摘要
在HS-SPME-GC/MS法分析不同产地烟叶样品中香气成分的基础上,用选择相似性指数(SSI)比较不同产地烟叶样品之间的差异。通过对前处理和仪器条件优化,建立烟叶中香气成分分析方法并采用该方法分析8种烟叶样品。结果表明,优化确定的试验条件为:0.5 g烟叶样品,70℃下用灰色萃取头萃取20 min,解吸2 min后进行GC/MS分析。8个烟叶样品中共检测到125种香气成分。8种烟叶样品香气成分的SSI分析结果表明,共检出指标相似度最高的样品为“红大”-“K326”,其次是“贵州”-“K326”,相似度最低的样品为“安徽”-“K326”。该研究结果可为不同产区烟叶在卷烟生产和加工过程中的选用提供参考。
After the flavor components in tobacco samples from different origins were analyzed by headspace-solid phase microextraction-gas chromatography-mass spectrometry(HS-SPME-GC/MS),the differences between tobacco samples were compared using the selection similarity index(SSI).In order to study the flavor components in tobacco leaves,a method for analyzing the flavor components in tobacco leaves by HS-SPME-GC/MS was developed.8 tobacco leave samples from different areas were analyzed using this method after optimizing the conditions of the pretreatment and instrument parameters.The results showed that the optimized experimental conditions were tobacco leave sample 0.5 g,extracting for 20 minutes at 70℃by using gray extraction head,headspace sampling after desorbing for 2 minutes,then GC/MS analysis.A total of 125 flavor components were detected in 8 tobacco leave samples.The results of selected similarity index(SSI)analysis of the flavor components in 8 tobacco leave samples showed that the highest similarity index was‘Hongda’-‘K326’,followed by‘Guizhou’-‘K326’,and the lowest similarity index was‘Anhui’-‘K326’.The results of this study can provide support for the selection of tobacco raw materials in cigarette processing.
作者
张凤梅
韩敬美
王庆华
司晓喜
蒋薇
刘志华
朱瑞芝
唐石云
李振杰
李响丽
ZHANG Feng-mei;HAN Jing-mei;WANG Qing-hua(Yunnan Key Laboratory of Tobacco Chemistry,R&D Center of China Tobacco Yunnan Industrial Co.,Ltd.,Kunming,Yunnan 650231)
出处
《安徽农业科学》
CAS
2021年第7期191-196,共6页
Journal of Anhui Agricultural Sciences
基金
云南中烟工业有限责任公司科技项目(2019CP01,2018JC04)
云南省技术创新人才培养项目(2018HB091)。
关键词
烟叶
顶空
固相微萃取
气质联用法
香气成分
选择相似性指数
Tobacco leaves
Headspace
Solid phase microextraction
Gas chromatography-mass spectrometry
Flavor component
Selected similarity index