Literature DB >> 30444110

Detection of Neurotransmitters by Three-Dimensional Laser-Scribed Graphene Grass Electrodes.

Guangyuan Xu1, Zahraa A Jarjes, Hsiang-Wei Wang, Anthony R J Phillips, Paul A Kilmartin, Jadranka Travas-Sejdic1.   

Abstract

Carbon nanomaterials possess superb properties and have contributed considerably to the advancement of integrated point-of-care chemical and biological sensing devices. Graphene has been widely researched as a signal transducing and sensing material. Here, a grass-like laser-scribed graphene (LSG) was synthesized by direct laser induction on common polyimide plastics. The resulting LSG grass was employed as a disposable electrochemical sensor for the detection of three neurotransmitters, dopamine (DA), epinephrine (EP), and norepinephrine (NE), and in the presence of uric acid and ascorbic acid as potential interferants, using differential pulse voltammetry and cyclic voltammetry. The LSG grass sensor achieved sensitivities of 0.243, 0.067, and 0.110 μA μM-1 for DA, EP, and NE, respectively, whereas the limits of detection were 0.43, 1.1, and 1.3 μM, respectively. The selectivity of LSG grass was excellent for competing biomarkers with high structural similarity (EP vs NE and EP vs DA). The exceptional performance of LSG grass for DA, EP, and NE detection holds a promising future for carbon nanomaterial sensors with unique surface morphologies.

Entities:  

Keywords:  ascorbic acid; dopamine; electrochemical sensor; epinephrine; laser scribed graphene grass; norepinephrine; uric acid

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Year:  2018        PMID: 30444110     DOI: 10.1021/acsami.8b16692

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  2 in total

Review 1.  Laser-induced graphene for bioelectronics and soft actuators.

Authors:  Yadong Xu; Qihui Fei; Margaret Page; Ganggang Zhao; Yun Ling; Dick Chen; Zheng Yan
Journal:  Nano Res       Date:  2021-04-07       Impact factor: 8.897

Review 2.  Laser-induced graphene (LIG)-driven medical sensors for health monitoring and diseases diagnosis.

Authors:  Jianlei Liu; Haijie Ji; Xiaoyan Lv; Chijia Zeng; Heming Li; Fugang Li; Bin Qu; Feiyun Cui; Qin Zhou
Journal:  Mikrochim Acta       Date:  2022-01-10       Impact factor: 5.833

  2 in total

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