加热不燃烧卷烟与传统卷烟热裂解指纹图谱分析评价

doi:10.14088/j.cnki.issn0439-8114.2021.24.039

湖北农业科学 ›› 2021, Vol. 60 ›› Issue (24): 178-183.doi: 10.14088/j.cnki.issn0439-8114.2021.24.039

加热不燃烧卷烟与传统卷烟热裂解指纹图谱分析评价

杨雪燕, 段勤, 田飞宇, 杨屹, 肯生叶

云南养瑞科技集团有限公司,昆明 650217

收稿日期:2021-01-29 出版日期:2021-12-25 发布日期:2022-01-04
通讯作者: 肯生叶（1986-）,男,云南褔贡人,工程师,硕士,主要从事香精香料品质分析研究,（电话）18788487285（电子信箱）846426288@qq.com。
作者简介:杨雪燕（1987-）,女,云南大理人,工程师,硕士,主要从事烟草化学分析研究,（电话）15911606306（电子信箱）825130957@qq.com;

Analysis and evaluation of heat-not-burn cigarette and traditional cigarette pyrolysis products by fingerprint

YANG Xue-yan, DUAN Qin, TIAN Fei-yu, YANG Yi, KEN Sheng-ye

Yunnan Yangrui Technology Group Co.,Ltd.,Kunming 650217,China

Received:2021-01-29 Online:2021-12-25 Published:2022-01-04

摘要/Abstract

摘要： 建立了获取烟草材料指纹图谱的裂解-气相色谱/质谱（Py-GC/MS）方法,对国内外6个品牌加热不燃烧卷烟（HNB）和国内3个品牌传统卷烟（TC）的烟草材料成分进行了测定,基于烟草材料的Py-GC/MS指纹图谱数据进行相似度计算,并采用聚类分析法对烟草材料的组成差异进行分析评价。结果表明,在Py-GC/MS法所获取的HNB、TC指纹图谱中共筛选出 32个共有峰,其中 HNB 相对 TC 含量较高的化合物有乙酸甘油酯和甘油,而 TC 含量较高的化合物主要为糖类物质的裂解产物;HNB与TC裂解产物指纹图谱的相似度较低（0.304~0.703）,而HNB之间、TC之间的指纹图谱相似度高,分别为0.878~0.999和0.986~0.998;通过聚类模式识别,TC和HNB烟草材料完全区分为两类,HNB烟草材料根据制备工艺的明显差异又分为两类。该研究结果可为不同烟草材料的区分提供判别依据。

关键词: 加热不燃烧卷烟, 传统卷烟, 热裂解-气相色谱/质谱, 指纹图谱, 聚类分析

Abstract: A pyrolysis-gas chromatography/mass spectrometry （Py-GC/MS） method was developed to obtain the fingerprint of tobacco materials, the tobacco material ingredients of 6 domestic and foreign brands of heat-not-burn cigarettes and 3 domestic brands of traditional cigarettes were determined. The similarity value of Py-GC/MS fingerprint data of tobacco materials was calculated, and the cluster analysis method was used to evaluate the composition differences of tobacco materials. The results showed that a total of 32 common peaks were screened from HNB and TC fingerprints obtained by Py-GC/MS. Among which, the compounds with higher content of HNB than that of TC were glyceryl acetate and glycerol, while the compounds with higher content of TC were mainly the pyrolysis products of carbohydrate; The pyrolysis product fingerprints of HNB and TC had a low similarity value （0.304~0.703）, while the fingerprints between HNB and between TC had a high similarity value, which were 0.878~0.999 and 0.986~0.998, respectively; Through cluster pattern recognition, TC and HNB tobacco materials were completely divided into two categories, and HNB tobacco materials were further divided into two categories according to obvious differences in preparation process. This study results can provide a basis for the discrimination of different tobacco materials.

Key words: heat-not-burn cigarette, traditional cigarette, Py-GC/MS, fingerprint, cluster analysis

中图分类号:

TS411

杨雪燕, 段勤, 田飞宇, 杨屹, 肯生叶. 加热不燃烧卷烟与传统卷烟热裂解指纹图谱分析评价[J]. 湖北农业科学, 2021, 60(24): 178-183.

YANG Xue-yan, DUAN Qin, TIAN Fei-yu, YANG Yi, KEN Sheng-ye. Analysis and evaluation of heat-not-burn cigarette and traditional cigarette pyrolysis products by fingerprint[J]. HUBEI AGRICULTURAL SCIENCES, 2021, 60(24): 178-183.

参考文献

[1] SIMONAVICIUS E, MCNEILL A, SHAHAB L, et al.Heat-not-burn tobacco products:A systematic literature review[J] . Tobacco control, 2018, 28(5):1-13.
[2] BROSE L S, SIMONAVICIUS E, CHEESEMAN H.Awareness and use of ‘heat-not-burn’ tobacco products in great Britain[J] . Tobacco regulatory science, 2018,4(2):44-50.
[3] WERLEY M S, FREELIN S A, WRENN S E, et al.Smoke chemistry, in vitro and in vivo toxicology evaluations of the electrically heated cigarette smoking system series K[J] . Regulatory toxicology and pharmacology, 2008,52(2):122-139.
[4] 李勇,逄涛,师君丽,等. 加热不燃烧烟草制品与传统卷烟化学指纹分析[J] .中国烟草科学,2019,40(4):76-83.
[5] 汤晓东,蒋佳磊,陈晓水,等. 烟丝裂解产物指纹图谱及在卷烟品质评价中的应用[J] .烟草科技,2020,53(1):44-52.
[6] JIN B B, PEI X P, LIANG H Z.Establishment of HPLC fingerprint,cluster analysis and principle component analysis of citri reticulatae pericarpium viride[J] .Medicinal plant,2019,10(1):69-73.
[7] 张景丽, 罗霞, 郑林用, 等. 运用色谱指纹图谱与化学计量学方法对灵芝进行分类[J] .色谱, 2009,27(6):776-780.
[8] 李军,朱苏闽,林平. 固相微萃取-气相色谱-质谱指纹图谱鉴别仿冒品牌卷烟[J] .烟草科技,2002(12):26-28.
[9] 余苓,张怡春,周春平, 等. 烟丝硅烷化GC指纹图谱在卷烟质量判别中的应用[J] .中国烟草学报,2007,13(3):18-20.
[10] 曹建敏,于卫松,黄建,等.烤烟致香物质GC/MS指纹图谱在产区识别中的应用[J] .中国烟草科学,2014,35(6):85-89.
[11] BAKER R R.A review of pyrolysis studies to unravel reaction steps in burning tobacco[J] . Journal of analytical and applied pyrolysis,1987,11:555-573.
[12] IRWIN W J.Analytical pyrolysis—an overview[J] . Journal of analytical and applied pyrolysis,1979,1(2):89-122.
[13] 刘亚丽,王金棒,郑新章,等. 加热不燃烧烟草制品发展现状及展望[J] . 中国烟草学报,2018,24(4):91-106.
[14] BREHENY D, ADAMSON J, AZZOPARDI D, et al.A novel hybrid tobacco product that delivers a tobacco flavour note with vapour aerosol (Part 2):In vitrobiological assessment and comparison with different tobacco-heating products[J] . Food and chemical toxicology, 2017,106: 533-546.
[15] 孔浩辉,郭璇华,沈光林. 裂解气相色谱-质谱联用法分析卷烟燃吸产物[J] . 理化检验(化学分册),2010,46(1):69-73.
[16] 孔浩辉,郭璇华,沈光林. 卷烟烟丝热裂解产物香味成分分析[J] . 烟草科技,2009(5):38-43,47.
[17] 杨继,杨帅,段沅杏,等. 加热不燃烧卷烟烟草材料的热分析研究[J] . 中国烟草学报,2015,21(6):7-13.
[18] 朱桂华,刘春波,杨晨,等.加热卷烟烟草材料分段裂解分析[J] . 食品与机械,2020,36(2):62-68,72.
[19] 戴路, 陶丰, 袁凯龙, 等. 造纸法再造烟叶的研究进展[J] . 中国造纸学报, 2013, 28(1): 65-69.
[20] 朱浩, 席辉, 柴国璧, 等. 温度对加热非燃烧卷烟烟熏香成分释放的影响[J] . 烟草科技, 2017, 50(11): 33-38.
[21] 戴路, 史春云, 卢昕博, 等. 加热不燃烧制品与传统卷烟再造烟叶物理特性及化学成分差异分析[J] . 中国烟草学报,2017, 23(1): 20-26.

加热不燃烧卷烟与传统卷烟热裂解指纹图谱分析评价

Analysis and evaluation of heat-not-burn cigarette and traditional cigarette pyrolysis products by fingerprint

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	张丽先, 魏悦, 李飞飞, 李智宁, 张桃桃. 地黄不同炮制品指纹图谱模式识别及多成分含量测定[J]. 湖北农业科学, 2023, 62(9): 135-141.
[2]	翁静, 梁社往, 冉余艳, 史静, 何忠俊. 基于矿质元素指纹特征的春三七块根产地溯源研究[J]. 湖北农业科学, 2023, 62(6): 94-99.
[3]	刘志有, 魏冉, 曲秀武, 郝潘潘. 乡村振兴背景下农村公共文化服务设施调查研究——以新疆乌鲁木齐县为例[J]. 湖北农业科学, 2023, 62(5): 241-246.
[4]	刘纤纤, 李文莉, 梁晓莲, 周楚惠, 陈勇, 罗孔现, 刘兆祥. 广西不同产地红穿破石地上及地下部分HPLC指纹图谱研究[J]. 湖北农业科学, 2023, 62(12): 163-170,177.
[5]	魏子涵, 王文琦, 赵泽林, 张诗涵, 张丽艳, 李军, 马四补. 补骨脂盐炙前后HPLC指纹图谱的比较[J]. 湖北农业科学, 2023, 62(12): 171-177.
[6]	白天, 崔新仪, 李宁, 程伟霞, 张斌, 刘敬波. 基于高效液相色谱法的芹菜11种酚类化合物分析及应用[J]. 湖北农业科学, 2023, 62(10): 185-190.
[7]	侯静, 黎理, 景晓彤, 梁圆, 韦珊珊, 蔡毅. 斑地锦及近缘种的HPLC指纹图谱鉴别研究[J]. 湖北农业科学, 2022, 61(9): 127-131.
[8]	赵伟朝, 赵宇鹏. 基于因子分析的中国经济高质量发展的测度研究[J]. 湖北农业科学, 2022, 61(9): 168-175.
[9]	魏书蕾, 王宏智. 基于因子分析法的山东省农产品物流发展水平研究[J]. 湖北农业科学, 2022, 61(8): 169-173.
[10]	刘笑, 李林杰, 王昱涵, 王志萍. 基于多种分析模式建立壮药材火索藤的HPLC指纹图谱[J]. 湖北农业科学, 2022, 61(7): 103-107.
[11]	杨红兵, 杨佳, 石磊, 詹志来. 厚朴花药材的指纹图谱研究[J]. 湖北农业科学, 2022, 61(3): 134-139.
[12]	张丽先, 宁二娟, 李智宁, 魏悦, 李飞飞, 张桃桃. 地黄炮制过程中HPLC-RID指纹图谱及模式识别研究[J]. 湖北农业科学, 2022, 61(23): 93-96.
[13]	杨妮, 谢巍, 王建. 广西莪术优良种质单株产量和挥发油含量的聚类分析[J]. 湖北农业科学, 2022, 61(18): 108-112.
[14]	徐雨生, 袁定阳, 刘玲, 辛文锋, 余正勇, 段美娟. 茯苓HPLC指纹图谱的建立及三萜酸含量测定[J]. 湖北农业科学, 2022, 61(15): 199-203.
[15]	谢巍, 杨妮, 肖萍, 卢森华, 莫礼艳. 银菊止痒洗液HPLC特征指纹图谱及聚类分析[J]. 湖北农业科学, 2022, 61(15): 204-208.