Development and Optimization of Biometal Nanoparticles by Using Mathematical Methodology: A Microbial Approach

Abstract:

This study aimed to biosynthesize and optimize the process of iron oxide nanoparticles producing by Penicillium waksmanii isolated from soil by employing mathematical methodology. The synthesized nanoparticles were formed with fairly well-defined dimensions with good monodispersity determined by SEM (Scanning Electron Microscopy), AFM (Atomic Force Microscopy), DLS (Dynamic Light Scattering), UV-Visible spectroscopy, zeta potential, polydispersity index (PDI) and correlogram of nanoparticles. The effects of different factors such as pH, temperature and concentration of FeCl₃ on the particle size were investigated by Box-Behnken experimental design. The R² value was calculated to be 0.9992 indicating the accuracy and ability of the polynomial model.

• Periodical: Journal of Nano Research (Volume 30)
• Pages: 106-115
• DOI: https://doi.org/10.4028/www.scientific.net/JNanoR.30.106
• Online since: March 2015
• Authors: Soheila Honary, Hamed Barabadi*, Pouneh Ebrahimi, Farzaneh Naghibi, Ahad Alizadeh
• Keywords: Green Synthesis, Iron Oxide Nanoparticles, Mathematical Methodology, Optimization, Penicillium waksmanii, Statistical Experimental Design

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