Study On Predicting Oral Drug Absorption Base Of Biopartitioning Micellar Chromatography

Due to the complicate compositions of traditional Chinese medicines, It is difficult to confirm which is active ingredient among all of the single-ingredients before animal experiments. In order to speed up the screening of active ingredients. We can predict whether these components will permeate through biological membrane or not in vitro experiments preliminarily, and then estimate their oral absorption in vivio.In this paper, nineteen kinds of active ingredients were researched by biopartitioning micellar chromatography (BMC) and parallel artificial membrane (PAMPA). The good correlation between BMC and PAMPA was established by software with the data of apparent permeability coefficients and retention values. It achieved satisfactory result. The datas of the experiments were contributed to the research of active ingredients of Chinese medicines, it has feasibility and the instruction significance in the field of studying on traditional Chinese medicines.BMC is also a simple, accurate and reliable analytical method. So, it can perform the basic function of chromatographic separation well. Finally, In this study, BMC was applied to simultaneously quantitative analysis of five active ingredients including three nucleosides (uridine, guanosine and adenosine) and two nucleobases (uracil and adenine) in Bailing capsule, three active ingredients including geniposide, andrographolide and dehy-droanddrographolide in Qing huo zhi mai tablet, icariin in Qian lie shu le tablet. Good linearity, precision, repeatability, stability and accuracy were presented in the method validation procedures which were firstly established. The proposed methods were promising to improve the quality control of three Chinese patent drugs.