Statistical Optimization of Chitosan Nanoparticles as Protein Vehicles, Using Response Surface Methodology

• Published in: Journal of applied biomaterials & functional materials Vol. 14; no. 4; pp. 413 - 422
• Main Authors: Kiaie, Nasim, Aghdam, Rouhollah M., Tafti, Seyed H.A., Emami, Shahriar H.
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.10.2016; Sage Publications Ltd
• Subjects: Animals; Bovine serum albumin; Cattle; Chitosan; Crosslinking; Design of experiments; Design optimization; Drug Carriers - chemistry; Drug Carriers - pharmacokinetics; Drugs, Chinese Herbal - chemistry; Drugs, Chinese Herbal - pharmacokinetics; Emission analysis; Field emission microscopy; Gelation; Mathematical models; Models, Chemical; Nanoparticles; Nanoparticles - chemistry; Polydispersity; Polyphosphates - chemistry; Polyphosphates - pharmacokinetics; Process parameters; Proteins; Response surface methodology; Scanning electron microscopy; Serum albumin; Serum Albumin, Bovine - chemistry; Serum Albumin, Bovine - pharmacokinetics; Tripolyphosphate; Zeta potential; Chitosan/TPP nanoparticles; Ionic gelation; Drug delivery; Experimental design
• ISSN: 2280-8000; 2280-8000
• DOI: 10.5301/jabfm.5000278

Background There has been increased attention given to polymeric nanoparticles as protein carriers. In this regard, chitosan/tripolyphosphate (TPP) nanoparticles are considered to be a simple and efficient carrier. However, to have an ideal protein release profile, we need to optimize the properties of the carrier. Methods This study examined the influence of 4 critical process parameters on the physicochemical characteristics of final nanoparticles. Chitosan-based nanoparticles were produced by ionic gelation, and then the size, polydispersity and zeta potential of those resulting nanoparticles were evaluated. Subsequently, the encapsulation efficiency of bovine serum albumin as model protein was investigated. Results The morphologies of nanoparticles were characterized using field emission scanning electron microscopy (FE-SEM). Linear mathematical models were presented for each response through 3 levels using Central Composite Design with the help of design of experiments software, and formulation optimization was performed. Conclusions Such research will serve as a basic study in protein loading into TPP cross-linked chitosan nanoparticles.