Hadjmohammadi Mohammad Reza, Kamel Kamyar, Fatemi Mohammad Hosein
Department of Chemistry, University of Mazandaran, Babolsar, Iran.
J Sep Sci. 2007 Nov;30(16):2687-92. doi: 10.1002/jssc.200700095.
An optimization technique based on gradient elution was used to separate eleven chlorophenols by reversed phase liquid chromatography. The separation was based on gradient elution with a stepwise variation pattern of the volume fraction of organic modifier, phi, in the mobile phase. Initially, two-, three-, and four-parameter equations which describe the dependence of ln k' upon phi, were examined for their ability to fit the experimental data. It was found that, among these equations, the four-parameter equation gave the best fit of the experimental data. In addition to separation optimization, a non-linear least squares program with a grid search for initial estimates was used to determine the best variation pattern. The best variation pattern was obtained with phi(1)= 0.27, phi(2)= 0.39, phi(3)= 0.62, t(1) = 33 min, and t(2) = 11 min. This pattern allowed the chromatographic separation of the chlorophenols with a good resolution and a total analysis time of 51 min. Good agreement was observed between predicted and experimental values of the retention times under optimal condition.
采用基于梯度洗脱的优化技术,通过反相液相色谱法分离11种氯酚。分离基于梯度洗脱,流动相中有机改性剂的体积分数φ呈逐步变化模式。最初,研究了描述ln k'与φ关系的二参数、三参数和四参数方程对实验数据的拟合能力。结果发现,在这些方程中,四参数方程对实验数据的拟合效果最佳。除了分离优化外,还使用了带有初始估计网格搜索的非线性最小二乘法程序来确定最佳变化模式。最佳变化模式为φ(1)= 0.27,φ(2)= 0.39,φ(3)= 0.62,t(1) = 33分钟,t(2) = 11分钟。这种模式能够以良好的分辨率对氯酚进行色谱分离,总分析时间为51分钟。在最佳条件下,保留时间的预测值与实验值之间观察到良好的一致性。