摘要
目的:建立米诺膦酸原料药的含量及其有关物质的检测方法。方法:采用高效液相色谱法,色谱柱为Diamonsil C18(250 mm×4.6 mm,5μm);流动相为0.01 mol·L-1的焦磷酸钠与0.001 mol·L-1四丁基溴化铵混合溶液(用磷酸调p H值至6.5):甲醇(95∶5);流速为1.0 m L·min-1;柱温为25℃;进样体积为20μL;有关物质检测波长为220 nm;含量测定检测波长为280 nm。结果:在该色谱条件下,米诺膦酸及其杂质能完全分离,在相应的浓度范围内,有关物质A和有关物质B线性关系良好,回收率在98.0%~102.0%之间(RSD<2.0%);3批样品有关物质总杂质测定结果分别为0.23%,0.24%,0.25%,含量测定结果分别为99.72%,99.45%,99.51%。结论:本方法专属性好、灵敏度高、准确性高,可用于米诺膦酸原料药的含量测定和有关物质的检测,为后续米诺膦酸制剂的质量控制提供了理论依据。
Objective: To establish a method for determination of the content and related substances of minodronic acid. Methods: HPLC method was adopted. Diamonsil C18 column( 250 mm × 4. 6 mm,5 μm) was used,and the mobile phase was composed of 0. 01 mol·L-1 sodium pyrophosphate solution and 0. 001 mol·L-1 tetrabutylammonium bromide solution( p H adjusted to 6. 5 by phosphoric acid)-methanol( 95∶ 5) at the flow rate of1. 0 m L·min^-1. The column temperature was 25 ℃,and the injection volume was 20 μL. The detection wavelength of related substances of minodronic acid was 220 nm and the content was 280 nm. Results: Minodronic acid and all the related compounds could be well separated. The calibration curves were linear in appropriate concentration ranges,and the recovery of the compounds were between 98. 0% ~ 102. 0%( RSD 2. 0%). The contents of total related substances of 3 batches of samples were 0. 23%,0. 24% and 0. 25%,respectively,and the contents of minodronic acid were 99. 72%,99. 45% and 99. 51%,respectively. Conclusion: The method is specific and accurate,which can be applied in the determination of the content and related substances of minodronic acid,and it can provide a theoretical basis for the following quality control research of minodronic acid products.
作者
宋伟杰
周玥莹
王立强
乔凤敏
刘珊
SONG Wei-jie;ZHOU Yue-ying;WANG Li-qiang;QIAO Feng-min;LIU Shan(No.2 Hospital of PLA,Harbin 150080,China;School of Biomedical Sciences,Huaqiao University,Quanzhou 362021,China;Fujian Pacific Pharmaceuticals Ltd.,Quanzhou 362021,China)
出处
《中国新药杂志》
CAS
CSCD
北大核心
2018年第16期1932-1938,共7页
Chinese Journal of New Drugs
基金
国家重点研发计划资助项目(2016YFE0101700)