A Smartphone-Interfaced, Flexible Electrochemical Biosensor Based on Graphene Ink for Selective Detection of Dopamine

This study reports the fabrication of flexible electrochemical dopamine sensors using a facile, low temperature (300°C) process based on spin-coating of commercially available graphene ink onto a polyimide (PI) substrate. The electrochemical testing and surface characterization were achieved using cyclic voltammetry (CV), X-ray photoelectron spectroscopy (XPS), and atomic force microscopy (AFM). The graphene-ink based biosensor demonstrated a limit of detection (LoD) of 100 nM of dopamine in PBS and a dynamic concentration range up to 1 mM, with excellent specificity against uric acid and ascorbic acid. The sensor is also resilient against mechanical deformation (< 12% change in peak currents during maximum bending). Furthermore, we demonstrated that a subsequent solution-phase treatment of graphene ink in copper sulfate (CuSO4) followed by annealing in air at 200°C improves the sensor LoD from $1~\mu \text{m}$ to 5 nM in artificial sweat. Wireless data transfer via Wi-Fi in tandem with an on-chip sensor integrated with an in-house built potentiostat is also developed to demonstrate the applicability of the platform for point-of-care applications.

© 2020 IEEE.  Personal use of this material is permitted.  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Files

Metadata

Work Title A Smartphone-Interfaced, Flexible Electrochemical Biosensor Based on Graphene Ink for Selective Detection of Dopamine
Access
Open Access
Creators
  1. Ritvik Muralidharan
  2. Vinay Chandrashekhar
  3. Derrick Butler
  4. Aida Ebrahimi
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. IEEE Sensors Journal
Publication Date June 26, 2020
Publisher Identifier (DOI)
  1. https://doi.org/10.1109/JSEN.2020.3005171
Deposited November 16, 2021

Versions

Analytics

Collections

This resource is currently not in any collection.

Work History

Version 1
published

  • Created
  • Added FINAL_VERSION.pdf
  • Added Creator Ritvik Muralidharan
  • Added Creator Vinay Chandrashekhar
  • Added Creator Derrick Butler
  • Added Creator Aida Ebrahimi
  • Published
  • Updated
  • Updated
  • Updated