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Microwave-assisted Functionalization of Polyethylene glycol and On-resin Peptides for Use in Chain Polymerizations and Hydrogel Formation

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Modeling drug release through stimuli responsive polymer hydrogels.

Aditya Pareek¹, Shantanu Maheshwari¹, Sivakumar Cherlo¹

¹TCS Research, Tata Consultancy Services Ltd., Tata Research Development and Design Centre, 54-B, Hadapsar Industrial Estate, Pune 411013, India.

International Journal of Pharmaceutics

|September 9, 2017

Summary

This study introduces a mathematical model for stimuli-responsive hydrogels, enabling controlled drug delivery. The model simulates hydrogel swelling and drug release kinetics, reducing experimental needs.

Keywords:

Controlled drug delivery Deformation Mathematical modeling Polymer hydrogels Release kinetics pH sensitive

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Area of Science:

Biomaterials Science
Polymer Chemistry
Drug Delivery Systems

Background:

Stimuli-responsive hydrogels are gaining interest for controlled and self-regulated drug delivery.
Their ability to swell/de-swell under varying pH conditions makes them suitable for drug delivery applications.
A mechanistic understanding is crucial for controlling drug release from polymer hydrogels.

Purpose of the Study:

To develop a mathematical model for simulating stimuli-responsive hydrogel behavior.
To couple Nernst-Planck, Poisson, and force balance equations for predicting swelling and drug release.
To validate the model with experimental data and evaluate formulation parameters.

Main Methods:

Coupling Nernst-Planck, Poisson, and force balance equations.
Incorporating diffusion of ionic species and drug, and hydrogel deformation under osmotic pressure.
Simulating swelling behavior and drug release kinetics.

Main Results:

The mathematical model successfully simulates hydrogel swelling and drug release kinetics.
Model validation was performed using experimental data for poly(hydroxyethyl methacrylate-co-methacrylic acid) (pHEMA-co-MA) gels and Phenylpropanolamine release.
The effect of polymer and cross-linker concentrations on hydrogel performance was evaluated.

Conclusions:

The developed mathematical model provides a mechanistic understanding of stimuli-responsive hydrogels.
This model can optimize drug delivery system design by reducing the number of required experiments.
It offers a predictive tool for controlling drug release from hydrogel systems.