Kurmi Moolchand, Kumar Sanjay, Singh Bhupinder, Singh Saranjit
Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Sector 67, S.A.S. Nagar, 160062 Punjab, India.
Division of Pharmaceutics, University Institute of Pharmaceutical Sciences, Panjab University, Chandigarh 160014, India.
J Pharm Biomed Anal. 2014 Aug 5;96:135-43. doi: 10.1016/j.jpba.2014.03.035. Epub 2014 Mar 31.
The study involved optimization of forced degradation conditions and development of a stability-indicating method (SIM) for furosemide employing the design of experiment (DoE) concept. The optimization of forced degradation conditions, especially hydrolytic and oxidative, was done by application of 2(n) full factorial designs, which helped to obtain the targeted 20-30% drug degradation and also enriched levels of degradation products (DPs). For the selective separation of the drug and its DPs for the development of SIM, DoE was applied in three different stages, i.e., primary parameter selection, secondary parameter screening and method optimization. For these three, IV-optimal, Taguchi orthogonal array and face-centred central composite designs were employed, respectively. The organic modifier, buffer pH, gradient time and initial hold time were selected as primary parameters. Initial and final organic modifier percentage, and flow rate came out as critical parameters during secondary parameter screening, which were further evaluated during method optimization. Based on DoE results, an optimized method was obtained wherein a total of twelve DPs were separated successfully. The study also exposed the degradation behaviour of the drug in different forced degradation conditions.
该研究涉及呋塞米强制降解条件的优化以及采用实验设计(DoE)概念开发一种稳定性指示方法(SIM)。通过应用2(n)全因子设计对强制降解条件进行优化,特别是水解和氧化条件,这有助于实现目标20 - 30%的药物降解,并提高降解产物(DPs)的水平。为了在开发SIM时对药物及其DPs进行选择性分离,DoE应用于三个不同阶段,即主要参数选择、次要参数筛选和方法优化。对于这三个阶段,分别采用了IV - 最优设计、田口正交阵列设计和中心复合设计。有机改性剂、缓冲液pH值、梯度时间和初始保留时间被选为主要参数。初始和最终有机改性剂百分比以及流速在次要参数筛选过程中成为关键参数,并在方法优化过程中进一步评估。基于DoE结果,获得了一种优化方法,其中总共成功分离出了12种DPs。该研究还揭示了药物在不同强制降解条件下的降解行为。