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- W3025776985 abstract "This paper suggests development of a flexible, lightweight, and ultra-sensitive piezoresistive flow sensor based on vertical graphene nanosheets (VGNs) with a mazelike structure. The sensor was thoroughly characterized for steady-state and oscillatory water flow monitoring applications. The results demonstrated a high sensitivity (103.91 mV (mm/s)-1) and a very low-velocity detection threshold (1.127 mm s-1) in steady-state flow monitoring. As one of many potential applications, we demonstrated that the proposed VGNs/PDMS flow sensor can closely mimic the vestibular hair cell sensors housed inside the semicircular canals (SCCs). As a proof of concept, magnetic resonance imaging of the human inner ear was conducted to measure the dimensions of the SCCs and to develop a 3D printed lateral semicircular canal (LSCC). The sensor was embedded into the artificial LSCC and tested for various physiological movements. The obtained results indicate that the flow sensor is able to distinguish minute changes in the rotational axis physical geometry, frequency, and amplitude. The success of this study paves the way for extending this technology not only to vestibular organ prosthesis but also to other applications such as blood/urine flow monitoring, intravenous therapy (IV), water leakage monitoring, and unmanned underwater robots through incorporation of the appropriate packaging of devices." @default.
- W3025776985 created "2020-05-21" @default.
- W3025776985 creator A5008884053 @default.
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- W3025776985 date "2020-05-11" @default.
- W3025776985 modified "2023-10-16" @default.
- W3025776985 title "Development of an Ultra-Sensitive and Flexible Piezoresistive Flow Sensor Using Vertical Graphene Nanosheets" @default.
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- W3025776985 doi "https://doi.org/10.1007/s40820-020-00446-w" @default.
- W3025776985 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7770822" @default.
- W3025776985 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34138091" @default.
- W3025776985 hasPublicationYear "2020" @default.
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