全二维气相色谱-质谱分析煤油基吸热型碳氢燃料烃族组成

采用全二维气相色谱-质谱联用（GC×GC-MS）考察了色谱柱系统、程序升温条件和调制周期3个主要因素对样品组分分离结果的影响，建立了煤油基吸热型碳氢燃料烃族组成的定性分析方法，并利用GC×GC-FID通过有效碳数校正因子对烃族组成进行定量。对选取的9种燃料的分析结果表明，该方法对链烷烃和环烷烃的定量结果与标准方法ASTM D2425的结果高度一致，相对误差基本均在±10%以内。利用该方法计算的碳含量结果与元素分析法相比误差均在0.5%以下。该方法无需复杂的前处理，稀释后可直接进样分析，操作简单，而且可直观地看出不同样品之间的差异，为改进燃料的性能提供了必要的分析手段。

Analysis of kerosene-based endothermic hydrocarbon fuel using comprehensive two-dimensional gas chromatography coupled to mass spectrometry

Hydrocarbon fuels are mainly composed of n-alkenes, iso-alkanes, cycloalkanes (primarily single-and double-ring), alkylbenzenes, indans, tetralins, naphthalene, and alkylnaphthalenes. Different hydrocarbon classes impart different properties to a fuel. An identification method of hydrocarbon classes in kerosene-based endothermic hydrocarbon fuel was established using comprehensive two-dimensional gas chromatography coupled to mass spectrometry (GC×GC-MS). Moreover, the corresponding quantitative determination was achieved using the effective carbon number correction factors of GC×GC-FID. The effects of the main chromatographic conditions such as the column system, program heating conditions, and modulation period on the separation of fuels were discussed. Nine hydrocarbon fuels were analyzed. The results showed that the contents of paraffin and cycloalkanes are consistent with the results obtained using the standard test method ASTM D2425. The relative error is within ±10%. The carbon content calculated using this method has an error of less than 0.5% compared with the elemental analysis method. This method does not require complicated pretreatment, and the sample can be injected directly after dilution. Compared with the traditional GC-MS, the operation is simple, and the differences among various samples can be observed intuitively, which helps in improving the performance of the fuel.