Pharmaceutical Research Division, Takeda Pharmaceutical Company Ltd., Yodogawa-ku, Osaka, Japan.
Int J Pharm. 2010 Oct 31;399(1-2):52-9. doi: 10.1016/j.ijpharm.2010.07.055. Epub 2010 Aug 7.
Cocrystal has attracted much attention in order to improve poor physicochemical properties, since cocrystal former crystallize with the ionic drugs as well as nonionic drugs. Cocrystal screening was usually conducted by crystallization, slurry and co-grinding techniques, however sensitivity, cost and time for screening were limited because of issues such as dissociation of cocrystal during crystallization and cost and time required for slurry and co-grinding methods. To overcome these issues, novel high-throughput cocrystal slurry screening was developed by using in situ Raman microscope and a multi-well plate. Cocrystal screening of indomethacin was conducted with 46 cocrystal formers and potential cocrystals were prepared on a large scale for the characterization with powder X-ray diffractometry, thermal analysis, and Raman microscopy and (1)H NMR spectroscopy. Compared with the characterization of scale-up cocrystals, the cocrystal screening indicated that indomethacin structured novel cocrystals with D/L-mandelic acid, nicotinamide, lactamide and benzamide which was not obtained in the screening with crystallization technique previously reported. In addition, the screening provided not only information of cocrystal formation within a day but also information of equilibrium of cocrystal formation and polymorphic transformation in one screening. Information obtained in this screening allows effective solid form selection by saving cost and time for the development.
为了改善离子药物和非离子药物较差的物理化学性质,共晶吸引了很多关注。共晶筛选通常通过结晶、浆体和共研磨技术进行,但由于结晶过程中共晶解离、浆体和共研磨方法所需的成本和时间等问题,其灵敏度、成本和时间受到限制。为了克服这些问题,开发了一种新型的高通量共晶浆体筛选方法,使用原位拉曼显微镜和多井板。采用 46 种共晶前体对吲哚美辛进行了共晶筛选,并对潜在的共晶进行了大规模制备,以粉末 X 射线衍射、热分析、拉曼显微镜和(1)H NMR 光谱进行表征。与大规模共晶的表征相比,共晶筛选表明,吲哚美辛与 D/L-扁桃酸、烟酰胺、内酰胺和苯甲酰胺形成了结构新颖的共晶,这是以前报道的结晶技术筛选中未获得的。此外,该筛选不仅提供了在一天内形成共晶的信息,还提供了在一次筛选中形成共晶的平衡和多晶型转变的信息。通过节省开发成本和时间,该筛选提供的信息允许有效选择固体形式。