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Tablet characteristics prediction by powder blending process analysis based on near infrared spectroscopy

机译:基于近红外光谱的粉末共混过程分析预测片剂特性

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摘要

Prediction of powder blend homogeneity and pharmaceutical characteristics such as powder flowability, mechanical strength and disintegration time of compressed solid dosages was carried out via on-line near infrared spectroscopy measurements. Blend homogeneity was evaluated in the pre-blending phase using both partial least-squares (PLS) and model-free regression methods. Covariance analysis between consecutive spectra was shown to represent a faithful monitoring of homogeneity as a model-free method, which coincided well with the results obtained from the PLS regression method. Similarly, during the post-blending phase with lubricant, pharmaceutical properties were accurately and precisely predicted using PLS regression models. These prediction models could be implemented in the determination of optimal blending time for a lubricant in view of improving flowability and of ensuring adequate mechanical strength and tablet disintegration time.
机译:粉末混合物均质性和药物特性(例如粉末流动性,机械强度和压缩固体剂量的崩解时间)的预测是通过在线近红外光谱测量进行的。在混合前阶段,使用偏最小二乘(PLS)和无模型回归方法评估了混合均匀性。结果表明,连续光谱之间的协方差分析代表了对均质性的忠实监控,这是一种无模型方法,与从PLS回归方法获得的结果非常吻合。同样,在润滑剂共混后阶段,使用PLS回归模型可以准确,准确地预测药物特性。考虑到改善流动性并确保足够的机械强度和片剂崩解时间,可以在确定润滑剂的最佳混合时间时实施这些预测模型。

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