Evidence map›Paper›PMID 38248592›Full record

ArticleBiomimetics (Basel, Switzerland)2024

Artificial Hair Cell Sensor Based on Nanofiber-Reinforced Thin Metal Films.

Sajad A Moshizi, Christopher J Pastras, Shuhua Peng, Shuying Wu, Mohsen Asadnia

Open access · goldAbstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 23% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

5 authors at 3 institutions in 1 country.

Sajad A MoshiziSchool of Engineering, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0001-5445-8883
Christopher J PastrasSchool of Engineering, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0003-1985-1705
Shuhua PengSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW 2052, Australia.
Shuying WuSchool of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0002-6585-8898
Mohsen AsadniaSchool of Engineering, Macquarie University, Sydney, NSW 2109, Australia.
Macquarie University · AUThe University of Sydney · AUUNSW Sydney · AU

Funding

Australian Research Council (ARC) financial support via Discovery Early Career Researcher Awards DE170100284Australian Research Council (ARC) financial support via Discovery Early Career Researcher Awards DE180100688
6 · The paper itself

Abstract

Engineering artificial mechanosensory hair cells offers a promising avenue for developing diverse biosensors spanning applications from biomedicine to underwater sensing. Unfortunately, current artificial sensory hair cells do not have the ability to simultaneously achieve ultrahigh sensitivity with low-frequency threshold detection (e.g., 0.1 Hz). This work aimed to solve this gap by developing an artificial sensory hair cell inspired by the vestibular sensory apparatus, which has such functional capabilities. For device characterization and response testing, the sensory unit was inserted in a 3D printed lateral semicircular canal (LSCC) mimicking the environment of the labyrinth. The sensor was fabricated based on platinum (Pt) thin film which was reinforced by carbon nanofibers (CNFs). A Pi-shaped hair cell sensor was created as the sensing element which was tested under various conditions of simulated head motion. Results reveal the hair cell sensor displayed markedly higher sensitivity compared to other reported artificial hair cell sensors (e.g., 21.47 mV Hz

Indexed as

artificial hair cellscarbon nanofiberspiezoresistive sensorsplatinum thin filmvestibular system

Identifiers

PMID38248592
PMCPMC10813779
OpenAlexW4390505717

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.