Evidence map›Paper›PMID 37483144›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

3D-Printed Artificial Cilia Arrays: A Versatile Tool for Customizable Mechanosensing.

Phillip Glass, Andy Shar, Charles Pemberton, Ethan Nguyen, Sung Hyun Park, Daeha Joung

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 3D-Printed Artificial Cilia Arrays: A Versatile Tool for Customizable Mechanosensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
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

6 authors.

Phillip GlassDepartment of Physics, Virginia Commonwealth University, Richmond, VA, 23284, USA.
Andy SharDepartment of Physics, Virginia Commonwealth University, Richmond, VA, 23284, USA.
Charles PembertonDepartment of Physics, Virginia Commonwealth University, Richmond, VA, 23284, USA.
Ethan NguyenDepartment of Physics, Virginia Commonwealth University, Richmond, VA, 23284, USA.
Sung Hyun ParkSustainable Technology and Wellness R&D Group, Korea Institute of Industrial Technology (KITECH), Jeju-si, Jeju-do, 63243, Republic of Korea.ORCID 0000-0002-0784-8026
Daeha JoungDepartment of Physics, Virginia Commonwealth University, Richmond, VA, 23284, USA.ORCID 0000-0002-1016-9374

Funding

Commonwealth Health Research Board 236-08-21National Research Foundation of Korea NRF-2021R1C1C1012470
6 · The paper itself

Abstract

Bio-inspired cilium-based mechanosensors offer a high level of responsiveness, making them suitable for a wide range of industrial, environmental, and biomedical applications. Despite great promise, the development of sensors with multifunctionality, scalability, customizability, and sensing linearity presents challenges due to the complex sensing mechanisms and fabrication methods involved. To this end, high-aspect-ratio polycaprolactone/graphene cilia structures with high conductivity, and facile fabrication are employed to address these challenges. For these 3D-printed structures, an "inter-cilium contact" sensing mechanism that enables the sensor to function akin to an on-off switch, significantly enhancing sensitivity and reducing ambiguity in detection, is proposed. The cilia structures exhibit high levels of customizability, including thickness, height, spacing, and arrangement, while maintaining mechanical robustness. The simplicity of the sensor design enables highly sensitive detection in diverse applications, encompassing airflow and water flow monitoring, braille detection, and debris recognition. Overall, the unique conductive cilia-based sensing mechanism that is proposed brings several advantages, advancing the development of multi-sensing capabilities and flexible electronic skin applications in smart robotics and human prosthetics.

Indexed as

Artificial LimbsRoboticsWearable Electronic DevicesCiliaHumansPrinting, Three-Dimensional3D printingcilia arraysgraphene compositesmechanosensorstactile sensors

Identifiers

PMID37483144
PMCPMC10502633

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.