Nanofibril scaffold assisted MEMS artificial hydrogel neuromasts for enhanced sensitivity flow sensing

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...

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Main Authors: Kottapalli, Ajay Giri Prakash, Bora, Meghali, Asadnia, Mohsen, Miao, Jianmin, Venkatraman, Subbu S., Triantafyllou, Michael S.
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:en_US
Published: Nature Publishing Group 2016
Online Access:http://hdl.handle.net/1721.1/101891
https://orcid.org/0000-0002-4960-7060
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author Kottapalli, Ajay Giri Prakash
Bora, Meghali
Asadnia, Mohsen
Miao, Jianmin
Venkatraman, Subbu S.
Triantafyllou, Michael S.
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Kottapalli, Ajay Giri Prakash
Bora, Meghali
Asadnia, Mohsen
Miao, Jianmin
Venkatraman, Subbu S.
Triantafyllou, Michael S.
author_sort Kottapalli, Ajay Giri Prakash
collection MIT
description 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.
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spelling mit-1721.1/1018912022-09-28T11:05:58Z Nanofibril scaffold assisted MEMS artificial hydrogel neuromasts for enhanced sensitivity flow sensing Kottapalli, Ajay Giri Prakash Bora, Meghali Asadnia, Mohsen Miao, Jianmin Venkatraman, Subbu S. Triantafyllou, Michael S. Massachusetts Institute of Technology. Department of Mechanical Engineering Triantafyllou, Michael S. 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. Singapore. National Research Foundation (Singapore-MIT Alliance for Research and Technology) 2016-03-28T18:10:01Z 2016-03-28T18:10:01Z 2016-01 2015-09 Article http://purl.org/eprint/type/JournalArticle 2045-2322 http://hdl.handle.net/1721.1/101891 Kottapalli, Ajay Giri Prakash, Meghali Bora, Mohsen Asadnia, Jianmin Miao, Subbu S. Venkatraman, and Michael Triantafyllou. “Nanofibril Scaffold Assisted MEMS Artificial Hydrogel Neuromasts for Enhanced Sensitivity Flow Sensing.” Scientific Reports 6 (January 14, 2016): 19336. https://orcid.org/0000-0002-4960-7060 en_US http://dx.doi.org/10.1038/srep19336 Scientific Reports Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ application/pdf Nature Publishing Group Nature Publishing Group
spellingShingle Kottapalli, Ajay Giri Prakash
Bora, Meghali
Asadnia, Mohsen
Miao, Jianmin
Venkatraman, Subbu S.
Triantafyllou, Michael S.
Nanofibril scaffold assisted MEMS artificial hydrogel neuromasts for enhanced sensitivity flow sensing
title Nanofibril scaffold assisted MEMS artificial hydrogel neuromasts for enhanced sensitivity flow sensing
title_full Nanofibril scaffold assisted MEMS artificial hydrogel neuromasts for enhanced sensitivity flow sensing
title_fullStr Nanofibril scaffold assisted MEMS artificial hydrogel neuromasts for enhanced sensitivity flow sensing
title_full_unstemmed Nanofibril scaffold assisted MEMS artificial hydrogel neuromasts for enhanced sensitivity flow sensing
title_short Nanofibril scaffold assisted MEMS artificial hydrogel neuromasts for enhanced sensitivity flow sensing
title_sort nanofibril scaffold assisted mems artificial hydrogel neuromasts for enhanced sensitivity flow sensing
url http://hdl.handle.net/1721.1/101891
https://orcid.org/0000-0002-4960-7060
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