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Printing a Pacinian Corpuscle: Modeling and Performance

The Pacinian corpuscle is a highly sensitive mammalian sensor cell that exhibits a unique band-pass sensitivity to vibrations. The cell achieves this band-pass response through the use of 20 to 70 elastic layers entrapping layers of viscous fluid. This paper develops and explores a scalable mechanic...

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Autores principales: Barrett-Snyder, Kieran, Lane, Susan, Lazarus, Nathan, Alberts, W. C. Kirkpatrick, Hanrahan, Brendan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158471/
https://www.ncbi.nlm.nih.gov/pubmed/34070189
http://dx.doi.org/10.3390/mi12050574
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author Barrett-Snyder, Kieran
Lane, Susan
Lazarus, Nathan
Alberts, W. C. Kirkpatrick
Hanrahan, Brendan
author_facet Barrett-Snyder, Kieran
Lane, Susan
Lazarus, Nathan
Alberts, W. C. Kirkpatrick
Hanrahan, Brendan
author_sort Barrett-Snyder, Kieran
collection PubMed
description The Pacinian corpuscle is a highly sensitive mammalian sensor cell that exhibits a unique band-pass sensitivity to vibrations. The cell achieves this band-pass response through the use of 20 to 70 elastic layers entrapping layers of viscous fluid. This paper develops and explores a scalable mechanical model of the Pacinian corpuscle and uses the model to predict the response of synthetic corpuscles, which could be the basis for future vibration sensors. The −3dB point of the biological cell is accurately mimicked using the geometries and materials available with off-the-shelf 3D printers. The artificial corpuscles here are constructed using uncured photoresist within structures printed in a commercial stereolithography (SLA) 3D printer, allowing the creation of trapped fluid layers analogous to the biological cell. Multi-layer artificial Pacinian corpuscles are vibration tested over the range of 20–3000 Hz and the response is in good agreement with the model.
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spelling pubmed-81584712021-05-28 Printing a Pacinian Corpuscle: Modeling and Performance Barrett-Snyder, Kieran Lane, Susan Lazarus, Nathan Alberts, W. C. Kirkpatrick Hanrahan, Brendan Micromachines (Basel) Article The Pacinian corpuscle is a highly sensitive mammalian sensor cell that exhibits a unique band-pass sensitivity to vibrations. The cell achieves this band-pass response through the use of 20 to 70 elastic layers entrapping layers of viscous fluid. This paper develops and explores a scalable mechanical model of the Pacinian corpuscle and uses the model to predict the response of synthetic corpuscles, which could be the basis for future vibration sensors. The −3dB point of the biological cell is accurately mimicked using the geometries and materials available with off-the-shelf 3D printers. The artificial corpuscles here are constructed using uncured photoresist within structures printed in a commercial stereolithography (SLA) 3D printer, allowing the creation of trapped fluid layers analogous to the biological cell. Multi-layer artificial Pacinian corpuscles are vibration tested over the range of 20–3000 Hz and the response is in good agreement with the model. MDPI 2021-05-18 /pmc/articles/PMC8158471/ /pubmed/34070189 http://dx.doi.org/10.3390/mi12050574 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Barrett-Snyder, Kieran
Lane, Susan
Lazarus, Nathan
Alberts, W. C. Kirkpatrick
Hanrahan, Brendan
Printing a Pacinian Corpuscle: Modeling and Performance
title Printing a Pacinian Corpuscle: Modeling and Performance
title_full Printing a Pacinian Corpuscle: Modeling and Performance
title_fullStr Printing a Pacinian Corpuscle: Modeling and Performance
title_full_unstemmed Printing a Pacinian Corpuscle: Modeling and Performance
title_short Printing a Pacinian Corpuscle: Modeling and Performance
title_sort printing a pacinian corpuscle: modeling and performance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158471/
https://www.ncbi.nlm.nih.gov/pubmed/34070189
http://dx.doi.org/10.3390/mi12050574
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