Numerical Mechanistic Modelling of Drug Release from Solvent-Removal Zein-Based In Situ Gel
Setthapong Senarat1, Pornsarp Pornsawad2, Nutdanai Lertsuphotvanit3
1Programme of Pharmaceutical Engineering, Faculty of Pharmacy, Silpakorn University, Nakhon Pathom 73000, Thailand.
Mathematical modeling and experiments show zein-based in situ forming gels (ISG) effectively deliver levofloxacin HCl. Higher zein concentrations controlled drug release rates for periodontal pockets.
Area of Science:
- Pharmaceutical Sciences
- Biomaterials Engineering
- Drug Delivery Systems
Background:
- Effective drug delivery systems are crucial for improved therapeutic outcomes.
- In situ forming gels (ISG) offer a promising approach for controlled drug release.
- Zein-based ISGs are being explored for localized drug delivery applications.
Purpose of the Study:
- To mathematically model and experimentally investigate levofloxacin HCl release from zein-based ISGs.
- To simulate drug release kinetics within a model periodontal pocket environment using the cup method.
- To understand the influence of formulation parameters and solvent properties on drug release.
Main Methods:
- Development and characterization of zein-based in situ forming gels (ISG) with varying zein concentrations.
- Experimental drug release studies using the cup method to mimic periodontal pockets.
- Numerical simulations of drug release employing forward and central difference formulas.
- UV-vis imaging to visualize matrix formation and solvent diffusion dynamics.
Main Results:
- Experimental drug release data closely matched numerical simulations for 20% w/w zein-based ISGs, achieving nearly complete release (100-105%).
- 25% w/w zein-based ISGs showed lower release (70-90%), indicating controlled release influenced by polymer matrix density.
- Glycerol formal as a solvent extended drug release compared to dimethyl sulfoxide due to denser matrices and reduced diffusion.
- UV-vis imaging provided insights into matrix formation kinetics and solvent diffusion, correlating with release profiles.
Conclusions:
- Zein-based ISGs demonstrate tunable drug release characteristics for levofloxacin HCl.
- Mathematical modeling accurately predicts drug release from these systems, aiding formulation design.
- The choice of solvent significantly impacts drug release duration and diffusion kinetics.
- This study provides a foundation for developing tailored zein-based ISG formulations for periodontal drug delivery.
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