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Using Comprehensive Two-Dimensional Gas Chromatography Retention Indices To Estimate Environmental Partitioning Properties for a Complete Set of Diesel Fuel Hydrocarbons

机译:使用全面的二维气相色谱保留指数估算整套柴油燃料碳氢化合物的环境分配特性

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Comprehensive two-dimensional gas chromatography (GC(X)GC) provides nearly complete composition data for some complex mixtures such as petroleum hydrocarbons. However, the potential wealth of physical property information contained in the corresponding two-dimensional chromatograms is largely untapped. We developed a simple but robust method to estimate GC(X)GC retention indices for diesel-range hydrocarbons. By exploiting n-alkanes as reference solutes in both dimensions, calculated retention indices were insensitive to uncertainty in the enthalpy of gas-stationary-phase transfer for a suite of representative diesel components. We used the resulting two-dimensional retention indices to estimate the liquid vapor pressures, aqueous solubilities, air-water partition coefficients, octanol-water partition coefficients, and vaporization enthalpies of a nearly complete set of diesel fuel hydrocarbons. Partitioning properties were typically estimated within a factor of 2; this is not as accurate as some previous estimation or measurement methods. However, these relationships may allow powerful and incisive analysis of phase-transfer processes affecting petroleum hydrocarbon mixtures in the environment. For example, GC(X)GC retention data might be used to quantitatively deconvolve the effects of water washing and evaporation on environmentally released diesel fuels.
机译:全面的二维气相色谱(GC(X)GC)为某些复杂的混合物(如石油烃)提供了几乎完整的组成数据。但是,相应的二维色谱图中包含的大量潜在的物理性质信息尚未得到充分利用。我们开发了一种简单但可靠的方法来估算柴油范围碳氢化合物的GC(X)GC保留指数。通过在两个方向上利用正构烷烃作为参考溶质,计算出的保留指数对一套代表性柴油组分的气相固定相转移焓的不确定性不敏感。我们使用所得的二维保留指数来估算几乎整套柴油燃料碳氢化合物的液体蒸气压,水溶解度,空气-水分配系数,辛醇-水分配系数和汽化焓。分区属性通常估计为2的倍数;这不如某些先前的估计或测量方法准确。但是,这些关系可以对影响环境中的石油烃混合物的相转移过程进行有力而敏锐的分析。例如,GC(X)GC保留数据可用于定量消除水洗和蒸发对环境释放的柴油燃料的影响。

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