4.8 Article

3D fuzzy graphene microelectrode array for dopamine sensing at sub-cellular spatial resolution

Journal

BIOSENSORS & BIOELECTRONICS
Volume 191, Issue -, Pages -

Publisher

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2021.113440

Keywords

3D graphene; Microelectrode arrays (MEAs); Dopamine; Fast scan cyclic voltammetry; Electrochemical sensing

Funding

  1. National Institutes of Health [R01NS062019, R01NS089688, R01NS110564, R21DA043817, R21 DA049592]
  2. National Science Foundation [1926756, CBET1552833]
  3. Defense Advanced Research Projects Agency [AWD00001593 (416,0525)]
  4. Div Of Electrical, Commun & Cyber Sys
  5. Directorate For Engineering [1926756] Funding Source: National Science Foundation

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The newly developed three-dimensional fuzzy graphene microelectrode arrays show high sensitivity and stability for dopamine detection, enabling multi-site detection in the brain and potentially improving treatments and understanding of neurological disorders.
The development of a high sensitivity real-time sensor for multi-site detection of dopamine (DA) with high spatial and temporal resolution is of fundamental importance to study the complex spatial and temporal pattern of DA dynamics in the brain, thus improving the understanding and treatments of neurological and neuropsychiatric disorders. In response to this need, here we present high surface area out-of-plane grown threedimensional (3D) fuzzy graphene (3DFG) microelectrode arrays (MEAs) for highly selective, sensitive, and stable DA electrochemical sensing. 3DFG microelectrodes present a remarkable sensitivity to DA (2.12 +/- 0.05 nA/ nM, with LOD of 364.44 +/- 8.65 pM), the highest reported for nanocarbon MEAs using Fast Scan Cyclic Voltammetry (FSCV). The high surface area of 3DFG allows for miniaturization of electrode down to 2 x 2 mu m2, without compromising the electrochemical performance. Moreover, 3DFG MEAs are electrochemically stable under 7.2 million scans of continuous FSCV cycling, present exceptional selectivity over the most common interferents in vitro with minimum fouling by electrochemical byproducts and can discriminate DA and serotonin (5-HT) in response to the injection of their 50:50 mixture. These results highlight the potential of 3DFG MEAs as a promising platform for FSCV based multi-site detection of DA with high sensitivity, selectivity, and spatial resolution.

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