Hybrid 3D printing of bio-inspired artificial slowly adapting type II afferents

Mina Lee, Michael Sotzing, Jue Wang and Alex Chortos ()
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Mina Lee: Purdue University
Michael Sotzing: Purdue University
Jue Wang: Purdue University
Alex Chortos: Purdue University

Nature Communications, 2025, vol. 16, issue 1, 1-11

Abstract: Abstract Neuromorphic sensory systems could provide low power consumption and direct electrical integration with biological systems. However, the complex fabrication of these multicomponent systems limits fabrication throughput and prototyping flexibility. To fabricate a slowly adapting type II artificial afferent nerve, this work introduces a hybrid direct write 3D printing approach that uses the pick and place of a surface mount ring oscillator to generate voltage pulses and an engineered quantum tunneling composite as a strain sensor. Our quantum tunneling sensor composition includes oil to increase the strain range and reduce the hysteresis compared to traditional quantum tunneling composites. The sensing composite provides a resistance change of over 6 orders of magnitude with a strain range of over 50%. Our approach enables rapid prototyping of 3D artificial sensory systems with potential applications in prosthetics and robotics.

Date: 2025
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DOI: 10.1038/s41467-025-63470-7

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