The use of electronic nicotine delivery systems continues to gain popularity, and there is concern for potential health risks from inhalation of aerosol and vapor produced by these devices. An analytical method was developed that provided quantitative and qualitative chemical information for characterizing the volatile constituents of bulk electronic cigarette liquids (e-liquids) using a static headspace technique. Volatile organic compounds (VOCs) were screened from a convenience sample of 146 e-liquids by equilibrating 1 g of each e-liquid in amber vials for 24 h at room temperature. Headspace was transferred to an evacuated canister and quantitatively analyzed for 20 VOCs as well as tentatively identified compounds using a preconcentrator/gas chromatography/mass spectrometer system. The e-liquids were classified into flavor categories including brown, fruit, hybrid dairy, menthol, mint, none, tobacco, and other. 2,3-Butanedione was found at the highest concentration in brown flavor types, but was also found in fruit, hybrid dairy, and menthol flavor types. Benzene was observed at concentrations that are concerning given the carcinogenicity of this compound (max 1.6 ppm in a fruit flavor type). The proposed headspace analysis technique coupled with partition coefficients allows for a rapid and sensitive prediction of the volatile content in the liquid. The technique does not require onerous sample preparation, dilution with organic solvents, or sampling at elevated temperatures. Static headspace screening of e-liquids allows for the identification of volatile chemical constituents which is critical for identifying and controlling emission of potentially hazardous constituents in the workplace.

中文翻译：

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顶空分析筛选电子果汁散装材料的挥发性有机化合物谱

电子尼古丁输送系统的使用继续受到欢迎，人们担心吸入这些设备产生的气溶胶和蒸汽可能会带来潜在的健康风险。开发了一种分析方法，该方法提供定量和定性化学信息，用于使用静态顶空技术表征散装电子烟液（电子烟液）的挥发性成分。通过在琥珀色小瓶中将 1 克每种电子烟液在室温下平衡 24 小时，从 146 种电子烟液的方便样品中筛选出挥发性有机化合物 (VOC)。将顶空转移到真空罐中，并使用预浓缩器/气相色谱/质谱仪系统对 20 种 VOC 以及初步鉴定的化合物进行定量分析。电子烟油按口味分类，包括棕色、水果、混合乳制品、薄荷醇、薄荷、无、烟草等。2,3-丁二酮在棕色风味类型中浓度最高，但也在水果、混合乳制品和薄荷醇风味类型中发现。考虑到该化合物的致癌性，观察到苯的浓度令人担忧（水果风味类型中的最高浓度为 1.6 ppm）。所提出的顶空分析技术与分配系数相结合，可以快速、灵敏地预测液体中的挥发性含量。该技术不需要繁琐的样品制备、有机溶剂稀释或在高温下取样。电子液体的静态顶空筛查可以识别挥发性化学成分，这对于识别和控制工作场所中潜在危险成分的排放至关重要。