Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88382
Title: Biomimetic hydrogel-CNT network induced enhancement of fluid-structure interactions for ultrasensitive nanosensors
Authors: Triantafyllou, Michael S.
Bora, Meghali
Kottapalli, Ajay Giri Prakash
Miao, Jianmin
Keywords: Biomimetic
Nanosensor
DRNTU::Engineering::Mechanical engineering
Issue Date: 2017
Source: Bora, M., Kottapalli, A. G. P., Miao, J., & Triantafyllou, M. S. (2017). Biomimetic hydrogel-CNT network induced enhancement of fluid-structure interactions for ultrasensitive nanosensors. NPG Asia Materials, 9, e440-. doi:http://dx.doi.org/10.1038/am.2017.183
Series/Report no.: NPG Asia Materials
Abstract: Flexible, self-powered, miniaturized, ultrasensitive flow sensors are in high demand for human motion detection, myoelectric prosthesis, biomedical robots, and health-monitoring devices. This paper reports a biomimetic nanoelectromechanical system (NEMS) flow sensor featuring a PVDF nanofiber sensing membrane with a hydrogel infused, vertically aligned carbon nanotube (VACNT) bundle that mechanically interacts with the flow. The hydrogel-VACNT structure mimics the cupula structure in biological flow sensors and gives the NEMS flow sensor ultrahigh sensitivity via a material-induced drag force enhancement mechanism. Through hydrodynamic experimental flow characterization, this work investigates the contributions of the mechanical and structural properties of the hydrogel in offering a sensing performance superior to that of conventional sensors. The ultrahigh sensitivity of the developed sensor enabled the detection of minute flows generated during human motion and micro-droplet propagation. The novel fabrication strategies and combination of materials used in the biomimetic NEMS sensor fabrication may guide the development of several wearable, flexible, and self-powered nanosensors in the future.
URI: https://hdl.handle.net/10356/88382
http://hdl.handle.net/10220/45736
DOI: 10.1038/am.2017.183
Rights: © 2017 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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