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Predicting Gas Chromatographic Retention Times using Thermodynamics.

机译:使用热力学预测气相色谱保留时间。

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摘要

An investigation into different methods to determine thermodynamic parameters from gas chromatographic retention data for their application in predictive models was performed. Based on a rigorous evaluation it was determined that a linearized three-parameter model was most suitable for this application. These thermodynamic parameters were found to vary when the carrier gas was changed from helium to hydrogen or nitrogen. This effect could not be attributed to the kinetics of the system.;Quantitative structure retention relationships were developed to predict retention times for a series of alkanes based on thermodynamic data from approximately 75 compounds. Although not as accurate of predictions were obtained compared to the additive model these methods do show promise.;An additive model was constructed which was able to predict the retention times of a series of alcohols and ketones in both isothermal and temperature-programmed modes with an average error of less than 10 seconds in isothermal mode and 5 seconds in temperature-programmed mode.
机译:对从气相色谱保留数据确定热力学参数以用于预测模型的不同方法进行了研究。根据严格的评估,确定线性化的三参数模型最适合此应用。发现当载气从氦气变为氢气或氮气时,这些热力学参数会发生变化。这种影响不能归因于系统动力学。开发了定量结构保留关系,以根据来自约75种化合物的热力学数据预测一系列烷烃的保留时间。尽管与添加剂模型相比不能获得准确的预测结果,但这些方法确实显示出了希望。;构建了一个添加剂模型,该模型能够预测一系列醇和酮在等温和程序升温模式下的保留时间,并且等温模式下的平均误差小于10秒,而温度编程模式下的平均误差小于5秒。

著录项

  • 作者

    Karolat, Bryan.;

  • 作者单位

    University of Alberta (Canada).;

  • 授予单位 University of Alberta (Canada).;
  • 学科 Chemistry Analytical.
  • 学位 M.Sc.
  • 年度 2010
  • 页码 124 p.
  • 总页数 124
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 老年病学;
  • 关键词

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