Enhancing the substrate selectivity of enzyme mimetics in biosensing and bioassay: Novel approaches.

Artificial-enzyme mimetics DNAzymes Enhanced selectivity Molecularly-imprinted-polymer Nanozymes

Journal

Advances in colloid and interface science
ISSN: 1873-3727
Titre abrégé: Adv Colloid Interface Sci
Pays: Netherlands
ID NLM: 8706645

Informations de publication

Date de publication:
11 Jun 2024
Historique:
received: 11 01 2024
revised: 06 06 2024
accepted: 10 06 2024
medline: 26 6 2024
pubmed: 26 6 2024
entrez: 26 6 2024
Statut: aheadofprint

Résumé

A substantial development in nanoscale materials possessing catalytic activities comparable with natural enzymes has been accomplished. Their advantages were owing to the excellent sturdiness in an extreme environment, possibilities of their large-scale production resulting in higher profitability, and easy manipulation for modification. Despite these advantages, the main challenge for artificial enzyme mimetics is the lack of substrate selectivity where natural enzymes flourish. This review addresses this vital problem by introducing substrate selectivity strategies to three classes of artificial enzymes: molecularly imprinted polymers, nanozymes (NZs), and DNAzymes. These rationally designed strategies enhance the substrate selectivity and are discussed and exemplified throughout the review. Various functional mechanisms associated with applying enzyme mimetics in biosensing and bioassays are also given. Eventually, future directives toward enhancing the substrate selectivity of biomimetics and related challenges are discussed and evaluated based on their efficiency and convenience in biosensing and bioassays.

Identifiants

pubmed: 38924801
pii: S0001-8686(24)00156-8
doi: 10.1016/j.cis.2024.103233
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

103233

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

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

Amir M Ashrafi (AM)

Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Institute of Photonics and Electronics, Czech Academy of Sciences, Prague, Czech Republic. Electronic address: amirmansoor.ashrafi@mendelu.cz.

Atripan Mukherjee (A)

Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; ELI Beamlines Facility, The Extreme Light Infrastructure ERIC, Za Radnici 835, 252 41 Dolni Brezany, Czech Republic. Electronic address: atripan.mukherjee@eli-beams.eu.

Arezoo Saadati (A)

Central European Institute of Technology, Brno University of Technology, Purkynova 123, CZ-612 00 Brno, Czech Republic. Electronic address: saadati@vutbr.cz.

Frank-Michael Matysik (FM)

Institute of Analytical Chemistry, Chemo- and Biosensors, University Regensburg, 93053 Regensburg, Germany. Electronic address: Frank-Michael.Matysik@chemie.uni-regensburg.de.

Lukas Richtera (L)

Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic. Electronic address: lukas.richtera@mendelu.cz.

Vojtech Adam (V)

Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic. Electronic address: vojtech.adam@mendelu.cz.

Classifications MeSH