Portable, High-Sensitive, and Metglas Alloy 2826 MB-Based Magnetoelastic Biosensor to Detect the Osteoarthritis Marker MMP-3

Osteoarthritis (OA) is one of the most common joint disorders affecting human health. Early detection of OA is essential for effective treatment of the disease. There is a growing demand of techniques for highly sensitive detection of trace OA markers. Here, the magnetoelastic (ME) biosensor based o...

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Bibliographic Details
Published inIEEE sensors journal Vol. 22; no. 24; pp. 23780 - 23785
Main Authors Guo, Xing, Li, Hongmei, Hou, Jianru, Li, Pengcui, Li, Haoqian, Guo, Li, Che, Xianda, Yuan, Zhongyun, Sang, Shengbo
Format Journal Article
LanguageEnglish
Published New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 15.12.2022
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Summary:Osteoarthritis (OA) is one of the most common joint disorders affecting human health. Early detection of OA is essential for effective treatment of the disease. There is a growing demand of techniques for highly sensitive detection of trace OA markers. Here, the magnetoelastic (ME) biosensor based on Metglas alloy 2826 MB is presented to detect matrix metalloproteinase-3 (MMP-3) of the OA biomarker, through the measurement of resonant frequency changes with excellent magnetostrictive effects. The detection system consists of an ME chip immobilized with MMP-3 antibody and an electromagnetic coil. Since the ME biosensor is ultrasensitive to mass changes, the frequency shift caused by mass changes induced by antibody–antigen-specific binding can be used to reflect the amount of MMP-3. The ME biosensor has been applied to detect the actual joint fluid sample of OA patients, demonstrating its feasibility. The results show that this assay has a linear response to the MMP-3 concentrations ranging from 30.7 to [Formula Omitted] with a detection limit of [Formula Omitted], covering the range of clinical tests required for the diagnosis of OA. The ME biosensor provides a novel and viable method for the diagnosis of early OA.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2022.3220323