研究对象,采用同时蒸馏萃取法测定其挥发性香味物质含量,并对其感官质量进行评价。运用简单相关分析、逐步回归分析和主成分分析对各项指标间的相关性进行了统计分析。结果表明:不同卷烟烟丝中的总香味含量,各类香味物质和感官评价结果符合正态分布;不同卷烟烟丝中致香成分和感官质量之间具有一定的相关性,其中,卷烟香气和杂气与烟丝所含的总香味物质以及大部分香味物质呈显著正相关。得到香气和谐调性指标的预测模型方程,经显著性测验均达到了极显著水平。总香味物质含量、新植二烯、酮类、醛类和酚类是主要的影响因子,其中,总香味物质含量是影响卷烟感官质量的主体因子。

关 键 词:香味物质  感官质量  相关分析  逐步回归分析  主成分分析
收稿时间:2018/9/8 0:00:00

Study on the correlation between volatile aroma substances and sensory quality of cigarettes
GUOHuacheng,ZHANGYuehu,LIYangguang,XUKejing.Study on the correlation between volatile aroma substances and sensory quality of cigarettes[J].Food and Machinery,2019(1):209-212.
Authors:GUOHuacheng  ZHANGYuehu  LIYangguang  XUKejing
Affiliation:China Tobacco Henan Industry Co., Ltd., Zhengzhou, Henan 450016, China
Abstract:30 samples of cigarettes, in price of 200~300 yuan, were selected from the domestic market for the study. The volatile aroma substances were determined by simultaneous distillation extraction, and its sensory quality was evaluated. According to the analysis of basic correlation, stepwise regression analysis and principal component, the correlation between the indicators was analyzed statistically. The results showed that the total aroma content of cigarettes in different cigarettes, various flavoring substances and sensory evaluation were with normal distribution. Among the different kinds of cigarettes, a correla-tion between tobacco aroma constituents and the sensory quality was found. Among them, the cigarettes aroma and miscellaneous gas and the total aroma substances containing in tobacco and most of the scent material were significantly positive correlation. The two predictive model equations of aroma and harmony were obtained, and the significant test was achieved. The main influence factors were neophytadiene, ketones, aldehydes, phenols and total aromal level, which was the main factor of sensory quality.
Keywords:aroma substances  sensory quality  correlation analysis  stepwise regression analysis  principal components analysis
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