Literature DB >> 26789379

Highly sensitive and selective electrochemical dopamine sensing properties of multilayer graphene nanobelts.

Padmanathan Karthick Kannan1, Stanislav A Moshkalev, Chandra Sekhar Rout.   

Abstract

In the present study, we report the electrochemical sensing property of multi-layer graphene nanobelts (GNBs) towards dopamine (DA). GNBs are synthesized from natural graphite and characterized by using techniques like field-emission scanning electron microscopy, atomic force microscopy and Raman spectroscopy. An electrochemical sensor based on GNBs is developed for the detection of DA. From the cyclic voltammetry and amperometry studies, it is found that GNBs possess excellent electrocatalytic activity towards DA molecules. The developed DA sensor showed a sensitivity value of 0.95 μA μM(-1) cm(-2) with a linear range of 2 μM to 0.2 mM. The interference data exhibited that GNB is highly selective to DA even in the presence of common interfering species like ascorbic acid, uric acid, glucose and lactic acid.

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Year:  2016        PMID: 26789379     DOI: 10.1088/0957-4484/27/7/075504

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


  3 in total

1.  Electrochemically reduced graphene oxide and gold nanoparticles on an indium tin oxide electrode  for voltammetric sensing of dopamine.

Authors:  Xin Huang; Weishan Shi; Ning Bao; Chunmei Yu; Haiying Gu
Journal:  Mikrochim Acta       Date:  2019-04-29       Impact factor: 5.833

2.  A ruthenium(IV) disulfide based non-enzymatic sensor for selective and sensitive amperometric determination of dopamine.

Authors:  J Deepika; Rinky Sha; Sushmee Badhulika
Journal:  Mikrochim Acta       Date:  2019-06-27       Impact factor: 5.833

3.  Photophysical Properties of Multilayer Graphene-Quantum Dots Hybrid Structures.

Authors:  Ivan Reznik; Andrey Zlatov; Mikhail Baranov; Roman Zakoldaev; Andrey Veniaminov; Stanislav Moshkalev; Anna Orlova
Journal:  Nanomaterials (Basel)       Date:  2020-04-09       Impact factor: 5.076

  3 in total

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