Pous-Torres S, Torres-Lapasió J R, Baeza-Baeza J J, García-Alvarez-Coque M C
Departament de Química Analítica, Universitat de València, c/Dr. Moliner 50, 46100 Burjassot, Spain.
J Chromatogr A. 2008 Jun 6;1193(1-2):117-28. doi: 10.1016/j.chroma.2008.04.019. Epub 2008 Apr 15.
A previously reported eight-parameter mechanistic model [Part I of this work, J. Chromatogr. A 1163 (2007) 49] was applied to optimise the separation of 11 ionisable compounds (nine diuretics and two beta-blockers), considering solvent content, temperature and pH as experimental factors. The data from 21 experiments, arranged in a central composite design, were used to model the retention. Local models were used to predict efficiency and peak asymmetry. The optimisation strategy, based on the use of peak purity as chromatographic objective function and derived concepts, was able to find the most suitable experimental conditions yielding full resolution in reasonable analysis times. It also allowed a detailed inspection of the separation capability of the studied factors, and of the consequences of the shifts in the protonation constants originated by changes in solvent content and temperature. The size of the resolution structures suggested that the ranked importance of the factors was pH, organic solvent and temperature, giving rise to relatively narrow domains of full resolution. The three factors were found, however, worthwhile in the optimisation of selectivity. Predicted optimal conditions corresponding to two different optimal resolution regions were verified experimentally. In spite of the difficulties associated to the use of pH as optimisation factor, satisfactory agreement was found in both cases.
应用先前报道的八参数机理模型[本工作的第一部分,《色谱杂志A》1163 (2007) 49]来优化11种可电离化合物(9种利尿剂和2种β受体阻滞剂)的分离,将溶剂含量、温度和pH作为实验因素。来自21个实验的数据采用中心复合设计进行排列,用于建立保留模型。使用局部模型预测柱效和峰不对称性。基于使用峰纯度作为色谱目标函数及衍生概念的优化策略,能够找到最合适的实验条件,在合理的分析时间内实现完全分离。它还允许详细考察所研究因素的分离能力,以及溶剂含量和温度变化引起的质子化常数变化的影响。分离度结构的大小表明,因素的重要性排序为pH、有机溶剂和温度,这导致完全分离的区域相对较窄。然而,发现这三个因素在选择性优化方面是有价值的。对应于两个不同最佳分离区域的预测最佳条件通过实验得到了验证。尽管将pH用作优化因素存在困难,但在两种情况下均发现了令人满意的一致性。