Visual detection of microRNAs using gold nanorod-based lateral flow nucleic acid biosensor and exonuclease III-assisted signal amplification.
Exo III
Gold nanorods
Lateral flow
MicroRNA
Portable strip reader
Visual detection
Journal
Mikrochimica acta
ISSN: 1436-5073
Titre abrégé: Mikrochim Acta
Pays: Austria
ID NLM: 7808782
Informations de publication
Date de publication:
27 Jul 2024
27 Jul 2024
Historique:
received:
04
04
2024
accepted:
08
07
2024
medline:
28
7
2024
pubmed:
28
7
2024
entrez:
27
7
2024
Statut:
epublish
Résumé
An ultrasensitive method for the visual detection of microRNAs (miRNAs) in cell lysates using a gold nanorod-based lateral flow nucleic acid biosensor (GN-LFNAB) and exonuclease III (Exo III)-assisted signal amplification. The Exo III-catalyzed target recycling strategy is employed to generate a large number of single-strand DNA products, which can be detected by GN-LFNAB visually. With the implementation of a unique recycling strategy, we have demonstrated that the miRNA in the concentration as low as 0.5 pM can be detected without the need for instrumentation, providing a detection limit that surpasses previous reports. The new biosensor is ultrasensitive and can be applied to the reliable monitoring of miRNAs in cell lysates with high accuracy. The approach offers a simple and rapid tool for cancer diagnosis and clinical biomedicine, thanks to its flexibility, simplicity, cost-effectiveness, and convenience. This new method has the potential to significantly improve the detection and monitoring of cancer biomarkers, ultimately contributing to more effective cancer diagnosis and treatment.
Identifiants
pubmed: 39066913
doi: 10.1007/s00604-024-06557-0
pii: 10.1007/s00604-024-06557-0
doi:
Substances chimiques
exodeoxyribonuclease III
EC 3.1.11.2
Exodeoxyribonucleases
EC 3.1.-
Gold
7440-57-5
MicroRNAs
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
491Subventions
Organisme : Key Technologies Research and Development Program
ID : 2022YFB3207200
Organisme : Linyi University
ID : Z6122047
Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.
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