Optimization of nickel oxide nanoparticle synthesis through the sol-gel method using Box-Behnken design

Abstract

In this study, nickel oxide nanoparticles were prepared using the sol-gel method. The process parameters were optimized to produce smaller size of nanoparticles such as molar ratio, solution pH and calcination temperatures. The Box-Behnken method was selected as the statistical prediction method with the aim of reducing the number of experimental runs which will directly save time and chemicals and thereby reducing the overall cost. The size of the nickel oxide particles was selected as the response of the synthesis process and was determined using X-ray diffraction. The optimum predicted conditions were obtained at a molar ratio of 1:1.74, solution pH of 1.02 and calcination temperature of 400.08 degrees C. The particle size from the optimized experimental conditions was found to be 14.31nm which was in good agreement with the predicted value of 13.74nm. These results were justified by the relatively high correlation coefficients (R2=0.9859 and R2<inf>adj</inf>=0.9677) of the statistical prediction.