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Printing a Pacinian Corpuscle: Modeling and Performance

Sensors and Electron Devices Directorate, U.S. Army Research Laboratory, Adelphi, MD 20783, USA
Electrical and Computer Engineering, University of California, Santa Cruz, CA 95064, USA
Author to whom correspondence should be addressed.
Academic Editors: Liliang Ouyang and Zhuo Xiong
Micromachines 2021, 12(5), 574;
Received: 19 April 2021 / Revised: 14 May 2021 / Accepted: 16 May 2021 / Published: 18 May 2021
(This article belongs to the Special Issue Biomaterials and Biomanufacturing)
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. View Full-Text
Keywords: 3D printing; soft robotics; vibration sensing; biomimetic 3D printing; soft robotics; vibration sensing; biomimetic
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MDPI and ACS Style

Barrett-Snyder, K.; Lane, S.; Lazarus, N.; Alberts, W.C.K.; Hanrahan, B. Printing a Pacinian Corpuscle: Modeling and Performance. Micromachines 2021, 12, 574.

AMA Style

Barrett-Snyder K, Lane S, Lazarus N, Alberts WCK, Hanrahan B. Printing a Pacinian Corpuscle: Modeling and Performance. Micromachines. 2021; 12(5):574.

Chicago/Turabian Style

Barrett-Snyder, Kieran, Susan Lane, Nathan Lazarus, W. C.K. Alberts, and Brendan Hanrahan. 2021. "Printing a Pacinian Corpuscle: Modeling and Performance" Micromachines 12, no. 5: 574.

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