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Development of liquid chromatographic method for the analysis of dabigatran etexilate mesilate and its ten impurities supported by quality-by-design methodology

化学 设计质量 乙腈 色谱法 关键质量属性 分析物 蒙特卡罗方法 梯度洗脱 杂质 洗脱 分析化学(期刊) 高效液相色谱法 统计 数学 粒径 有机化学 物理化学
作者
Jasmina Pantović,Anđelija Malenović,Ana Vemić,Nikola Kostić,Mirjana Medenica
出处
期刊:Journal of Pharmaceutical and Biomedical Analysis [Elsevier]
卷期号:111: 7-13 被引量:29
标识
DOI:10.1016/j.jpba.2015.03.009
摘要

In this paper, the development of reversed-phase liquid chromatographic method for the analysis of dabigatran etexilate mesilate and its ten impurities supported by quality by design (QbD) approach is presented. The defined analytical target profile (ATP) was the efficient baseline separation and the accurate determination of the investigated analytes. The selected critical quality attributes (CQAs) were the separation criterions between the critical peak pairs because the mixture complexity imposed a gradient elution mode. The critical process parameters (CPPs) studied in this research were acetonitrile content at the beginning of gradient program, acetonitrile content at the end of gradient program and the gradient time. Plan of experiments was defined by Box–Behnken design. The experimental domains of the three selected factors x1 – content of the acetonitrile at the start of linear gradient, x2 – content of the acetonitrile at the end of linear gradient and x3 – gradient time (tG) were [10%, 30%], [48%, 60%] and [8 min, 15 min], respectively. In order to define the design space (DS) as a zone where the desired quality criteria is met providing also the quality assurance, Monte Carlo simulations were performed. The uniform error distribution equal to the calculated standard error was added to the model coefficient estimates. Monte Carlo simulation included 5000 iterations in each of 3969 defined grid points and the region having the probability π ≥ 95% to achieve satisfactory values of all defined CQAs was computed. As a working point, following chromatographic conditions suited in the middle of the DS were chosen: 22% acetonitrile at the start of gradient program, 55.5% acetonitrile at the end of gradient program end and the gradient time of 11.5 min. The developed method was validated in order to prove its reliability.
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