Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/159341
Title: Magnetic nanochains-based dynamic ELISA for rapid and ultrasensitive detection of acute myocardial infarction biomarkers
Authors: Li, Di
Xiong, Qirong
Lu, Derong
Chen, Yonghao
Liang, Li
Duan, Hongwei
Keywords: Engineering::Bioengineering
Issue Date: 2021
Source: Li, D., Xiong, Q., Lu, D., Chen, Y., Liang, L. & Duan, H. (2021). Magnetic nanochains-based dynamic ELISA for rapid and ultrasensitive detection of acute myocardial infarction biomarkers. Analytica Chimica Acta, 1166, 338567-. https://dx.doi.org/10.1016/j.aca.2021.338567
Project: ING000383-ENG
MOE2018-T2-2-128
Journal: Analytica Chimica Acta
Abstract: Acute myocardial infarction (AMI) is the leading cause of morbidity and mortality globally. The serum levels of a group of cardiac biomarkers have been regarded as important indicators in the routine diagnosis of AMI. The development of rapid, sensitive, and accurate detection methods of AMI biomarkers is urgently needed for the early diagnosis of AMI. Here, a dynamic and pseudo-homogeneous enzyme-linked immunosorbent assay (ELISA) was reported based on the combined use of bioconjugated magnetic nanochains (MNCs) and gold nanoparticles (AuNPs) probes. The capture antibodies-conjugated MNCs served as dynamic nano-mixers to facilitate liquid mixing and as homogeneously dispersed capturing agents to capture and separate specific targets. The AuNPs probes were prepared by co-immobilization of detection antibodies and horseradish peroxidase (HRP) for signals amplification. The design of bioconjugated MNCs and AuNPs probes significantly increased the assay kinetics and improves the assay sensitivity. This novel ELISA strategy realized accurate detection of a panel of AMI biomarkers within 35 min, leading to considerably improved sensitivities compared to that of conventional ELISA method.
URI: https://hdl.handle.net/10356/159341
ISSN: 0003-2670
DOI: 10.1016/j.aca.2021.338567
Schools: School of Chemical and Biomedical Engineering 
Rights: © 2021 Elsevier B.V. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCBE Journal Articles

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