Graphene-based field-effect transistors for biosensing: where is the field heading to?

Bioreceptors Field-effect transistor Graphene Sensing

Journal

Analytical and bioanalytical chemistry
ISSN: 1618-2650
Titre abrégé: Anal Bioanal Chem
Pays: Germany
ID NLM: 101134327

Informations de publication

Date de publication:
Apr 2024
Historique:
received: 19 04 2023
accepted: 16 05 2023
revised: 13 05 2023
pubmed: 3 6 2023
medline: 3 6 2023
entrez: 3 6 2023
Statut: ppublish

Résumé

Two-dimensional (2D) materials hold great promise for future applications, notably their use as biosensing channels in the field-effect transistor (FET) configuration. On the road to implementing one of the most widely used 2D materials, graphene, in FETs for biosensing, key issues such as operation conditions, sensitivity, selectivity, reportability, and economic viability have to be considered and addressed correctly. As the detection of bioreceptor-analyte binding events using a graphene-based FET (gFET) biosensor transducer is due to either graphene doping and/or electrostatic gating effects with resulting modulation of the electrical transistor characteristics, the gFET configuration as well as the surface ligands to be used have an important influence on the sensor performance. While the use of back-gating still grabs attention among the sensor community, top-gated and liquid-gated versions have started to dominate this area. The latest efforts on gFET designs for the sensing of nucleic acids, proteins and virus particles in different biofluids are presented herewith, highlighting the strategies presently engaged around gFET design and choosing the right bioreceptor for relevant biomarkers.

Identifiants

pubmed: 37269306
doi: 10.1007/s00216-023-04760-1
pii: 10.1007/s00216-023-04760-1
pmc: PMC10239049
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

2137-2150

Subventions

Organisme : Agence Nationale de la Recherche
ID : PADISC
Organisme : EuroNanoMed III
ID : GSkin

Informations de copyright

© 2023. Springer-Verlag GmbH Germany, part of Springer Nature.

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Auteurs

Sabine Szunerits (S)

Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520 - IEMN, 59000, Lille, France. sabine.szunerits@univ-lille.fr.
Laboratory for Life Sciences and Technology (LiST), Faculty of Medicine and Dentistry, Danube Private University, 3500, Krems, Austria. sabine.szunerits@univ-lille.fr.

Teresa Rodrigues (T)

Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520 - IEMN, 59000, Lille, France.
Laboratory for Life Sciences and Technology (LiST), Faculty of Medicine and Dentistry, Danube Private University, 3500, Krems, Austria.

Rupali Bagale (R)

Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520 - IEMN, 59000, Lille, France.

Henri Happy (H)

Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520 - IEMN, 59000, Lille, France.

Rabah Boukherroub (R)

Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520 - IEMN, 59000, Lille, France.

Wolfgang Knoll (W)

Laboratory for Life Sciences and Technology (LiST), Faculty of Medicine and Dentistry, Danube Private University, 3500, Krems, Austria.

Classifications MeSH