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卷烟主流烟气粒相物香气结构分析

Aroma structure analysis of total particulate matter in mainstream cigarette smoke
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摘要 为研究不同类型卷烟香气结构的差异,利用GC-MS分析了8种特征香气成分组群在15种卷烟烟气粒相物中的释放量,计算了各特征香气成分的香气活性值和各组群的香气活性值之和(SOAV),利用主成分分析(PCA)及层次聚类分析(HCA)对不同卷烟各特征香气成分组群进行了统计学分析及卷烟样品分类。结果表明:①同一组群特征香气成分的释放量具有很强的共性规律。②8个特征香气成分组群中焦甜香成分组群的贡献权重在中式卷烟中最高,在美式混合型卷烟中的贡献权重明显降低,在英式烤烟中的贡献权重处于中式卷烟和美式混合型卷烟样品之间。③主成分分析能够有效区分中式卷烟和国外卷烟样品,层次聚类分析能够有效区分中式卷烟与国外卷烟样品,又可区分中式卷烟中具有特殊香气结构的1号卷烟及11、12号卷烟。 To investigate the differences in aroma structure of different types of cigarettes,the contents of 8 groups of aroma components in the total particulate matter(TPM)of 15 types of cigarettes were analyzed by GC-MS.The aroma activity values of each aroma component and the SOAV of each component group were calculated.Principal component analysis(PCA)and hierarchical cluster analysis(HCA)were used to analyze the different aroma groups of the cigarettes and to classify the cigarette samples.The results showed that:1)The amount of aroma components released in the same group showed a strong common pattern.2)The contribution weight of burnt-sweet aroma component group was the highest in the 8 groups of Chinese-style cigarettes.The contribution weight of the burnt-sweet aroma component groups decreased in the US blended cigarettes,and that of the British flue-cured type of cigarettes was between the Chinese-style cigarettes and the US blended cigarettes.3)Chinese-style cigarettes could be effectively distinguished from the foreign cigarettes by PCA.HCA divided the cigarette samples into two categories,Chinese style cigarettes and foreign brands.Furthermore,HCA could separate No.1 cigarette sample with special aroma structure and No.11 and No.12 cigarette samples from the other Chinese style cigarette samples.
作者 史清照 王超 柴国璧 范武 任瑞冰 宋瑜冰 金哲 刘俊辉 李河霖 张启东 SHI Qingzhao;WANG Chao;CHAI Guobi;FAN Wu;REN Ruibing;SONG Yubing;JIN Zhe;LIU Junhui;LI Helin;ZHANG Qidong(Zhengzhou Tobacco Research Institute of CNTC,Zhengzhou 450001,China;Jilin Tobacco Industrial Co.,Ltd.,Changchun 130000,China)
出处 《烟草科技》 CAS CSCD 北大核心 2024年第8期1-10,共10页 Tobacco Science & Technology
基金 中国烟草总公司重点实验室项目“基于感官组学的天然香料风味组群研发及应用”(中烟办[2019]69号) 国家烟草专卖局创新平台科研活动稳定支持专项经费“基于烟气风味维度的烟草制品风味结构模型研究”(402021AWCX05) 郑州烟草研究院青年人才托举工程项目“β-环糊精包埋香料的选择性及释放动力学研究”(442020CR0330) 吉林烟草工业有限责任公司资助项目“基于烟末提取物的精细化香料产品研发及其对卷烟风味的影响研究”(442022DG0410)。
关键词 卷烟 主流烟气 特征香气成分组群 贡献度 主成分分析 聚类分析 感官组学 Cigarette Mainstream cigarette smoke Characteristic aroma component group Contribution Principal component analysis Cluster analysis Sensomics
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