Polyazine nanoparticles as anchors of PQQ glucose dehydrogenase for its most efficient bioelectrocatalysis.

Direct bioelectrocatalysis Drop-casting Enzyme orientation Non-invasive diabetes monitoring Polyazine

Journal

Talanta
ISSN: 1873-3573
Titre abrégé: Talanta
Pays: Netherlands
ID NLM: 2984816R

Informations de publication

Date de publication:
15 Jan 2024
Historique:
received: 31 07 2023
revised: 12 09 2023
accepted: 15 09 2023
medline: 9 11 2023
pubmed: 22 9 2023
entrez: 21 9 2023
Statut: ppublish

Résumé

We report on the drop-cast production of glucose biosensors based on the most efficient bioelectrocatalysis by pyrroloquinoline quinone dependent glucose dehydrogenase (PQQ GDH). To orient the enzyme upon immobilization we suggest using poly(Methylene Green) (p(MG)) nanoparticles acting as anchors. Synthesis of polymeric anchors has been carried out in course of Methylene Green electropolymerization, which allowed to tune polymer-to-monomer ratio in the drop-cast mixtures varying the monomer concentration and applying different number of potential sweep cycles. Except for elimination of electrochemical step for the electrode modification, opening the prospects for mass-production, the use of drop-cast enzyme anchors provides advantageous characteristics of the resulting biosensors. Catalytic current of PQQ GDH immobilized over p(MG) nanoparticles obtained in optimal conditions is increased only 2-2.5 times after addition of the freely diffusing mediator. Obviously, the lowest ratio of mediated-to-reagentless current points to the most efficient bioelectrocatalysis. The obtained ratio is 2.5 times lower than that for biosensors based on electropolymerized p(MG) films and practically an order of magnitude lower than that for the best reagentless sensors based on PQQ GDH immobilized over conductive nanomaterials. The achieved most efficient bioelectrocatalysis provides high sensitivity of the elaborated biosensors even at 0.0 V potential, which allows to operate them in power generation mode and control relative sweat glucose variation as a tool for non-invasive diabetes monitoring.

Identifiants

pubmed: 37734286
pii: S0039-9140(23)00970-0
doi: 10.1016/j.talanta.2023.125219
pii:
doi:

Substances chimiques

Glucose 1-Dehydrogenase EC 1.1.1.47
methylene green F1IO2ZP7BU
Enzymes, Immobilized 0
Glucose IY9XDZ35W2
PQQ Cofactor 72909-34-3
Polymers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

125219

Informations de copyright

Copyright © 2023 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

Maria A Komkova (MA)

Chemistry Faculty of M.V. Lomonosov Moscow State University, Leninskie Gory, 1/3, Moscow, 119991, Russia. Electronic address: komkovama@my.msu.ru.

Anna S Alexandrovich (AS)

Materials Science Faculty of M.V. Lomonosov Moscow State University, Leninskie Gory, 1/73, Moscow, 119991, Russia.

Arkady A Karyakin (AA)

Chemistry Faculty of M.V. Lomonosov Moscow State University, Leninskie Gory, 1/3, Moscow, 119991, Russia.

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