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

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

Journal

Biosensors & bioelectronics
ISSN: 1873-4235
Titre abrégé: Biosens Bioelectron
Pays: England
ID NLM: 9001289

Informations de publication

Date de publication:
12 Feb 2024
Historique:
received: 04 12 2023
revised: 16 01 2024
accepted: 10 02 2024
medline: 16 2 2024
pubmed: 16 2 2024
entrez: 15 2 2024
Statut: aheadofprint

Résumé

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.

Identifiants

pubmed: 38359669
pii: S0956-5663(24)00129-5
doi: 10.1016/j.bios.2024.116124
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116124

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Laura Gonzalez-Macia (L)

Department of Bioengineering, Imperial College London, SW7 2AZ, United Kingdom. Electronic address: m.gonzalez-macia@imperial.ac.uk.

Yunpeng Li (Y)

Department of Bioengineering, Imperial College London, SW7 2AZ, United Kingdom.

Kaijia Zhang (K)

Department of Bioengineering, Imperial College London, SW7 2AZ, United Kingdom.

Estefania Nunez-Bajo (E)

Department of Bioengineering, Imperial College London, SW7 2AZ, United Kingdom.

Giandrin Barandun (G)

Department of Bioengineering, Imperial College London, SW7 2AZ, United Kingdom.

Yasin Cotur (Y)

Department of Bioengineering, Imperial College London, SW7 2AZ, United Kingdom.

Tarek Asfour (T)

Department of Bioengineering, Imperial College London, SW7 2AZ, United Kingdom.

Selin Olenik (S)

Department of Bioengineering, Imperial College London, SW7 2AZ, United Kingdom.

Philip Coatsworth (P)

Department of Bioengineering, Imperial College London, SW7 2AZ, United Kingdom.

Jack Herrington (J)

Department of Bioengineering, Imperial College London, SW7 2AZ, United Kingdom.

Firat Güder (F)

Department of Bioengineering, Imperial College London, SW7 2AZ, United Kingdom. Electronic address: guder@ic.ac.uk.

Classifications MeSH