OPTIMIZATION OF DOXORUBICIN-LOADED Γ-POLYGLUTAMIC ACID-CHITOSAN NANOPARTICLES
Frank Hellmers, Rainer Krull and Argyrios MargaritisAffiliation:
Institute of Biochemical Engineering, Technische UniversitätBraunschweig, Gaußstraße 17, 38106, Braunschweig, Germany.
AbstractThe purpose of this research was to characterize and optimize the production of chitosan (CS) and γ-polyglutamic acid (γ-PGA) nanoparticles generated through the polyelectrolyte complexation process for application as doxorubicin (DOX) delivery system. The characterization of thedrug carrierCS:γ-PGA nanoparticles revealed that polymer concentration and mass ratio, as well as solution pH are parameters that significantly influence the complex formation process. Increasing the CS and γ-PGA concentrations was shown to result in an increased particle size. CS:γ-PGA nanoparticles with particles sizes ranging from 215 to 693 nm at pH 6 were produced. Microscopy examination of the CS:γ-PGA nanoparticles showed a round to oval shape and narrow size distribution. A statistical method of experimental design, known as Response Surface Modeling, was applied in order to obtain the optimal production conditions for further medical application. The goal was to produce nanoparticles with the smallest size at the highest pH possible, optimization yielded DOX-loaded nanoparticles of 197.6 nm in size produced with initial concentrations of 0.25 mg/mL CS and 0.46 mg/mL DOX:γ-PGA, and a pH of 6.5.
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