Multivariate Optimization for Synthesis of Zinc Ferrite Nanostructures and Investigation of Their Electrocatalytic Properties in Detection of Tyrosine

Chemometrics science is effectively used for solving experimental problems and describing of experimental results in different fields using statistics and mathematics. Such applications of the method can be referred to solving the problems about optimization of the experimental methods. In the present research, ultrasonic irradiations was used for synthesis of zinc ferrite nanostructures. Also, starch as a green material was applied to reduce using of chemicals. Other novelty of the present study was application of the multivariate optimization method instead one-at-a-time usual methods. For achieving the purpose, at first the nanostructures were synthesized based on Box-Behnken design. Then, the results of X-ray diffraction were used as experimental responses for optimization of effective parameters on the synthesis of the nanostructures using response surface methodology. Finally, the optimized nanostructures were applied for investigation of electrocatalytic properties in tyrosine detection. The results showed the zinc ferrite nanostructures that were synthesized in the optimum conditions contain appropriate potential for trace analysis of tyrosine in complicated real samples.