A Simple Sandwich Electrochemical Immunosensor for Rapid Detection of the Alzheimer's Disease Biomarker Tau Protein.


Journal

Biosensors
ISSN: 2079-6374
Titre abrégé: Biosensors (Basel)
Pays: Switzerland
ID NLM: 101609191

Informations de publication

Date de publication:
29 May 2024
Historique:
received: 16 04 2024
revised: 24 05 2024
accepted: 27 05 2024
medline: 26 6 2024
pubmed: 26 6 2024
entrez: 26 6 2024
Statut: epublish

Résumé

As a typical biomarker of Alzheimer's disease, rapid and specific detection of tau protein can help improve the early diagnosis and prognosis of the disease. In this study, a simple sandwich electrochemical immunosensor was developed for rapid detection of tau protein. Primary monoclonal antibodies (mAb1) against the middle domain of tau protein (amino acids 189-195) were immobilized on the gold electrode surface through a self-assembled monolayer (SAM) of 3,3'-dithiobis (sulfosuccinimidyl propionate) (DTSSP). Then the tau protein was captured through the specific adsorption between the antigen and the antibody, resulting in a change in the impedance. Secondary monoclonal antibodies (mAb2) against the N-terminal region of tau protein were used for further amplification of the binding reaction between mAb1 and tau protein. A linear correlation between the total change in impedance and the logarithm of tau concentration was found from 2 × 10

Identifiants

pubmed: 38920583
pii: bios14060279
doi: 10.3390/bios14060279
pii:
doi:

Substances chimiques

tau Proteins 0
Biomarkers 0
Antibodies, Monoclonal 0
Gold 7440-57-5

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Zhejiang Provincial Natural Science Foundation of China
ID : No. LY24F010008

Auteurs

Mingzhu Yang (M)

Ministry of Education Engineering Research Center of Smart Microsensors and Microsystems, College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.

Yihong Chen (Y)

Zhejiang College of Construction, Hangzhou 311231, China.

Hongyu Sun (H)

Ministry of Education Engineering Research Center of Smart Microsensors and Microsystems, College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.
School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.

Dujuan Li (D)

Ministry of Education Engineering Research Center of Smart Microsensors and Microsystems, College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.

Yanbin Li (Y)

Department of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR 72701, USA.

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Classifications MeSH