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Hypersensitive meta-crack strain sensor for real-time biomedical monitoring
  • Lee, Jae Hwan ;
  • Kim, Yoon Nam ;
  • Lee, Junsang ;
  • Jeon, Jooik ;
  • Bae, Jae Young ;
  • Lee, Ju Yong ;
  • Kim, Kyung Sub ;
  • Chae, Minseong ;
  • Park, Hyunjun ;
  • Kim, Jong Hyoung ;
  • Lee, Kang Sik ;
  • Kim, Jeonghyun ;
  • Hyun, Jung Keun ;
  • Kang, Daeshik ;
  • Kang, Seung Kyun
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Publication Year
2024-12-20
Journal
Science Advances
Publisher
American Association for the Advancement of Science
Citation
Science Advances, Vol.10 No.51
Mesh Keyword
Biomedical monitoringComplex morphologyGage factorsImaging methodPropertyReal time monitoringReal- timeShape-adaptiveSpectroscopic imagingStrain sensorsAnimalsBiomechanical PhenomenaBiosensing TechniquesFinite Element AnalysisHumansMonitoring, PhysiologicStress, Mechanical
All Science Classification Codes (ASJC)
Multidisciplinary
Abstract
Real-time monitoring of infinitesimal deformations on complex morphologies is essential for precision biomechanical engineering. While flexible strain sensors facilitate real-time monitoring with shape-adaptive properties, their sensitivity is generally lower than spectroscopic imaging methods. Crack-based strain sensors achieve enhanced sensitivity with gauge factors (GFs) exceeding 30,000; however, such GFs are only attainable at large strains exceeding several percent and decline below 10 for strains under 10−3, rendering them inadequate for minute deformations. Here, we introduce hypersensitive and flexible “meta-crack” sensors detecting infinitesimal strains through previously undiscovered crack-opening mechanisms. These sensors achieve remarkable GFs surpassing 1000 at strains of 10−4 on substrates with a Poisson’s ratio of −0.9. The crack orientation–independent gap-widening behavior elucidates the origin of hypersensitivity, corroborated by simplified models and finite element analysis. Additionally, parallel mechanical circuits of meta-cracks effectively address the trade-off between resolution and maximum sensing threshold. In vivo real-time monitoring of cerebrovascular dynamics with a strain resolution of 10−5 underscores the hypersensitivity and conformal adaptability of sensors.
ISSN
2375-2548
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/38103
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85213574044&origin=inward
DOI
https://doi.org/10.1126/sciadv.ads9258
Journal URL
https://www.science.org/doi/epdf/10.1126/sciadv.ads9258
Type
Article
Funding
This work was supported by National Research Foundation of Korea (NRF) grant 2022M3H4A1A04096393 funded by the Ministry of Science and ICT (half supported) and National Research Foundation of Korea (NRF) grant RS-2024-00419269 funded by the Ministry of Science and ICT (half supported)
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KANG, DAESHIK 강대식
Department of Mechanical Engineering
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