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Composite Scaffolds of Interfacial Polyelectrolyte Fibers for Temporally Controlled Release of Biomolecules
Published on: August 19, 2015
Multivariate Statistical Optimization of a Modified Protocol of the Ionic Polyelectrolyte Pre-Gelation Method to
Ángela J Rodríguez-Talavera1,2, Sara Gálvez-Rodríguez1,2, Juan M Rodríguez-Díaz3
1Grupo de Investigación de Encapsulación y Evaluación Biológica Avanzada (ENCAPBIO-ULL Research Group), Departamento de Ingeniería Química y Tecnología Farmacéutica, Universidad de La Laguna, Avenida Astrofísico Francisco Sánchez, 38206 La Laguna (Santa Cruz de Tenerife), Spain.
Alginate-chitosan nanoparticles were produced using a novel pre-gelation method. This study optimized parameters like reagent concentration and flow rate to control particle size, charge, and encapsulation efficiency for drug delivery.
Area of Science:
- Biomaterials Science
- Nanotechnology
- Drug Delivery Systems
Background:
- Alginate (ALG) and chitosan (CS) are key biomaterials for forming ionically-crosslinked nanosystems and polyelectrolyte complexes.
- These materials are crucial in developing effective drug delivery systems due to their biocompatibility and mild processing conditions.
Purpose of the Study:
- To develop and optimize a modified ionic-polyelectrolyte-pre-gelation method for producing alginate-chitosan nanoparticles (NPs).
- To mathematically investigate the influence of process parameters on NP properties, including polydispersity, surface charge, and encapsulation efficiency.
- To establish optimal conditions for achieving desired NP characteristics for drug delivery applications.
Main Methods:
- A modified ionic-polyelectrolyte-pre-gelation method involving controlled reagent addition and sonication was employed.
- A two-phase-design-of-experiment (DOE) approach was utilized for mathematical modeling and optimization.
- Key parameters studied included concentrations of ALG, CS, and CaCl2, ALG:CS ratio, and CS flow rate.
Main Results:
- Concentrations of ALG, CS, CaCl2, ALG:CS ratio, and CS flow rate significantly impacted NP polydispersity (PDI) and encapsulation efficiency (EE%).
- Optimized conditions yielded a minimum PDI of 0.168 or a maximum EE% of 86.7%.
- Particle surface charge could be tuned from highly negative (-67.8 mV) to positive (+21.1 mV) by adjusting the ALG:CS mass ratio.
- NP size, ranging from 144.0 to 1965.0 nm, was primarily dependent on CS and CaCl2 concentrations.
Conclusions:
- The developed method allows for controlled production of alginate-chitosan nanoparticles with tunable properties.
- Mathematical modeling using DOE provides a robust framework for optimizing NP characteristics for specific drug delivery requirements.
- The ability to control particle size and surface charge broadens the potential applications of these NPs in advanced drug delivery systems.
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