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
史洪飞,高级实验师,研究方向:毒物毒品检验、食品药品环境检验检测技术与应用,E-mail:2657900976@qq.com
纸质出版日期:2024-03-15,
收稿日期:2023-11-15,
修回日期:2023-12-29,
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史洪飞,徐伯芃,徐成鑫等.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[J].分析测试学报,2024,43(03):382-392.
SHI Hong-fei,XU Bo-peng,XU Cheng-xin,et al.Qualitative Analysis of Volatile Components in e-Liquids by Liquid-Liquid Extraction/Gas Chromatography-Mass Spectrometry and Automated Deconvolution-Kováts Retention Index Method[J].Journal of Instrumental Analysis,2024,43(03):382-392.
史洪飞,徐伯芃,徐成鑫等.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[J].分析测试学报,2024,43(03):382-392. DOI: 10.12452/j.fxcsxb.23111501.
SHI Hong-fei,XU Bo-peng,XU Cheng-xin,et al.Qualitative Analysis of Volatile Components in e-Liquids by Liquid-Liquid Extraction/Gas Chromatography-Mass Spectrometry and Automated Deconvolution-Kováts Retention Index Method[J].Journal of Instrumental Analysis,2024,43(03):382-392. DOI: 10.12452/j.fxcsxb.23111501.
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-liquid 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-liquids was analyzed based on the aroma characteristics of the aroma components in the liquids to determine 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 using 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 compounds as the main components. Eighty components were detected in twenty-one kinds of fruit flavored e-liquids,with fruity and floral aroma compounds as the main compounds,and the characteristic 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-treatment 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.
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
liquid-liquid extractiongas chromatography-mass spectrometryautomatic deconvolution-Kováts retention index methode-liquidcharacteristic aroma component
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