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Effects of granulation process variables on the physical properties of dosage forms by combination of experimental design and principal component analysis

机译:实验设计和主成分分析相结合对制粒工艺变量对剂型物理性质的影响

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摘要

The current study was to understand how process variables of high shear wet granulations affect physical properties of granules and tablets. The knowledge gained was intended to be used for Quality-by-Design based process design and optimization. The variables were selected based on the risk assessment as impeller speed, liquid addition rate, and wet massing time. Formulation compositions were kept constant to minimize their influence on granules properties. Multiple linear regression models were built providing understanding of the impact of each variable on granule hardness, Carr's index, tablet tensile strength, surface mean diameter of granules, and compression behavior. The experimental results showed that the impact of impeller speed was more dominant compared to wet massing time and water addition rate. The results also revealed that quality of granules and tablets could be optimized by adjusting specific process variables (impeller speed 1193 rpm, water spray rate 3.7 ml/min, and wet massing time 2.84 min). Overall desirability was 0.84 suggesting that the response values were closer to the target one. The SEM image of granules showed that spherical and smooth granules produced at higher impeller speed, whereas rough and irregular shape granules at lower speed. Moreover, multivariate data analysis demonstrated that impeller speed and massing time had strong correlation with the granule and tablet properties. In overall, the combined experimental design and principal component analysis approach allowed to better understand the correlation between process variables and granules and tablet attributes.
机译:当前的研究是为了了解高剪切湿法制粒的工艺变量如何影响颗粒和片剂的物理性能。所获得的知识旨在用于基于设计质量的过程设计和优化。基于风险评估来选择变量,例如叶轮速度,液体添加速率和湿质量时间。制剂组合物保持恒定以最小化它们对颗粒性质的影响。建立了多个线性回归模型,以了解每个变量对颗粒硬度,卡尔指数,片剂抗张强度,颗粒表面平均直径和压缩行为的影响。实验结果表明,叶轮转速的影响比湿式集料时间和加水速度更为明显。结果还表明,可以通过调整特定的工艺变量(叶轮速度1193 rpm,喷水速度3.7 ml / min和湿法制粒时间2.84 min)来优化颗粒和片剂的质量。总体期望值为0.84,表明响应值更接近目标值。颗粒的SEM图像表明,球形和光滑的颗粒在较高的叶轮速度下产生,而粗糙和不规则形状的颗粒在较低的速度下产生。此外,多变量数据分析表明,叶轮速度和质量时间与颗粒和片剂的性质有很强的相关性。总体而言,结合实验设计和主成分分析方法可以更好地了解过程变量与颗粒和片剂属性之间的相关性。

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