modeling and optimization of characterization of nanostructure anodized aluminium oxide membranes

This study indicates the importance of statistical analysis and modeling to investigate the synthesis and optimization of anodized aluminium oxide (aao) properties for template-assisted synthesis of nanostructure particles. the response surface methodology was used to optimize pore size and porosity of aao. the impacts of four main parameters including type of acidic electrolyte, concentration of acid, bath temperature and electrical potential of anodization on characterization of aao were investigated. statistical analysis showed that the linear and quadratic terms of these variables had significant effects. based on the statistical analysis, a possible mechanism of the anodization was proposed. the proposed mechanism helped us to develop an analytical model. the analytical model could predict the experimental results with an appropriate accuracy. results indicated the rate-limiting reaction in anodization process is water dissociation which was conducted at the pore bottom of the aao. in addition, concentrated electrical field at pore base induced water splitting so that the activation energy of water dissociation decreased ten times and reached to $$9898.5~frac{{text{j}}}{{{text{mol}}}}$$ .