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NFC-enabled potentiostat and nitrocellulose-based metal electrodes for electrochemical lateral flow assay

  • Laura Gonzalez-Macia
  • , Yunpeng Li
  • , Kaijia Zhang
  • , Estefania Nunez-Bajo
  • , Giandrin Barandun
  • , Yasin Cotur
  • , Tarek Asfour
  • , Selin Olenik
  • , Philip Coatsworth
  • , Jack Herrington
  • , Firat Güder
  • Department of Bioengineering
  • Imperial College London

Research output: Contribution to journalArticlepeer-review

21   Link opens in a new tab Citations (SciVal)

Abstract

Rapid detection of pathogens at the point-of-need is crucial for preventing the spread of human, animal and plant diseases which can have devastating consequences both on the lives and livelihood of billions of people. Colorimetric, lateral flow assays consisting of a nitrocellulose membrane, are the preferred format today for low-cost on-site detection of pathogens. This assay format has, however, historically suffered from poor analytical performance and is not compatible with digital technologies. In this work, we report the development of a new class of digital diagnostics platform for precision point-of-need testing. This new versatile platform consists of two important innovations: i) A wireless and batteryless, microcontroller-based, low-cost Near Field Communication (NFC)-enabled potentiostat that brings high performance electroanalytical techniques (cyclic voltammetry, chronoamperometry, square wave voltammetry) to the field. The NFC-potentiostat can be operated with a mobile app by minimally trained users; ii) A new approach for producing nitrocellulose membranes with integrated electrodes that facilitate high performance electrochemical detection at the point-of-need. We produced an integrated system housed in a 3D-printed phone case and demonstrated its use for the detection of Maize Mosaic Virus (MMV), a plant pathogen, as a proof-of-concept application.

Original languageEnglish
Article number116124
Number of pages11
JournalBiosensors and Bioelectronics
Volume251
Early online date12 Feb 2024
DOIs
Publication statusPublished - 1 May 2024

Data Availability Statement

Data will be made available on request

Funding

The authors would like to thank the department of Bioengineering at Imperial College London. F.G. and L.G.-M. thank the Bill and Melinda Gates Foundation (Grand Challenges Explorations scheme under grant numbers OPP1212574 and INV-038695) and the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 101025390. F.G. and E.N.-B. would like to thank the Wellcome Trust (Grant No. 207687/Z/17/Z). Y. C. would like to thank the Turkish Ministry of Education, EPSRC IAA and Innovate UK (10027758). F.G., J.H. and P.C. thank the EPSRC (EP/L016702/1). S.O. acknowledges the Imperial President’s PhD Scholarships. F.G., J.H. and P.C. would like to acknowledge Imperial College Centre for Processable Electronics and the Centre for Doctoral Training in Plastic Electronics.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Digital diagnostics
  • Electrochemistry
  • Lateral flow assay
  • Near field communication-potentiostat
  • Plant viruses

ASJC Scopus subject areas

  • Biotechnology
  • Biophysics
  • Biomedical Engineering
  • Electrochemistry

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