Abstract

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.

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