Integrated individually electrochemical array for simultaneously detecting multiple Alzheimer's biomarkers.


Journal

Biosensors & bioelectronics
ISSN: 1873-4235
Titre abrégé: Biosens Bioelectron
Pays: England
ID NLM: 9001289

Informations de publication

Date de publication:
15 Aug 2020
Historique:
received: 12 02 2020
revised: 24 04 2020
accepted: 26 04 2020
pubmed: 12 5 2020
medline: 7 4 2021
entrez: 12 5 2020
Statut: ppublish

Résumé

Simultaneous detection of multiple biomarkers is benefit for reducing the detection cycles, avoiding the false-positive signals, and providing the cross validation, which provide the opportunity to understand the pathogenic mechanisms and achieve precise early diagnosis. Here, we demonstrate the mini-pillar-based individual electrochemical array for simultaneous detection of multiple biomarkers. On such platform, the mini-pillar could confine the microdroplet as individual and open-channel microreactor, which is extremely helpful for reducing reagent consumption and extracting internal information, and the electrodes array embedded in mini-pillar are integrated on one side to achieve multiple and simultaneous electrochemical sensing. The introduction of gold nanodendrites by electrodeposition has greatly enhanced sensitivity via improving probe-binding capacity and response signals. Sensitive and selective detection of multiple Alzheimer's biomarkers including Tau, ApoE4, Amyloid-β and miRNA-101 on such mini-pillar-based biosensor is also achieved. Such biosensor platform with the advantages of high-yield, high sensitivity, low-waste and multiple signals output shows great promise in sensing multiple biomolecules for disease diagnosis and health monitoring.

Identifiants

pubmed: 32392158
pii: S0956-5663(20)30249-9
doi: 10.1016/j.bios.2020.112253
pii:
doi:

Substances chimiques

Amyloid beta-Peptides 0
Apolipoprotein E4 0
Biomarkers 0
MIRN101 microRNA, human 0
MicroRNAs 0
tau Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

112253

Informations de copyright

Copyright © 2020 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

Yongchao Song (Y)

Research Center for Bioengineering and Sensing Technology, University of Science and Technology Beijing, Beijing, 100083, PR China.

Tailin Xu (T)

Research Center for Bioengineering and Sensing Technology, University of Science and Technology Beijing, Beijing, 100083, PR China. Electronic address: xutailin@ustb.edu.cn.

Qinglin Zhu (Q)

Research Center for Bioengineering and Sensing Technology, University of Science and Technology Beijing, Beijing, 100083, PR China.

Xueji Zhang (X)

School of Biomedical Engineering, Shenzhen University Health Science Center, Shenzhen, Guangdong, 518060, PR China.

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Classifications MeSH