Electrochemical biosensing with odorant binding proteins.


Journal

Methods in enzymology
ISSN: 1557-7988
Titre abrégé: Methods Enzymol
Pays: United States
ID NLM: 0212271

Informations de publication

Date de publication:
2020
Historique:
entrez: 24 8 2020
pubmed: 24 8 2020
medline: 24 6 2021
Statut: ppublish

Résumé

The development of sensors that mimic the natural smell sensing mechanism and selectively recognizes the odorants remains highly challenging. Electrochemical based sensing approaches aiming at monitoring molecular recognition events between surface receptors and analytes in solution or in the gas phase, are one possible transduction platforms among others for the construction of an artificial nose. The principle of electrochemical detection lies on the shift of the potential/current during the recognition event, which is proportional to the concentration of the analyte, in our case the odorant. A tremendous amount of efforts has been put into making electrochemical sensors sensitive and selective to the analyte of interest through the use of nanomaterials, development of different detection schemes and application of innovative receptor ligands for selective detection of the analyte. There have been significant advances in electrochemical based odorant sensing by using odorant binding proteins (OBP) as surface receptors, small soluble proteins present in nasal mucus at millimolar concentrations where the hydrophobic binding pocket gives the ability to reversibly bind odorant molecules. As OBPs are robust and easy to produce receptors, they are good candidates for the design of biosensors. In this chapter, we focus on the progress made on the detection of odorant molecules using OBPs as a bioreceptor and electrochemistry as a transduction method.

Identifiants

pubmed: 32828260
pii: S0076-6879(20)30210-X
doi: 10.1016/bs.mie.2020.04.071
pii:
doi:

Substances chimiques

Carrier Proteins 0
Receptors, Odorant 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

345-369

Informations de copyright

© 2020 Elsevier Inc. All rights reserved.

Auteurs

Sabine Szunerits (S)

University of Lille, CNRS, Centrale Lille, Université Polytechnique Hauts-de-France, UMR 8520-IEMN, Lille, France. Electronic address: sabine.szunerits@univ-lille.fr.

Rabah Boukherroub (R)

University of Lille, CNRS, Centrale Lille, Université Polytechnique Hauts-de-France, UMR 8520-IEMN, Lille, France.

Alina Vasilescu (A)

International Centre of Biodynamics, Bucharest, Romania.

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Classifications MeSH