a Institute of Pharmaceutical Technology and Regulatory Affairs, University of Szeged , Szeged , Hungary.
b Department of Pharmaceutical Technology and Biopharmacy , Iuliu Hatieganu University of Medicine and Pharmacy , Cluj-Napoca , Romania.
Drug Dev Ind Pharm. 2018 Oct;44(10):1622-1630. doi: 10.1080/03639045.2018.1483388. Epub 2018 Jul 2.
Design of Experiment (DoE), that is a tool of Quality by Design (QbD) paradigm, with which experiments can be planned more effectively and provide more information, while after Design Space (DS) can be set up, which assure the quality of the desired product. The aim of this study was to find the optimal drug-excipient ratio and the optimal process parameters (milling time, milling speed) of our previously used dry co-milling method and validate the DS.
Lamotrigine (LAM), an antiepileptic drug was used as a model API. Poly-vinyl alcohol (PVA) was chosen according to our previous study as a hydrophylic matrix polymer. Milling time, speed, and the API:additive ratio was varied to find out their effect on the product. The optimization was performed on particle size of LAM, its standard deviation and the in vitro dissolution of the samples. Response surface modeling completed the statistical analysis that assessed the effects of independent variables on the responses.
Due to the DS estimation, a more economical sample preparation method was set up. Finally, the sample that was prepared according to the optimized parameters (1.5 h, 400 rpm, 0.8 PVA:LAM ratio) showed around 100 nm drug particles and 97% drug release in five minutes.
From the DS generated by the software, an optimal formulation was obtained and the results validated the experimental design. The QbD approach was a useful and effective tool of understanding the parameters that affect the quality of the desired product.
实验设计(DoE)是质量源于设计(QbD)范式的一种工具,通过它可以更有效地规划实验并提供更多信息,并且在设置设计空间(DS)之后,可以保证所需产品的质量。本研究的目的是找到我们之前使用的干法共研磨方法的最佳药物-赋形剂比例和最佳工艺参数(研磨时间、研磨速度),并验证 DS。
作为模型 API,使用抗癫痫药物拉莫三嗪(LAM)。根据我们之前的研究,选择聚乙烯醇(PVA)作为亲水性基质聚合物。改变研磨时间、速度和 API:添加剂比例,以找出它们对产品的影响。优化的参数是 LAM 的粒径、标准偏差和样品的体外溶出度。响应面建模完成了评估独立变量对响应的影响的统计分析。
由于 DS 的估计,建立了一种更经济的样品制备方法。最后,根据优化参数(1.5 h、400 rpm、0.8 PVA:LAM 比)制备的样品显示出约 100nm 的药物颗粒和 97%的药物在五分钟内释放。
从软件生成的 DS 中获得了最佳配方,结果验证了实验设计。QbD 方法是一种有用且有效的工具,可以帮助理解影响所需产品质量的参数。