Laboratory of Physical Chemistry, Department of Chemistry, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
Analyst. 2013 Jul 7;138(13):3771-7. doi: 10.1039/c3an36425a.
An approach for retention modeling of double pH/organic solvent gradient data easily generated by automatically mixing two mobile phases with different pH and organic content according to a linear pump program is proposed. This approach is based on retention models arising from the evaluation of the retention data of a set of 17 OPA derivatives of amino acids obtained in 27 combined pH/organic solvent gradient runs performed between fixed initial pH/organic modifier values but different final ones and for different gradient duration. The derived general model is a ninth parameter equation easily manageable through a linear least-squares fitting but it requires eighteen initial pH/organic modifier gradient experiments for a satisfactory retention prediction in various double gradients of the same kind with those used in the fitting procedure. Two simplified versions of the general model, which were parameterized based on six only initial pH/organic modifier gradients, were also proposed, when one of the final double gradient conditions, pH or organic content was kept constant. The full and the simplified models allowed us to predict the experimental retention data in simultaneous pH/organic solvent double gradient mode very satisfactorily without the solution of the fundamental equation of gradient elution.
提出了一种根据线性泵程序自动混合两种具有不同 pH 值和有机含量的流动相来轻松生成双 pH/有机溶剂梯度数据的保留建模方法。该方法基于从根据固定初始 pH/有机改性剂值但不同最终值和不同梯度持续时间进行的 27 次组合 pH/有机溶剂梯度运行中获得的一组 17 种 OPA 氨基酸衍生物的保留数据评估得出的保留模型。导出的通用模型是一个具有九个参数的方程,可通过线性最小二乘法拟合轻松处理,但需要十八个初始 pH/有机改性剂梯度实验,才能在与拟合过程中使用的相同类型的各种双梯度中进行令人满意的保留预测。当最终双梯度条件之一(pH 值或有机含量)保持恒定时,还提出了通用模型的两个简化版本,它们基于仅六个初始 pH/有机改性剂梯度进行参数化。全模型和简化模型允许我们在无需求解梯度洗脱基本方程的情况下,非常满意地预测同时 pH/有机溶剂双重梯度模式下的实验保留数据。