液液萃取/气相色谱-质谱法结合自动解卷积-Kováts保留指数法定性分析电子烟液中的挥发性成分  

Qualitative Analysis of Volatile Components in e-Liquids by LiquidLiquid Extraction/Gas Chromatography-Mass Spectrometry and Au⁃tomated Deconvolution-Kováts Retention Index Method

作　　者：史洪飞 徐伯芃 徐成鑫 权养科 周修齐 应耿迪 SHI Hong-fei;XU Bo-peng;XU Cheng-xin;QUAN Yang-ke;ZHOU Xiu-qi;YING Geng-di(College of Criminal Science and Technology,Nanjing Police College,Nanjing 210023,China;Institute of Forensic Science,Ministry of Public Security,Beijing 100038,China;Nanjing Tobacco Company Liuhe Branch,Nanjing 211500,China)

机构地区：[1]南京警察学院刑事科学技术学院,江苏南京210023 [2]公安部鉴定中心,北京100038 [3]南京市烟草公司六合分公司,江苏南京211500

出　　处：《分析测试学报》2024年第3期382-392,共11页Journal of Instrumental Analysis

基　　金：2023年国家级大学生创新重点项目(202312213016Z);江苏省“十四五”重点学科(公安技术)资助(苏教研函〔2022〕2号);江苏省高校“青蓝工程”资助(苏教师函〔2021〕11号)。

摘　　要：基于液液萃取/气相色谱-质谱法结合自动解卷积-Kováts保留指数法,建立了电子烟液中挥发性成分的检测方法。对提取溶剂种类进行了优化,并依据烟液中香气成分的香气特征,分析果味和烟草味烟液的香韵构成和差异,确定不同果味烟液的特征香气成分。结果表明:①以乙醚为提取溶剂能减弱丙三醇对其他组分识别的干扰。②自动解卷积法能准确识别共流出组分和低含量组分;Kováts保留指数法提升了化合物识别的准确度。③在10种烟草味烟液中检出15种成分,以豆香、焦香香韵化合物为主;在21种果味烟液中检出80种成分,以果香、花香香韵化合物为主,确定了16类果味烟液的特征香气成分。通过随机验证实验,该方法可有效分辨不同果味类型的果味烟液和烟草味烟液。该方法样品用量少、前处理过程简单、样品分析用时短,能满足烟液中香气成分的检测需要,可为果味电子烟液的检验识别和监管提供参考。A method for the extraction and detection of aroma components in e-liquids by liquid-liq⁃uid extraction/gas chromatography-mass spectrometry and automatic deconvolution-Kováts retention index has been developed to provide reference for the inspection,identification,and supervision of fruit flavored e-liquids.Based on liquid-liquid extraction method,the type of extraction solvent was selected.After that the aroma composition and differences between fruity and tobacco flavored e-liq⁃uids was analyzed based on the aroma characteristics of the aroma components in the liquids to deter⁃mine the characteristic aroma components of different fruity flavored e-liquids.The results showed that choosing ether as the extraction solvent weakened the interference of glycerol on the recognition of other components.Qualitative analysis of low content and co-eluting components was achieved by us⁃ing the automatic deconvolution-Kováts retention index data analysis method.Fifteen components were detected in ten kinds of tobacco flavored e-liquids,with soybean and caramel aroma com⁃pounds as the main components.Eighty components were detected in twenty-one kinds of fruit fla⁃vored e-liquids,with fruity and floral aroma compounds as the main compounds,and the character⁃istic aroma components of sixteen types of fruit flavored e-liquids were identified.Through random validation experiments,the method can effectively differentiate between fruit flavored e-liquids and tobacco flavored e-liquids,and identify the flavor types of fruit flavored e-liquids.The detection method established in this paper has the advantages of low sample consumption,simple pre-treat⁃ment process,and short sample analysis time.It can meet the needs of detecting aroma components in e-liquids.It also provides a reference for the identification and regulation of the detection of fruity e-liquids.

关 键 词：液液萃取 气相色谱-质谱法 自动解卷积-Kováts保留指数法 电子烟液 特征香气成分 

分 类 号：O657.7[理学—分析化学] S859.81[理学—化学]