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首页> 外文期刊>Journal of Pharmaceutical and Biomedical Analysis: An International Journal on All Drug-Related Topics in Pharmaceutical, Biomedical and Clinical Analysis >Implementation of design of experiments for optimization of forced degradation conditions and development of a stability-indicating method for furosemide
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Implementation of design of experiments for optimization of forced degradation conditions and development of a stability-indicating method for furosemide

机译:优化强制降解条件的实验设计的实现以及呋塞米稳定性指示方法的发展

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摘要

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" 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.
机译:该研究涉及优化强迫降解条件和采用实验设计(DoE)概念开发呋塞米的稳定性指示方法(SIM)。强制降解条件(尤其是水解和氧化)的优化是通过应用2“全因子设计完成的,这有助于获得目标20-30%的药物降解以及丰富的降解产物(DP)水平。用于选择性分离在开发SIM的药物及其DP的过程中,DoE被应用于三个主要阶段,即主要参数选择,次要参数筛选和方法优化;对于这三个IV最佳,田口正交阵列和面心中央复合体选择有机改性剂,缓冲液pH,梯度时间和初始保持时间作为主要参数,在二级参数筛选过程中将初始和最终有机改性剂的百分率和流速作为关键参数,并在评估过程中进行进一步评估。方法优化:基于DoE结果,获得了一种优化方法,其中成功分离了总共十二个DP。不好该研究还揭示了该药物在不同强制降解条件下的降解行为。

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