Reservoir-Style Polymeric Drug Delivery Systems: Empirical and Predictive Models for Implant Design

Controlled drug delivery systems can provide sustained release profiles, favorable pharmacokinetics, and improved patient adherence. Here, a reservoir-style implant comprising a biodegradable polymer, poly(ε-caprolactone) (PCL), was developed to deliver drugs subcutaneously. This work addresses a key challenge when designing these implantable drug delivery systems, namely the accurate prediction of drug release profiles when using different formulations or form factors of the implant. The ability to model and predict the release behavior of drugs from an implant based on their physicochemical properties enables rational design and optimization without extensive and laborious in vitro testing. By leveraging experimental observations, we propose a mathematical model that predicts the empirical parameters describing the drug diffusion and partitioning processes based on the physicochemical properties of the drug. We demonstrate that the model enables an adequate fit predicting empirical parameters close to experimental values for various drugs. The model was further used to predict the release performance of new drug formulations from the implant, which aligned with experimental results for implants exhibiting zero-order release kinetics. Thus, the proposed empirical models provide useful tools to inform the implant design to achieve a target release profile.

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UNC Libraries
Published
2025-04-08
DOI
https://doi.org/10.17615/98jg-7b11
Primary Topic
Innovative Microfluidic and Catalytic Techniques Innovation
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article
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article

Reservoir-Style Polymeric Drug Delivery Systems: Empirical and Predictive Models for Implant Design

Sai Archana Krovi, Daniela Cruz, Chanhwa Lee, Leah M. Johnson et al.
UNC Libraries
Innovative Microfluidic and Catalytic Techniques Innovation
article

Reservoir-Style Polymeric Drug Delivery Systems: Empirical and Predictive Models for Implant Design

Sai Archana Krovi, Daniela Cruz, Chanhwa Lee, Leah M. Johnson, Lingying Li, Michael G. Hudgens, Mackenzie Leigh Cottrell
article en

Abstract

Controlled drug delivery systems can provide sustained release profiles, favorable pharmacokinetics, and improved patient adherence. Here, a reservoir-style implant comprising a biodegradable polymer, poly(ε-caprolactone) (PCL), was developed to deliver drugs subcutaneously. This work addresses a key challenge when designing these implantable drug delivery systems, namely the accurate prediction of drug release profiles when using different formulations or form factors of the implant. The ability to model and predict the release behavior of drugs from an implant based on their physicochemical properties enables rational design and optimization without extensive and laborious in vitro testing. By leveraging experimental observations, we propose a mathematical model that predicts the empirical parameters describing the drug diffusion and partitioning processes based on the physicochemical properties of the drug. We demonstrate that the model enables an adequate fit predicting empirical parameters close to experimental values for various drugs. The model was further used to predict the release performance of new drug formulations from the implant, which aligned with experimental results for implants exhibiting zero-order release kinetics. Thus, the proposed empirical models provide useful tools to inform the implant design to achieve a target release profile.

UNC Libraries
University of North Carolina at Chapel Hill (US)
Openalex Percentile: Top 72%
Innovative Microfluidic and Catalytic Techniques Innovation
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Reservoir-Style Polymeric Drug Delivery Systems: Empirical and Predictive Models for Implant Design — Sai Archana Krovi, Daniela Cruz, et al. · UNC Libraries (2025) | TGRS Research Map | TGRS