Laser nanostructured gold biosensor for proto-oncogene detection.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
11 10 2023
Historique:
received: 06 07 2023
accepted: 07 10 2023
medline: 1 11 2023
pubmed: 12 10 2023
entrez: 11 10 2023
Statut: epublish

Résumé

The advancement of biosensor research has been a primary driving force in the continuing progress of modern medical science. While traditional nanofabrication methods have long been the foundation of biosensor research, recent years have seen a shift in the field of nanofabrication towards laser-based techniques. Here we report a gold-based biosensor, with a limit of detection (LoD) 3.18 µM, developed using environmentally friendly Laser Ablation Synthesis in Liquid (LASiS) and Confined Atmospheric Pulsed-laser (CAP) deposition techniques for the first time. The sensors were able detect a DNA fragment corresponding to the longest unpaired sequence of the c-Myc gene, indicating their potential for detecting such fragments in the ctDNA signature of various cancers. The LoD of the developed novel biosensor highlights its reliability and sensitivity as an analytical platform. The reproducibility of the sensor was examined via the production and testing of 200 sensors with the same fabrication methodology. This work offers a scalable, and green approach to fabricating viable biosensors capable of detecting clinically relevant oncogenic targets.

Identifiants

pubmed: 37821490
doi: 10.1038/s41598-023-44372-4
pii: 10.1038/s41598-023-44372-4
pmc: PMC10567688
doi:

Substances chimiques

Gold 7440-57-5

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

17196

Informations de copyright

© 2023. Springer Nature Limited.

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Auteurs

Cian Hughes (C)

I-Form, Advanced Manufacturing Research Centre, Advanced Processing Technology Research Centre, School of Mechanical and Manufacturing Engineering, Dublin City University, Glasnevin, Dublin-9, Ireland.

Sithara Sreenilayam (S)

I-Form, Advanced Manufacturing Research Centre, Advanced Processing Technology Research Centre, School of Mechanical and Manufacturing Engineering, Dublin City University, Glasnevin, Dublin-9, Ireland.

Dermot Brabazon (D)

I-Form, Advanced Manufacturing Research Centre, Advanced Processing Technology Research Centre, School of Mechanical and Manufacturing Engineering, Dublin City University, Glasnevin, Dublin-9, Ireland. dermot.brabazon@dcu.ie.

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Classifications MeSH