Departament de Química Analítica, Universitat de València, c/Dr. Moliner 50, 46100 Burjassot, Spain.
J Chromatogr A. 2009 Dec 18;1216(51):8891-903. doi: 10.1016/j.chroma.2009.10.032. Epub 2009 Oct 20.
We previously reported a model able to predict the retention time of ionisable compounds as a function of the solvent content, temperature and pH [J. Chromatogr. A 1163 (2007) 49]. The model was applied further, developing an optimisation of the resolution based on the peak purity concept [J. Chromatogr. A 1193 (2008) 117]. However, we left aside an important issue: we did not consider incidental overlaps caused by shifts in the predicted peak positions, owing either to uncertainties in the source data, modelling errors, or the practical implementation in the chromatograph of the optimal mobile phase (or any other). These shifts can ruin the predicted separation, since they can easily amount several peak-width units at pH values close to the logarithm of the solutes' acid-base constants. A probabilistic optimisation is proposed here, which is able to evaluate the uncertainties associated with the model and the consequences when the optimal mobile phase is implemented in the chromatograph. This approach assumes peak fluctuations in replicated assays obtained through Monte Carlo simulations, which gives rise to a distribution of elementary peak purities. The results yielded by the conventional (i.e. non-robust), derivative-penalised, and probabilistic optimisations were compared, checking the predicted and experimental chromatograms at several critical experimental conditions. Among the three approaches, only the probabilistic one was able to appraise properly the practical difficulties of the separation problem.
我们之前曾报道过一种模型,它能够根据溶剂含量、温度和 pH 值预测可离子化化合物的保留时间[J. Chromatogr. A 1163 (2007) 49]。该模型进一步得到了应用,开发了一种基于峰纯度概念的分辨率优化方法[J. Chromatogr. A 1193 (2008) 117]。然而,我们忽略了一个重要的问题:我们没有考虑到由于预测峰位置的偏移而导致的偶然重叠,这些偏移可能是由于原始数据的不确定性、建模误差或在色谱仪中实现最佳流动相(或任何其他相)引起的。这些偏移可能会破坏预测的分离效果,因为它们在接近溶质酸碱常数对数的 pH 值附近,很容易达到几个峰宽单位。本文提出了一种概率优化方法,该方法能够评估与模型相关的不确定性,以及在色谱仪中实施最佳流动相时的后果。该方法假设通过蒙特卡罗模拟获得的重复测定中峰的波动,从而产生基本峰纯度的分布。比较了传统(即非稳健)、导数惩罚和概率优化的结果,检查了在几个关键实验条件下预测和实验的色谱图。在这三种方法中,只有概率优化方法能够正确评估分离问题的实际困难。