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Improved Understanding of the High Shear Wet Granulation Process under the Paradigm of Quality by Design Using Salvia miltiorrhiza Granules

机译:通过使用丹参颗粒设计更好地理解质量范式下的高剪切湿法制粒工艺

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摘要

Background: High shear wet granulation (HSWG) is a shaping process for granulation that has been enhanced for application in the pharmaceutical industry. However, study of HSWG is complex and challenging due to the relatively poor understanding of HSWG, especially for sticky powder-like herbal extracts. Aim: In this study, we used granules to investigate the HSWG process across different scales using quality by design (QbD) approaches. Methods: A Plackett–Burman experimental design was used to screen nine granulation factors in the HSWG process. Moreover, a quadratic polynomial regression model was established based on a Box–Behnken experimental design to optimize the granulation factors. In addition, the scale-up of HSWG was implemented based on a nucleation regime map approach. Results: According to the Plackett–Burman experimental design, it was found that three granulation factors, including salvia ratio, binder amount, and chopper speed, significantly affected the granule size ( ) of in HSWG. Furthermore, the results of the Box–Behnken experimental design and validation experiment showed that the model successfully captured the quadratic polynomial relationship between granule size and the two granulation factors of salvia ratio and binder amount. At the same experiment points, granules at all scales had similar size distribution, surface morphology, and flow properties. Conclusions: These results demonstrated that rational design, screening, optimization, and scale-up of HSWG are feasible using QbD approaches. This study provides a better understanding of HSWG process under the paradigm of QbD using granules.
机译:背景技术:高剪切湿法制粒(HSWG)是一种用于制粒的成型工艺,已被增强用于制药行业。但是,由于对HSWG的理解相对较差,尤其是对于粘性粉末状草药提取物,HSWG的研究非常复杂且具有挑战性。目的:在这项研究中,我们使用颗粒剂通过质量设计(QbD)方法研究了不同规模的HSWG工艺。方法:采用Plackett-Burman实验设计,筛选了HSWG工艺中的9种造粒因子。此外,基于Box–Behnken实验设计建立了二次多项式回归模型,以优化造粒因子。此外,基于成核状态图方法实施了HSWG的放大。结果:根据Plackett-Burman实验设计,发现丹参比,粘合剂量和切碎机速度这三个造粒因素显着影响HSWG中的颗粒大小()。此外,Box-Behnken实验设计和验证实验的结果表明,该模型成功捕获了颗粒大小与丹参比率和结合剂含量这两个成粒因子之间的二次多项式关系。在相同的实验点上,所有规模的颗粒都具有相似的尺寸分布,表面形态和流动特性。结论:这些结果表明,使用QbD方法进行HSWG的合理设计,筛选,优化和放大是可行的。这项研究为使用颗粒的QbD模式下的HSWG过程提供了更好的理解。

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