Åsberg Dennis, Leśko Marek, Samuelsson Jörgen, Karlsson Anders, Kaczmarski Krzysztof, Fornstedt Torgny
Department of Engineering and Chemical Sciences, Karlstad University, 651 88 Karlstad, Sweden.
Department of Chemical and Process Engineering, Rzeszów University of Technology, 35 959 Rzeszow, Poland.
Chromatographia. 2016;79(19):1283-1291. doi: 10.1007/s10337-016-3151-8. Epub 2016 Aug 12.
The adsorption of the proton-pump inhibitor omeprazole was investigated using RP-LC with chemometric models combined with adsorption isotherm modelling to study the effect of pH and type of organic modifier (i.e., acetonitrile or methanol). The chemometric approach revealed that omeprazole was tailing with methanol and fronting with acetonitrile along with increased fronting at higher pH. The increased fronting with higher pH for acetonitrile was explored using a pH-dependent adsorption isotherm model that was determined using the inverse method and it agreed well with the experimental data. The model indicated that the peaks exhibit more fronting at high pH due to a larger fraction of charged omeprazole molecules. This model could accurately predict the shape of elution profiles at arbitrary pH levels in the studied interval. Using a two-layer adsorption isotherm model, the difference between acetonitrile and methanol was studied at the lowest pH at which almost all omeprazole molecules are neutral. Omeprazole had adsorbate-adsorbate interactions that were similar in strength for the acetonitrile and methanol mobile phases, while the solute-adsorbent interactions were almost twice as strong with methanol. The difference in the relative strengths of these two interactions likely explains the different peak asymmetries (i.e., tailing/fronting) in methanol and acetonitrile. In conclusion, thermodynamic modelling can complement chemometric modeling in HPLC method development and increase the understanding of the separation.
采用反相液相色谱法(RP-LC)结合化学计量学模型以及吸附等温线模型,研究质子泵抑制剂奥美拉唑的吸附情况,以考察pH值和有机改性剂类型(即乙腈或甲醇)的影响。化学计量学方法表明,使用甲醇时奥美拉唑出现拖尾,使用乙腈时出现前沿峰,且在较高pH值下前沿峰增加。利用通过逆方法确定的pH依赖性吸附等温线模型,探究了乙腈在较高pH值下前沿峰增加的情况,该模型与实验数据吻合良好。该模型表明,由于带电荷的奥美拉唑分子比例较大,在高pH值下峰呈现出更多的前沿峰。该模型能够准确预测所研究区间内任意pH值水平下的洗脱曲线形状。使用双层吸附等温线模型,在几乎所有奥美拉唑分子均呈中性的最低pH值下,研究了乙腈和甲醇之间的差异。对于乙腈和甲醇流动相,奥美拉唑的吸附质-吸附质相互作用强度相似,而溶质-吸附剂相互作用在甲醇中几乎强两倍。这两种相互作用相对强度的差异可能解释了甲醇和乙腈中不同的峰不对称性(即拖尾/前沿峰)。总之,热力学建模可在高效液相色谱法方法开发中补充化学计量学建模,并增进对分离过程的理解。