Modelling and optimization of Ag-nanoparticle biosynthesis mediated by walnut green husk extract using response surface methodology

In biogenic synthesis of nanoparticles, plant extracts can be implemented as a source for electrons and stabilizers during chemical reduction of metallic ions in order to form nanoparticles. Experimental conditions of this procedure play vital roles in the synthesis rate of the product. Here, a response surface methodology was employed for the optimization of Ag-conjugated nanoparticles biosynthesis mediated by Persian walnut (Juglans regia) green husk extract. The individual and interactive effects of process variables (temperature, time, concentration and pH) on the production rate of the final product were monitored and the best second-order polynomial model with high coefficient of determination (R-2) value was constructed. Later, optimal reaction conditions for the maximum production rate were found at the reaction temperature of 51.27 degrees C, duration of 71.45 min, pH of 6.82 and concentration of 8%. These data can be employed in large scale production of nanoparticles mediated by walnut green husk extract. (C) 2016 Elsevier B.V. All rights reserved.