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Fabrication of Large-area Free-standing Ultrathin Polymer Films
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Convective Drying Kinetics of Polymer Strip Films Loaded with a BCS Class II Drug.

A T Naseri1, E Cetindag1, J Forte1

  • 1New Jersey Center for Engineered Particulates and Department of Chemical and Materials Engineering, New Jersey Institute of Technology, 138 Warren St, Newark, New Jersey, 07102, USA.

AAPS Pharmscitech
|January 6, 2019
PubMed
Summary

Drying polymer strip films for oral drug delivery is optimized using a new semi-empirical model. This model accurately predicts drying kinetics, aiding in process development for poorly water-soluble drugs.

Keywords:
dry coatingdrying kineticspolymer strip filmpoorly water-soluble drug

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Area of Science:

  • Pharmaceutical Technology
  • Materials Science
  • Chemical Engineering

Background:

  • Polymer strip films offer a promising oral delivery route for poorly water-soluble drugs.
  • Drying is a critical manufacturing step influencing polymer strip film quality attributes.

Purpose of the Study:

  • To investigate the convective drying kinetics of griseofulvin-loaded polymer strip films.
  • To develop and validate a semi-empirical model for predicting drying behavior under various conditions.

Main Methods:

  • Utilized a custom batch drying setup to dry polymer strip films.
  • Formulated a rate-based semi-empirical model and estimated parameters using an integral method with an ODE solver.
  • Analyzed the effects of air velocity, temperature, and initial film thickness on drying.

Main Results:

  • The three-parameter semi-empirical model accurately fitted experimental drying data across all conditions.
  • Identified distinct constant-rate and falling-rate periods in the drying mechanism.
  • Demonstrated the model's predictive capability by accurately forecasting drying kinetics for different initial wet film thicknesses.

Conclusions:

  • The developed semi-empirical model effectively describes the drying kinetics of polymer strip films.
  • The model shows potential for application in drying process development and real-time process control.
  • Further refinement of the model could enhance its utility in pharmaceutical manufacturing.