Matlab Assisted Surface Morphologies of Pure and Doped Zno Using Image Processing and Photocatalytic Degradation

Abstract

Catalysts for petroleum processing, energy conversion, and pollution removal include nanoparticles. As contrasted to their bulk counterparts, their nanoscale size provides them with higher surface-to-volume ratios and chemical potentials, resulting in improved or unique catalytic characteristics.The catalytic capabilities of nanoparticles are therefore strongly influenced by their size. SEM image based morphological operations (dilation, opening, closing, boundary extraction and region filling) have been used. This study further exemplifies photocatalytic workings of pure and metal doped ZnO catalysts in aqueous methyl orange dye (MO) carried out under UV light as a support to the surface characteristics.Excellent photocatalytic activity was noted for metal doped ZnO results in uniform size and structural distribution of nanoparticles projecting that the incorporation significant outcomes of uniform surface and structural changes on the semiconductor matrix.