QbD Department, Integrated Product Development, Cipla Ltd., Maharashtra, Mumbai, India.
AAPS PharmSciTech. 2022 Aug 24;23(7):235. doi: 10.1208/s12249-022-02392-9.
Blending is a critical intermediate unit operation for all solid oral formulations. For blend uniformity testing, API content in the blend must be quantified precisely. A detailed study was conducted to demonstrate the suitability of inline NIR (near-infrared) spectroscopy for blend uniformity testing of two solid oral formulations: existing direct compression (DC) product with a multistep blending process and granulation-based product with API granules. Both qualitative and quantitative methods were developed at a laboratory scale using statistical moving block standard deviation (MBSD) and multivariate data analysis such as principal component analysis (PCA) and partial least squares (PLS) regression. The qualitative MBSD method demonstrated that there was no need for multiple steps for the existing DC product. Hence, a simplified single-step process was developed for blending. Quantitative PLS models for blending processes of both the products were developed, validated, and successfully implemented at a commercial scale for the real-time release of blends. Results obtained from the validated model were in good agreement with the current method of sampling and chromatography.
混合是所有固体制剂的关键中间单元操作。对于混合均匀度测试,必须精确量化 API 在混合物中的含量。进行了一项详细的研究,以证明在线近红外(NIR)光谱法适用于两种固体制剂的混合均匀度测试:具有多步混合工艺的现有直接压片(DC)产品和基于颗粒的含有 API 颗粒的产品。在实验室规模上,使用统计移动块标准偏差(MBSD)和多元数据分析(如主成分分析(PCA)和偏最小二乘(PLS)回归)开发了定性和定量方法。定性 MBSD 方法表明,现有 DC 产品不需要多步操作。因此,为混合开发了简化的单步工艺。为这两种产品的混合过程开发了定量 PLS 模型,并在商业规模上进行了验证和成功实施,以实时释放混合物。验证模型获得的结果与当前的取样和色谱法吻合良好。