Electrochemical Sensor Based on An electrode Modified With porous Graphitic Carbon Nitride Nanosheets (CN) embedded in Graphene Oxide for Simultaneous Determination of Ascorbic Acid, Dopamine and Uric Acid
Overview
Chemistry
Affiliations
Two-dimensional porous graphitic carbon nitride (g-CN) nanosheets were synthesized by low-cost and direct thermal oxidation. Porous g-CN assembled with graphene oxide (GO) was immobilized on a glassy carbon electrode. The sensor was applied to simultaneous determination of ascorbic acid (AA), dopamine (DA) and uric acid (UA) with high performance. Cyclic voltammetry and differential pulse voltammetry were used to investigate electrochemical and electrocatalytic properties. The results indicate that the electrochemical sensor possesses high specific surface area, hierarchical pore structure and excellent signal response to AA, DA and UA. The oxidation potentials are well separated at around 0.15, 0.34 and 0.46 V for AA, DA and UA respectively. The determination limits for AA, DA and UA are 3.7 μM, 0.07 μM and 0.43 μM, respectively. The sensor was applied to tracking the three analytes in spiked serum samples with recovery 95.1~105.5% and relation standard deviations of less than 5%. Graphical abstract Schematic representation of porous graphitic carbon nitride nanosheet embedded in graphene oxide for simultaneous determination of ascorbic acid, dopamine and uric acid.
Kizhepat S, Rasal A, Chang J, Wu H Nanomaterials (Basel). 2023; 13(9).
PMID: 37177065 PMC: 10180329. DOI: 10.3390/nano13091520.
Alebachew N, Murthy H, Gonfa B, von Eschwege K, Langner E, Coetsee E ACS Omega. 2023; 8(15):13775-13790.
PMID: 37091396 PMC: 10116625. DOI: 10.1021/acsomega.2c08174.
Karastogianni S, Diamantidou D, Girousi S Biosensors (Basel). 2021; 11(9).
PMID: 34562884 PMC: 8465974. DOI: 10.3390/bios11090294.
Prasert K, Sutthibutpong T Sensors (Basel). 2021; 21(8).
PMID: 33920002 PMC: 8071017. DOI: 10.3390/s21082773.
Idris A, Oseghe E, Msagati T, Kuvarega A, Feleni U, Mamba B Sensors (Basel). 2020; 20(20).
PMID: 33050361 PMC: 7600177. DOI: 10.3390/s20205743.