Green Approach for the Synthesis of NiO Material and Their Non-Enzymatic Glucose Sensor-Based Applications at Low Potential

Abstract

ABSTRACTThe study presents a novel route towards the synthesis of NiO nanostructures by using various green amino acids. The nanostructures were obtained by hydrothermal methodology assisted by threonine, arginine, aspartic acid, leucine, isoleucine and serine respectively. The characterization of the synthesized materials was studied by different techniques such as XRD, SEM and TEM. The synthesized structural features were explored for their electro-chemical properties and used for fabrication of glucose sensors based on non-enzymatic functions. The developed sensors demonstrated a promising result in terms of sensitivity, selectivity, and stability. The most important finding in the present study is the oxidation of glucose at low potentials such as 0.125, 0.23, 0.093, 0.26, 0.037, and -0.02 V respectively for the isoleucine, leucine, serine, threonine, arginine, and aspartic acid assisted NiO nanostructures. This unique finding is attributed to the morphology of different nanostructures of NiO grown with the addition of green additives. The glucose sensing ability of glucose was not affected in presence of species such as uric acid, ascorbic acid, and other carbohydrates due to their close oxidation potential compared with glucose. The sensitivities of proposed non-enzymatic glucose sensors were found to be for the isoleucine, leucine, serine, threonine, arginine, and aspartic acid assisted NiO nanostructures as 4930, 3173, 2648, 1724, 1070, and 525 µA/mM/cm2 respectively. The maximum sensing capability was recorded for isoleucine structures which showed higher sensitivity of 4930 µA/mM/cm2, greater stability and excellent anti-interference capability compared to other nanostructures. The limit LOD and LOQ were also found and remain 0.01 (S/N = 3) and 1.9 µM individually, for the newly developed method for the sensor based on NiO grown with isoleucine amino acid. The potential application of isoleucine assisted NiO nanostructures composite material for the blood sample quantities analysis which further it demonstrates the feasibility of developed based for the non-enzymatic glucose sensor.