Literature DB >> 33721849

One-dimensional nitrogen doped porous carbon nano-array arranged by carbon nanotubes for electrochemical sensing ascorbic acid, dopamine and uric acid simultaneously.

Fang-Hui Wu1, Mei-Juan Ren1, Miao Wang1, Wen-Bin Sun2, Kong-Lin Wu1, Yuan-Sheng Cheng1, Zhengquan Yan3.   

Abstract

In this work, one-dimensional nitrogen doped porous carbon nano-arrays arranged by carbon nanotube (1D CNTs@NPC) were first constructed, using a coating technology at room temperature and followed by high temperature carbonization. It was expected that the resulting glassy carbon electrodes modified by 1D CNTs@NPC (CNTs@NPC/GCE) could express different electrochemical responses to ascorbic acid (AA), dopamine (DA), uric acid (UA), by virtue of the synergistic-improved effect between CNTs and NPC. Under the optimized conditions, there were excellent analytical parameters for CNTs@NPC/GCE to detect AA, DA and UA, i.e. a wide linear range of 40-2100μM for AA, 0.5-49μM for DA and 3-50μM for AA with low detection limits of 0.36μM, 0.02μmol l-1and 0.57μM respectively. Importantly, the proposed CNTs@NPC/GCE was efficiently applied to determine AA, DA and UA in some real samples with high stability, reproducibility and selectivity. This work will offer an efficient potential for diagnosing ascorbic acid, dopamine or uric acid-related diseases on clinical testing in future.
© 2021 IOP Publishing Ltd.

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Keywords:  1D CNTs@NPC; ascorbic acid; dopamine; electrochemical sensing; uric acid

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Year:  2021        PMID: 33721849     DOI: 10.1088/1361-6528/abeeb4

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  1 in total

1.  Tailoring Diffusional Fields in Zwitterion/Dopamine Copolymer Electropolymerized at Carbon Nanowalls for Sensitive Recognition of Neurotransmitters.

Authors:  Adrian Olejnik; Mateusz Ficek; Marek Szkodo; Alicja Stanisławska; Jakub Karczewski; Jacek Ryl; Anna Dołęga; Katarzyna Siuzdak; Robert Bogdanowicz
Journal:  ACS Nano       Date:  2022-07-22       Impact factor: 18.027

  1 in total

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