Xu Liyuan, Li Liangxing, Huang Jindian, Yu Suna, Wang Jing, Li Ning
Guangdong Pharmaceutical University, Department of Pharmaceutics Analysis, School of Pharmacy, Guangzhou 510006, China.
Guangdong Pharmaceutical University, Department of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Guangzhou 510006, China.
J Pharm Biomed Anal. 2015 Jan;102:409-16. doi: 10.1016/j.jpba.2014.09.037. Epub 2014 Oct 8.
Four microemulsion liquid chromatography (MELC) systems and one micellar liquid chromatography (MLC) system have been evaluated as potential high-throughput screening platforms capable of modeling the partitioning behaviors of drug compounds in an n-octanol/water system and predicting their lipophilicity (i.e., log P values). The microemulsion mobile phases is consisted of sodium dodecyl sulfate (SDS), butanol, octane, heptanes, octanol and water. A linear solvation energy relationship (LSER)-based method was used to compare the MELC and MLC systems, as well as several other biochemical systems, and to identify the optimal system by comparing their Euclidean distances with the LSER coefficients. The most effective MELC system had a mobile phase consisting of 3.0% (w/w) SDS, 6.0% (w/w) butanol, 0.8% (w/w) octanol, and 90.2% (w/w) water (pH 6.4). The results showed that it gave superior results to the other chromatographic systems in terms of its ability to predict the log P values of drug compounds.
四种微乳液液相色谱(MELC)系统和一种胶束液相色谱(MLC)系统已被评估为潜在的高通量筛选平台,这些平台能够模拟药物化合物在正辛醇/水系统中的分配行为并预测其亲脂性(即log P值)。微乳液流动相由十二烷基硫酸钠(SDS)、丁醇、辛烷、庚烷、辛醇和水组成。一种基于线性溶剂化能关系(LSER)的方法被用于比较MELC和MLC系统以及其他几个生化系统,并通过比较它们与LSER系数的欧几里得距离来确定最佳系统。最有效的MELC系统的流动相由3.0%(w/w)SDS、6.0%(w/w)丁醇、0.8%(w/w)辛醇和90.2%(w/w)水(pH 6.4)组成。结果表明,就预测药物化合物log P值的能力而言,它比其他色谱系统给出了更优的结果。