Electrochemical Properties of Highly Sensitive and Selective CuO Nanostructures Based Neurotransmitter Dopamine Sensor. Issue 9 (8th June 2017)

• Record Type: Journal Article
• Authors: Yadav, Pankaj; Manivannan, Shanmugam; Kim, Hong‐Sik; Pandey, Kavita; Kim, Kyuwon; Kim, Joondong
• Is Part Of: Electroanalysis. Volume 29:Issue 9(2017)
• Page Start: 2106
• Page End: 2113
• Publication Date: 2017-06-08
• Subjects: Electrochemical properties -- CuO nanostructures -- Electrochemical Impedance Spectroscopy -- Cyclic voltammetry; Electrochemical analysis -- Periodicals; Chemistry, Analytical -- Periodicals; Electrochemistry -- Periodicals; 543.4
• DOI: 10.1002/elan.201700195
• Languages: English
• ISSNs: 1040-0397

Abstract

Abstract: In this article, electrochemical properties of CuO nanostructures based dopamine (DA) sensor was investigated. The morphology, structure, optical, and compositional properties of the CuO nanostructures were characterized by using SEM, XRD, UV‐Vis, and XPS techniques. The electrochemical properties were investigated using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) techniques. The CV results indicate that biosensors based on CuO nanostructures exhibit a high selectivity and sensitivity of 0.1975 μA μM –1 toward DA and effectively avoids the interference of ascorbic acid (AA) and uric acid (UA). The obtained EIS spectra for CuO sensors were analysed using an electrical equivalent circuit to understand the bulk and surface response via the capacitive and resistive parameters. The EIS measurement also leads to the direct determination of parameters like series resistance and ion diffusion phenomena at electrode‐electrolyte interface. The experimental CV and EIS results along with their analysis will have a significant impact on understanding the mechanism of high sensitivity and selectivity performance of CuO based sensors. This study may also lay the basis for efficient characterization of biosensors by coupling both the CV and EIS characterization techniques. Abstract :