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A highly sensitive and selective biosensor based on nitrogen-doped graphene for non-enzymatic detection of uric acid and dopamine at biological pH value

Title
A highly sensitive and selective biosensor based on nitrogen-doped graphene for non-enzymatic detection of uric acid and dopamine at biological pH value
Authors
Foroughi, FaranakRahsepar, MansourKim, Hasuck
Issue Date
2018-10
Citation
Journal of Electroanalytical Chemistry, 827, 34-41
Type
Article
Article Type
Article
Keywords
GrapheneN-dopingCyclic voltammetryDopamine biosensorUric acid biosensorMicrowave synthesisCyclic voltammetryDopamine biosensorGrapheneMicrowave synthesisN-dopingUric acid biosensorAminesBiosensorsChronoamperometryCyclic voltammetryDoping (additives)Graphite electrodesMicrowave irradiationNeurophysiologyNitrogenOrganic acidsX ray photoelectron spectroscopyLinear concentrationMicrowave synthesisN-DopingNitrogen doped grapheneNon-enzymatic detectionUltra-high-sensitivityUric acid biosensorsVoltammetry measurementsGraphene
ISSN
1572-6657
Abstract
Few layered graphene nanosheets were successfully doped with nitrogen through microwave irradiation and thoroughly characterized by using electron microscopy, Raman spectroscopy and X-ray photoelectron spectroscopy. The electrochemical efficiency of N-doped graphene toward enzyme-free detection of uric acid (UA) and dopamine (DA) at neutral pH (7.4) was studied by chronoamperometry and cyclic voltammetry measurements. At working potential of +0.3 V (vs. Ag/AgCl), N-doped graphene electrode revealed ultra-high sensitivity of 2.06 mA mM−1 cm−2 and low limit of detection (LOD) of 0.13 μM within a concentration range of 0 to 0.6 mM for UA detection. Also, at very higher potential of +1.8 V (vs. Ag/AgCl), N-doped graphene sensor exhibited a highly selective response toward DA with very low LOD of 4.5 nM and high sensitivity of 7.63 mA mM−1 cm−2 in a broad linear concentration range from 0.1 to 100 μM. Furthermore, the performance of UA and DA sensors in the real blood sample was satisfactory. © 2018
URI
http://hdl.handle.net/20.500.11750/9334
DOI
10.1016/j.jelechem.2018.09.008
Publisher
Elsevier B.V.
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