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Improving self-supported nanowire arrays using response surface methodology for the synthesis of a H2O2 nanostructured sensor by Patricia G. López-Cárdenas; Emmanuel Alcalá; Juan Diego Sánchez-Torres; Elsie Araujo is a Materials Science article available to read on EtoBox.
What is Improving self-supported nanowire arrays using response surface methodology for the synthesis of a H2O2 nanostructured sensor about?
In this paper, we introduce a data-driven approach for optimizing the design of highly sensitive hydrogen peroxide (H2O2) sensors based on self-supported nickel nanowire (Ni NW) arrays using response surface methodology (RSM). Our goal is to enhance the performance of the sensor by customizing the length of Ni NW while optimizing the working conditions, including the H2O2 concentration and applied potential. Focusing solely on the commercially available porous membranes, we successfully employ RSM to identify the optimal conditions for the sensor: a NW length of 2.64 μm, an optimal concentration of 3.25 mM H2O2, and a detection potential of 0.02 V. We fabricate a sensor with the optimal NW length and validate its performance through comparison to sensors with different NW lengths, such as a planar Ni sensor and a previously investigated nanostructured sensor. Our optimized sensor achieves a 50% reduction in the limit of detection (LOD) and an 18% increase in sensitivity compared with the previously investigated nanostructured sensor. Moreover, the optimized sensor is at least 35 times more sensitive for H2O2 detection than sensors with planar geometries, which are standard in comme
Who reads Improving self-supported nanowire arrays using response surface methodology for the synthesis of a H2O2 nanostructured sensor?
It is typically read by researchers, students, and practitioners in Materials Science.
- Author
- Patricia G. López-Cárdenas; Emmanuel Alcalá; Juan Diego Sánchez-Torres; Elsie Araujo
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Materials Science (Physical Sciences)