School of Applied Sciences, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK.
Eur J Pharm Sci. 2013 Nov 20;50(3-4):335-40. doi: 10.1016/j.ejps.2013.08.002. Epub 2013 Aug 13.
This study evaluates the potential application of micellar liquid chromatography (MLC) to predict skin permeation with a series of model compounds. MLC has previously been found to be useful in the prediction of partition coefficient values (logP) for pharmaceutical compounds, yet has not been incorporated in skin permeability models prior to this work. This article provides statistically supported data that this technique enhances the ability to predict the permeability of similar drugs through the skin (K(p)). The replacement of a traditional physicochemical parameter, namely the octanol-water partition coefficient (logP(ow)) with a chromatographically determined value (logP(mw)), results in a quantitative partition-permeability relationship that is robust to variation. MLC offers many benefits compared with the traditional techniques employed to obtain logP values.
本研究评估了胶束液相色谱（MLC）在预测一系列模型化合物经皮渗透方面的潜在应用。MLC 先前已被证明在预测药物化合物的分配系数值（logP）方面有用，但在此项工作之前尚未纳入皮肤渗透性模型。本文提供了具有统计学支持的数据，表明该技术增强了预测类似药物经皮渗透（Kp）的能力。用色谱法测定的值（logP(mw)）替代传统的物理化学参数，即辛醇-水分配系数（logP(ow)），得到了一种定量的分配-渗透关系，对变化具有稳健性。与用于获得 logP 值的传统技术相比，MLC 具有许多优势。
