Progress in quantum dot-based biosensors for microRNA assay: A review.

Biosensors Electrochemical Electrochemiluminescent Fluorescent Photoelectrochemical Quantum dots microRNAs

Journal

Analytica chimica acta
ISSN: 1873-4324
Titre abrégé: Anal Chim Acta
Pays: Netherlands
ID NLM: 0370534

Informations de publication

Date de publication:
16 Oct 2023
Historique:
received: 04 05 2023
revised: 15 06 2023
accepted: 11 07 2023
medline: 18 9 2023
pubmed: 15 9 2023
entrez: 14 9 2023
Statut: ppublish

Résumé

MicroRNAs (miRNAs) are responsible for post-transcriptional gene regulation, and may function as valuable biomarkers for diseases diagnosis. Accurate and sensitive analysis of miRNAs is in great demand. Quantum dots (QDs) are semiconductor nanomaterials with superior optoelectronic features, such as high quantum yield and brightness, broad absorption and narrow emission, long fluorescence lifetime, and good photostability. Herein, we give a comprehensive review about QD-based biosensors for miRNA assay. Different QD-based biosensors for miRNA assay are classified by the signal types including fluorescent, electrochemical, electrochemiluminescent, and photoelectrochemical outputs. We highlight the features, principles, and performances of the emerging miRNA biosensors, and emphasize the challenges and perspectives in this field.

Identifiants

pubmed: 37709484
pii: S0003-2670(23)00836-X
doi: 10.1016/j.aca.2023.341615
pii:
doi:

Substances chimiques

Coloring Agents 0
MicroRNAs 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

341615

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

Wen-Jing Liu (WJ)

School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China.

Li-Juan Wang (LJ)

School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China. Electronic address: wanglijuan@seu.edu.cn.

Chun-Yang Zhang (CY)

School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China. Electronic address: zhangcy@seu.edu.cn.

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Classifications MeSH