Paper-based electrochemical peptide nucleic acid (PNA) biosensor for detection of miRNA-492: a pancreatic ductal adenocarcinoma biomarker.
Pancreatic ductal adenocarcinoma
Ruthenium (III) hexamine
Screen-printing
Serum
Wax-printing.
Journal
Biosensors & bioelectronics
ISSN: 1873-4235
Titre abrégé: Biosens Bioelectron
Pays: England
ID NLM: 9001289
Informations de publication
Date de publication:
01 Oct 2020
01 Oct 2020
Historique:
received:
26
03
2020
revised:
28
05
2020
accepted:
06
06
2020
pubmed:
31
7
2020
medline:
15
5
2021
entrez:
31
7
2020
Statut:
ppublish
Résumé
Pancreatic ductal adenocarcinoma is the predominant neoplastic disease of the pancreas and it represents the fourth most frequent cause of death in cancer-related disease, with only 8% of survivors after 5-year to the diagnosis. The main issues of this type of cancer rely on fast progress (i.e. 14 months from T1 to a T4 stage), nonspecific symptoms with delay in diagnosis, and the absence of effective screening strategies. To address the lack of early diagnosis, we report a cost-effective paper-based biosensor for the detection of miRNA-492, which is recognised as a biomarker for pancreatic ductal adenocarcinoma. To design a miniaturised, sensitive, and robust paper-based platform, an electrochemical sensor was screen-printed on office paper previously wax-patterned via wax-printing technique. The paper-based sensor was then engineered with a novel and highly specific peptide nucleic acid (PNA) as the recognition element. The formation of PNA/miRNA-492 adduct was evaluated by monitoring the interaction between the positively charged ruthenium (III) hexamine with uncharged PNA and/or negatively charged PNA/miRNA-492 duplex by differential pulse voltammetry. The paper-based biosensor provided a linear range up to 100 nM, with a LOD of 6 nM. Excellent selectivity towards one- and two-base mismatches (1MM, 2MM) or scrambled (SCR) sequences was highlighted and the applicability for biomedical analyses was demonstrated, measuring miRNA-492 in undiluted serum samples.
Identifiants
pubmed: 32729503
pii: S0956-5663(20)30365-1
doi: 10.1016/j.bios.2020.112371
pii:
doi:
Substances chimiques
Biomarkers
0
MicroRNAs
0
Peptide Nucleic Acids
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
112371Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.