Development of feed factor prediction models for loss-in-weight powder feeders

In this paper, data-driven predictive models are proposed for pharmaceutical powders fed through a loss-in-weight (LiW) feeder. First, material-specific partial least squares (PLS) regression models are developed for each excipient, including Lactose Anhydrous, Magnesium Stearate, Croscarmellose Sodium, and Microcrystalline Cellulose. It is demonstrated that, using only feeder configuration data, these material-specific models can accurately...