Evidence map›Paper›PMID 41006298›Full record

ArticleNature communications2025

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

Mina Lee, Michael Sotzing, Jue Wang, Alex Chortos

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mina LeeSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, USA.ORCID http://orcid.org/0000-0001-5879-7057
Michael SotzingSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, USA.
Jue WangSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, USA.ORCID http://orcid.org/0000-0002-8743-7517
Alex ChortosSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, USA. achortos@purdue.edu.ORCID http://orcid.org/0000-0003-3976-5257

Funding

National Science Foundation (NSF) 2328262
6 · The paper itself

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.

Identifiers

PMID41006298
PMCPMC12475459

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.