Alcalá, EmmanuelAraujo, ElsieLópez-Cárdenas, Patricia G.Sánchez-Torres, Juan D.2022-05-062022-05-062021-10-17P. G. López-Cárdenas, E. Alcalá, J. D. Sánchez-Torres and E. Araujo (2021). Improving self-supported nanowire arrays by response surface methodology. International Conference on Surfaces, Materials and Vacuum 2021.1665-3521https://hdl.handle.net/11117/7971Nanostructured sensors are a promising high-sensitive alternative for H2O2 detection. However, nanostructuring increases the number of variables influencing the sensor's behavior, which raises the problem of choosing the best combination of variables and their levels to increase the sensor's sensitivity. The Response Surface Methodology (RSM) is a principled approach that has proved to be efficient in terms of the necessary steps to find the best subset of variable levels while considering possible interaction between factor levels. Here we applied the RSM to optimize a Nickel (Ni) sensor response to H2O2 fabricated using electrodeposition in nanoporous membranes of Polycarbonate (PCTE). As design variables, we used the length of the nanowire, the measuring potential, and H2O2 concentrations. Our self-supported nanowire array sensor achieved better results compared to planar and other nanostructured sensors.engNanowire arraysResponse surface methodology (RSM)info:eu-repo/semantics/conferencePoster