Design and Optimization of Solid Lipid Nanoparticles Loaded with Triamcinolone Acetonide

Principles of quality by design and design of experiments are acquiring more importance in the discovery and application of new drug carriers, such as solid lipid nanoparticles. In this work, an optimized synthesis of solid lipid nanoparticles loaded with Triamcinolone Acetonide is presented using an approach that involves Stearic Acid as a lipid, soy PC as an ionic surfactant, and Tween 80 as a nonionic surfactant. The constructed circumscribed Central Composite Design considers the lipid and nonionic surfactant quantities and the sonication amplitude in order to optimize particle size and Zeta potential, both measured by means of Dynamic Light Scattering, while the separation of unentrapped drug from the optimized Triamcinolone Acetonide-loaded solid lipid nanoparticles formulation is performed by Size Exclusion Chromatography and, subsequently, the encapsulation efficiency is determined by HPLC-DAD. The proposed optimized formulation-with the goal of maximizing Zeta potential and minimizing particle size-has shown good accordance with predicted values of Zeta potential and dimensions, as well as a high value of encapsulated Triamcinolone Acetonide. Experimental values obtained from the optimized synthesis reports a dimension of 683 & PLUSMN; 5 nm, which differs by 3% from the predicted value, and a Zeta potential of -38.0 & PLUSMN; 7.6 mV (12% difference from the predicted value).

Automated summary

Principles of quality by design and design of experiments are important in the discovery and application of new drug carriers. This study presents an optimized synthesis of solid lipid nanoparticles loaded with Triamcinolone Acetonide using Stearic Acid, soy PC, and Tween 80. The design considers lipid and nonionic surfactant quantities and sonication amplitude to optimize particle size and Zeta potential. Experimental results show good accordance with predicted values, with a small difference in size and Zeta potential from the predicted values.