Electrochemical strategies for the detection of cTnI.


Journal

The Analyst
ISSN: 1364-5528
Titre abrégé: Analyst
Pays: England
ID NLM: 0372652

Informations de publication

Date de publication:
13 Sep 2021
Historique:
entrez: 13 9 2021
pubmed: 14 9 2021
medline: 16 9 2021
Statut: epublish

Résumé

Acute myocardial infarction (AMI) is the main cause of death from cardiovascular diseases. Thus, early diagnosis of AMI is essential for the treatment of irreversible damage from myocardial infarction. Traditional electrocardiograms (ECG) cannot meet the specific detection of AMI. Cardiac troponin I (cTnI) is the main biomarker for the diagnosis of myocardial infarction, and the detection of cTnI content has become particularly important. In this review, we introduced and compared the advantages and disadvantages of various cTnI detection methods. We focused on the analysis and comparison of the main indicators and limitations of various cTnI biosensors, including the detection range, detection limit, specificity, repeatability, and stability. In particular, we pay more attention to the application and development of electrochemical biosensors in the diagnosis of cardiovascular diseases based on different biological components. The application of electrochemical microfluidic chips for cTnI was also briefly introduced in this review. Finally, this review also briefly discusses the unresolved challenges of electrochemical detection and the expectations for improvement in the detection of cTnI biosensing in the future.

Identifiants

pubmed: 34515706
doi: 10.1039/d1an00808k
doi:

Substances chimiques

Biomarkers 0
Troponin I 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

5474-5495

Auteurs

Zhipeng Yuan (Z)

Advanced Micro and Nano-instruments Center, School of Mechanical & Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China. liwang@qlu.edu.cn.
Shandong Institute of Mechanical Design and Research, Jinan 250353, China.

Li Wang (L)

Advanced Micro and Nano-instruments Center, School of Mechanical & Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China. liwang@qlu.edu.cn.
Shandong Institute of Mechanical Design and Research, Jinan 250353, China.

Jun Chen (J)

Advanced Micro and Nano-instruments Center, School of Mechanical & Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China. liwang@qlu.edu.cn.
Shandong Institute of Mechanical Design and Research, Jinan 250353, China.

Weiguang Su (W)

Advanced Micro and Nano-instruments Center, School of Mechanical & Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China. liwang@qlu.edu.cn.
Shandong Institute of Mechanical Design and Research, Jinan 250353, China.

Anqing Li (A)

Advanced Micro and Nano-instruments Center, School of Mechanical & Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China. liwang@qlu.edu.cn.
Shandong Institute of Mechanical Design and Research, Jinan 250353, China.

Guosheng Su (G)

Advanced Micro and Nano-instruments Center, School of Mechanical & Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China. liwang@qlu.edu.cn.
Shandong Institute of Mechanical Design and Research, Jinan 250353, China.

Pengbo Liu (P)

Advanced Micro and Nano-instruments Center, School of Mechanical & Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China. liwang@qlu.edu.cn.
Shandong Institute of Mechanical Design and Research, Jinan 250353, China.

Xiangxiang Zhou (X)

Shandong Provincial Hospital, Jinan 250021, China.

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