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Enhanced selectivity in detecting matrix metalloproteinase-2 via sequential affinity capture, cascade reaction, and electrochemical measurement
  • Park, Seonhwa ;
  • Gwon, Minji ;
  • Lee, Hyeryeong ;
  • Kim, Seonghye ;
  • Kim, Suhkmann ;
  • Joo, Jung Min ;
  • Yoo, Tae Hyeon ;
  • Yang, Haesik
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Publication Year
2025-07-01
Journal
Sensors and Actuators B: Chemical
Publisher
Elsevier B.V.
Citation
Sensors and Actuators B: Chemical, Vol.434
Keyword
Cascade reactionElectrochemical detectionEngineered auto-inhibited β-lactamaseMatrix metalloproteinase-2Protease
Mesh Keyword
Cascade reactionsELectrochemical detectionElectrochemical measurementsEngineered auto-inhibited β-lactamaseMatrix metalloproteinase-2NitrocefinProteaseSelective detectionSensitive detectionβ-Lactamase
All Science Classification Codes (ASJC)
Electronic, Optical and Magnetic MaterialsInstrumentationCondensed Matter PhysicsSurfaces, Coatings and FilmsMetals and AlloysElectrical and Electronic EngineeringMaterials Chemistry
Abstract
Selective detection of proteases in complex biological matrices remains a significant challenge due to interference from multiple proteases and inhibitors. This study introduces a novel method for the selective and sensitive detection of matrix metalloproteinase-2 (MMP-2) employing a sequence of affinity capture, cascade reaction, and electrochemical measurement. The method begins with the affinity capture of MMP-2 on an electrode, followed by a washing step to mitigate interference from other proteases and inhibitors present in human serum. This is followed by a cascade reaction, where proteolytic cleavage of auto-inhibited β-lactamase by MMP-2 and subsequent ring-opening hydrolysis of electro-inactive nitrocefin by the activated β-lactamase rapidly produce electro-active open-nitrocefin. Electrochemical measurements of this open-nitrocefin near the electrode surface generate a high signal. This method achieved a detection limit of 20 ng/mL for MMP-2 in human serum and demonstrated high selectivity against a range of proteases. The study presents a new strategy for the selective and sensitive detection of proteases in complex biological samples, potentially enhancing diagnostic approaches for protease-related diseases.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/38546
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=86000550607&origin=inward
DOI
https://doi.org/10.1016/j.snb.2025.137586
Journal URL
https://www.sciencedirect.com/science/journal/09254005
Type
Article
Funding
This research was supported by the National Research Foundation of Korea (2021R1A2C3012115 and 2022R1C1C2003120).
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College of Bio-convergence Engineering
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