Multivariate optimization method for designing an electrochemical selective nanostructured sensor in analysis of tyrosine

The present study reports simultaneous optimization of various parameters affecting in the oxidation peak current of tyrosine as a main amino acid in protein structures. All experimental variables containing chemical and instrumental parameters are simultaneously optimized. For achieving the purpose at first design of experiments (DoE) are considered before any experimental tests. Then, response surface methodology (RSM) is applied to find the optimized parameters. The electrochemical experiments for determination of tyrosine are accomplished at the surface of a nanostructured modified electrode. The electrode is fabricated using gold nanoparticles via a green approach. Voltammetric experiments are performed in the optimized conditions for determination of tyrosine using the nanostructured electrode. Analyzing of the data shows a linear dynamic range for tyrosine between 0.10-350.0 μM and the limit of detection is found to be 9.2 nM. Finally, the capability of the proposed modified sensor is confirmed using the detection of tyrosine in biological real samples.