Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), S. A. S. Nagar, Punjab, India.
J Sep Sci. 2017 Dec;40(23):4530-4540. doi: 10.1002/jssc.201700904. Epub 2017 Oct 30.
The degradation behavior of amodiaquine dihydrochloride, an antimalarial drug, was investigated in solution as well as solid states. The drug was subjected to hydrolytic, photolytic, oxidative, and thermal stress conditions, according to International Conference on Harmonization guideline Q1A(R2). It showed extensive hydrolysis in acidic, alkaline, and neutral solutions both with and without light, while it proved to be stable to thermal and oxidative conditions. In total, six degradation products were formed, which were separated on a C8 column, employing a gradient reversed-phase high-performance liquid chromatography method in which acetonitrile and 10 mM ammonium formate (pH 3.0) were used in the mobile phase. To characterize the degradation products, mass fragmentation behavior of the drug was established by direct infusion of solution to quadrupole time-of-flight and multiple-stage mass spectrometry systems. Liquid chromatography with high-resolution mass spectrometry studies were subsequently carried out on the stressed samples using the same gradient high-performance liquid chromatography method employed for the separation of the degradation products. Hydrogen/deuterium exchange studies were additionally conducted to determine the number of labile hydrogen atoms. The degradation pathway of the drug was delineated, justified by mechanistic explanation. Lastly, ADMET Predictor™ software was employed to predict relevant physicochemical and toxicity data for the degradation products.
盐酸氨酚喹啉作为一种抗疟药物,其降解行为无论是在溶液状态还是在固体状态下均被进行了研究。该药物根据国际协调会议指导原则 Q1A(R2) ,分别经受了水解、光解、氧化和热应力条件的作用。结果表明,无论有无光照,该药物在酸性、碱性和中性溶液中均会发生广泛的水解,而其对热和氧化条件则表现出稳定性。总共形成了六种降解产物,通过梯度反相高效液相色谱法,在 C8 柱上进行分离,其中流动相采用乙腈和 10 mM 甲酸铵(pH 3.0)。为了对降解产物进行特征描述,通过将溶液直接注入四极杆飞行时间和多级质谱系统,建立了药物的质谱碎裂行为。使用与分离降解产物相同的梯度高效液相色谱方法,对受应力的样品进行了高分辨质谱的液相色谱研究。此外,还进行了氘/氢交换研究,以确定不稳定氢原子的数量。药物的降解途径通过机理解释进行了推断。最后,采用 ADMET Predictor™ 软件对降解产物的相关物理化学和毒性数据进行了预测。