Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/87479
Title: Nanofibril scaffold assisted MEMS artificial hydrogel neuromasts for enhanced sensitivity flow sensing
Authors: Kottapalli, Ajay Giri Prakash
Bora, Meghali
Asadnia, Mohsen
Miao, Jianmin
Triantafyllou, Michael
Venkatraman, Subbu Subramanian
Keywords: Hydrogel
Nanofibers
DRNTU::Engineering::Mechanical engineering
Issue Date: 2016
Source: Kottapalli, A. G. P., Bora, M., Asadnia, M., Miao, J., Venkatraman, S. S., & Triantafyllou, M. (2016). Nanofibril scaffold assisted MEMS artificial hydrogel neuromasts for enhanced sensitivity flow sensing. Scientific Reports, 6,19336-. doi:10.1038/srep19336.
Series/Report no.: Scientific Reports
Abstract: We present the development and testing of superficial neuromast-inspired flow sensors that also attain high sensitivity and resolution through a biomimetic hyaulronic acid-based hydrogel cupula dressing. The inspiration comes from the spatially distributed neuromasts of the blind cavefish that live in completely dark undersea caves; the sensors enable the fish to form three-dimensional flow and object maps, enabling them to maneuver efficiently in cluttered environments. A canopy shaped electrospun nanofibril scaffold, inspired by the cupular fibrils, assists the drop-casting process allowing the formation of a prolate spheroid-shaped artificial cupula. Rheological and nanoindentation characterizations showed that the Young’s modulus of the artificial cupula closely matches the biological cupula (10–100 Pa). A comparative experimental study conducted to evaluate the sensitivities of the naked hair cell sensor and the cupula-dressed sensor in sensing steady-state flows demonstrated a sensitivity enhancement by 3.5–5 times due to the presence of hydrogel cupula. The novel strategies of sensor development presented in this report are applicable to the design and fabrication of other biomimetic sensors as well. The developed sensors can be used in the navigation and maneuvering of underwater robots, but can also find applications in biomedical and microfluidic devices.
URI: https://hdl.handle.net/10356/87479
http://hdl.handle.net/10220/46699
DOI: 10.1038/srep19336
Schools: School of Materials Science & Engineering 
School of Mechanical and Aerospace Engineering 
Research Centres: Singapore-MIT Alliance Programme 
Rights: © 2016 The Authors (Nature Publishing Group). 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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