A new model for predicting moisture uptake by packaged solid pharmaceuticals

Area of Science:

• Pharmaceutical Science
• Materials Science
• Chemical Engineering

Background:

• Moisture uptake significantly impacts the stability and shelf-life of solid pharmaceutical products.
• Accurate prediction of moisture ingress is crucial for effective packaging selection and product development.

Purpose of the Study:

• To develop and validate a novel mathematical model for predicting moisture uptake in packaged pharmaceutical products.
• To assess the performance of high-density polyethylene (HDPE) bottles as pharmaceutical packaging.

Main Methods:

• Determined bottle permeability at various temperatures using steady-state data.
• Characterized moisture sorption isotherms for drug products and desiccants at relevant temperatures.
• Integrated permeability and isotherm data into a mathematical model to predict internal humidity and component moisture content over time.

Main Results:

• The developed mathematical model accurately predicted moisture content of pharmaceutical products.
• Predicted moisture levels showed strong agreement with real-time stability data.
• The model effectively simulated the time-humidity profile within HDPE containers.

Conclusions:

• The novel mathematical model provides a reliable method for predicting moisture uptake in packaged pharmaceuticals.
• This predictive capability can guide packaging selection, optimize moisture protection, and reduce screening study costs and timelines.
• The model is a valuable tool for pharmaceutical manufacturers aiming to enhance product stability and streamline development.