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Optimization of Initial Drug Distribution in Spherical Capsules for Personalized Release
Ankur Jain1, Kamesh Subbarao2, Sean McGinty3,4
1Mechanical and Aerospace Engineering Department, University of Texas at Arlington, 500 W First St, Rm 211, Arlington, TX, 76019, USA. jaina@uta.edu.
Pharmaceutical Research
|September 7, 2022
Summary
Optimizing drug delivery devices requires understanding initial drug distribution. Mathematical models can engineer multilayer capsules for customized drug release profiles, significantly improving uniformity.
Area of Science:
- Biomedical Engineering
- Materials Science
- Pharmacokinetics
Background:
- Customized drug delivery is crucial for patient care.
- Multilayer drug delivery devices offer potential for tailored release profiles.
- Mathematical optimization is needed to design these advanced devices.
Purpose of the Study:
- To determine the optimal initial drug distribution in spherical drug delivery devices.
- To achieve desired drug release profiles through precise engineering.
- To address the need for robust mathematical understanding in drug delivery design.
Main Methods:
- Formulating the problem as an inverse mass transfer problem.
- Solving the forward problem to guide optimization.
- Analyzing both erodible and non-erodible multilayer spheres.
- Investigating polynomial initial drug distributions and burst release profiles.
Main Results:
- Achieved over 60% reduction in root-mean-square deviation from ideal constant drug release.
- Optimized initial drug distribution minimized early-time burst release.
- Demonstrated potential for achieving more uniform overall drug release.
Conclusions:
- Careful engineering of drug distribution enables desired drug delivery profiles.
- Mathematical optimization combined with advanced manufacturing can create customized drug delivery devices.
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