Department of Chemistry, University of Alberta, Edmonton, Alberta, T6G2G2, Canada.
Department of Chemistry, University of Alberta, Edmonton, Alberta, T6G2G2, Canada; Department of Medicinal Chemistry, School of Pharmacy, Guilan University of Medical Sciences, Rasht, Iran.
J Chromatogr A. 2014 Jan 17;1325:204-12. doi: 10.1016/j.chroma.2013.12.008. Epub 2013 Dec 17.
A new method for estimating the thermodynamic parameters of ΔH(T0), ΔS(T0), and ΔCP for use in thermodynamic modeling of GC×GC separations has been developed. The method is an alternative to the traditional isothermal separations required to fit a three-parameter thermodynamic model to retention data. Herein, a non-linear optimization technique is used to estimate the parameters from a series of temperature-programmed separations using the Nelder-Mead simplex algorithm. With this method, the time required to obtain estimates of thermodynamic parameters a series of analytes is significantly reduced. This new method allows for precise predictions of retention time with the average error being only 0.2s for 1D separations. Predictions for GC×GC separations were also in agreement with experimental measurements; having an average relative error of 0.37% for (1)tr and 2.1% for (2)tr.
一种新的方法用于估算ΔH(T0)、ΔS(T0)和ΔCP 的热力学参数,用于 GC×GC 分离的热力学建模。该方法替代了传统的等温分离,需要拟合三参数热力学模型到保留数据。在这里,使用非线性优化技术,使用 Nelder-Mead 单纯形算法,从一系列程序升温分离中估计参数。使用这种方法,获得一系列分析物的热力学参数估计所需的时间大大减少。这种新方法允许对保留时间进行精确预测,一维分离的平均误差仅为 0.2s。GC×GC 分离的预测也与实验测量结果一致;对于 (1)tr,平均相对误差为 0.37%,对于 (2)tr,平均相对误差为 2.1%。