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Dataset Information

Process Monitoring of Moisture Content and Mass Transfer Rate in a Fluidised Bed with a Low Cost Inline MEMS NIR Sensor.


ABSTRACT:

Purpose

The current trend for continuous drug product manufacturing requires new, affordable process analytical techniques (PAT) to ensure control of processing. This work evaluates whether property models based on spectral data from recent Fabry-Pérot Interferometer based NIR sensors can generate a high-resolution moisture signal suitable for process control.

Methods

Spectral data and offline moisture content were recorded for 14 fluid bed dryer batches of pharmaceutical granules. A PLS moisture model was constructed resulting in a high resolution moisture signal, used to demonstrate (i) endpoint determination and (ii) evaluation of mass transfer performance.

Results

The sensors appear robust with respect to vibration and ambient temperature changes, and the accuracy

SUBMITTER: Avila CR 

PROVIDER: S-EPMC7174278 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature