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

机译:使用数学方法学开发和优化生物金属纳米颗粒:微生物方法

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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 R-2 value was calculated to be 0.9992 indicating the accuracy and ability of the polynomial model.
机译:这项研究旨在通过数学方法,生物合成和优化从土壤中分离出的wassmanii青霉生产氧化铁纳米颗粒的过程。通过SEM(扫描电子显微镜),AFM(原子力显微镜),DLS(动态光散射),UV-可见光谱,zeta电位,多分散指数(PDI)确定了具有相当明确的尺寸和良好的单分散性的合成纳米颗粒和纳米粒子的相关图。通过Box-Behnken实验设计研究了pH,温度和FeCl3浓度等不同因素对粒径的影响。 R-2值经计算为0.9992,表示多项式模型的准确性和能力。

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