Cupula-Inspired Hyaluronic Acid-Based Hydrogel Encapsulation to Form Biomimetic MEMS Flow Sensors
Blind cavefishes are known to detect objects through hydrodynamic vision enabled by arrays of biological flow sensors called neuromasts. This work demonstrates the development of a MEMS artificial neuromast sensor that features a 3D polymer hair cell that extends into the ambient flow. The hair cell...
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MDPI AG
2018
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| Online Access: | http://hdl.handle.net/1721.1/114848 https://orcid.org/0000-0002-4960-7060 |
| _version_ | 1826197571332210688 |
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| author | Kottapalli, Ajay Bora, Meghali Kanhere, Elgar Asadnia, Mohsen Miao, Jianmin Triantafyllou, Michael S |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Kottapalli, Ajay Bora, Meghali Kanhere, Elgar Asadnia, Mohsen Miao, Jianmin Triantafyllou, Michael S |
| author_sort | Kottapalli, Ajay |
| collection | MIT |
| description | Blind cavefishes are known to detect objects through hydrodynamic vision enabled by arrays of biological flow sensors called neuromasts. This work demonstrates the development of a MEMS artificial neuromast sensor that features a 3D polymer hair cell that extends into the ambient flow. The hair cell is monolithically fabricated at the center of a 2 µm thick silicon membrane that is photo-patterned with a full-bridge bias circuit. Ambient flow variations exert a drag force on the hair cell, which causes a displacement of the sensing membrane. This in turn leads to the resistance imbalance in the bridge circuit generating a voltage output. Inspired by the biological neuromast, a biomimetic synthetic hydrogel cupula is incorporated on the hair cell. The morphology, swelling behavior, porosity and mechanical properties of the hyaluronic acid hydrogel are characterized through rheology and nanoindentation techniques. The sensitivity enhancement in the sensor output due to the material and mechanical contributions of the micro-porous hydrogel cupula is investigated through experiments. |
| first_indexed | 2024-09-23T10:49:43Z |
| format | Article |
| id | mit-1721.1/114848 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T10:49:43Z |
| publishDate | 2018 |
| publisher | MDPI AG |
| record_format | dspace |
| spelling | mit-1721.1/1148482022-09-30T23:21:02Z Cupula-Inspired Hyaluronic Acid-Based Hydrogel Encapsulation to Form Biomimetic MEMS Flow Sensors Kottapalli, Ajay Bora, Meghali Kanhere, Elgar Asadnia, Mohsen Miao, Jianmin Triantafyllou, Michael S Massachusetts Institute of Technology. Department of Mechanical Engineering Triantafyllou, Michael S Blind cavefishes are known to detect objects through hydrodynamic vision enabled by arrays of biological flow sensors called neuromasts. This work demonstrates the development of a MEMS artificial neuromast sensor that features a 3D polymer hair cell that extends into the ambient flow. The hair cell is monolithically fabricated at the center of a 2 µm thick silicon membrane that is photo-patterned with a full-bridge bias circuit. Ambient flow variations exert a drag force on the hair cell, which causes a displacement of the sensing membrane. This in turn leads to the resistance imbalance in the bridge circuit generating a voltage output. Inspired by the biological neuromast, a biomimetic synthetic hydrogel cupula is incorporated on the hair cell. The morphology, swelling behavior, porosity and mechanical properties of the hyaluronic acid hydrogel are characterized through rheology and nanoindentation techniques. The sensitivity enhancement in the sensor output due to the material and mechanical contributions of the micro-porous hydrogel cupula is investigated through experiments. Singapore. National Research Foundation (Campus for Research Excellence and Technological Enterprise programme) 2018-04-20T23:10:34Z 2018-04-20T23:10:34Z 2017-07 2017-07 2018-03-02T16:13:33Z Article http://purl.org/eprint/type/JournalArticle 1424-8220 http://hdl.handle.net/1721.1/114848 Kottapalli, Ajay, Meghali Bora, Elgar Kanhere, Mohsen Asadnia, Jianmin Miao, and Michael Triantafyllou. “Cupula-Inspired Hyaluronic Acid-Based Hydrogel Encapsulation to Form Biomimetic MEMS Flow Sensors.” Sensors, vol. 17, no. 8, July 2017, p. 1728. © 2017 by the authors. https://orcid.org/0000-0002-4960-7060 http://dx.doi.org/10.3390/S17081728 Sensors Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ application/pdf MDPI AG Diversity |
| spellingShingle | Kottapalli, Ajay Bora, Meghali Kanhere, Elgar Asadnia, Mohsen Miao, Jianmin Triantafyllou, Michael S Cupula-Inspired Hyaluronic Acid-Based Hydrogel Encapsulation to Form Biomimetic MEMS Flow Sensors |
| title | Cupula-Inspired Hyaluronic Acid-Based Hydrogel Encapsulation to Form Biomimetic MEMS Flow Sensors |
| title_full | Cupula-Inspired Hyaluronic Acid-Based Hydrogel Encapsulation to Form Biomimetic MEMS Flow Sensors |
| title_fullStr | Cupula-Inspired Hyaluronic Acid-Based Hydrogel Encapsulation to Form Biomimetic MEMS Flow Sensors |
| title_full_unstemmed | Cupula-Inspired Hyaluronic Acid-Based Hydrogel Encapsulation to Form Biomimetic MEMS Flow Sensors |
| title_short | Cupula-Inspired Hyaluronic Acid-Based Hydrogel Encapsulation to Form Biomimetic MEMS Flow Sensors |
| title_sort | cupula inspired hyaluronic acid based hydrogel encapsulation to form biomimetic mems flow sensors |
| url | http://hdl.handle.net/1721.1/114848 https://orcid.org/0000-0002-4960-7060 |
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