Evidence map›Paper›PMID 38534875›Full record

ArticleBiomimetics (Basel, Switzerland)2024

A Highly Sensitive Deep-Sea Hydrodynamic Pressure Sensor Inspired by Fish Lateral Line.

Xiaohe Hu, Zhiqiang Ma, Zheng Gong, Fuqun Zhao, Sheng Guo, Deyuan Zhang, Yonggang Jiang

Abstract 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 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. A Hybrid Chitosan-BaTiOACS applied engineering materials · 2026
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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

7 authors.

Xiaohe HuSchool of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.
Zhiqiang MaSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China.ORCID 0000-0002-7939-9901
Zheng GongSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China.
Fuqun ZhaoSchool of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.
Sheng GuoSchool of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.
Deyuan ZhangSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China.
Yonggang JiangSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China.ORCID 0000-0003-1979-996X

Funding

Fundamental Research Funds for the Central Universities M23JBMC00070National Natural Science Foundation of China 51975030National Natural Science Foundation of China 52022008
6 · The paper itself

Abstract

Hydrodynamic pressure sensors offer an auxiliary approach for ocean exploration by unmanned underwater vehicles (UUVs). However, existing hydrodynamic pressure sensors often lack the ability to monitor subtle hydrodynamic stimuli in deep-sea environments. In this study, we present the development of a deep-sea hydrodynamic pressure sensor (DSHPS) capable of operating over a wide range of water depths while maintaining exceptional hydrodynamic sensing performance. The DSHPS device was systematically optimized by considering factors such as piezoelectric polyvinylidene fluoride-trifluoroethylene/barium titanate [P(VDF-TrFE)/BTO] nanofibers, electrode configurations, sensing element dimensions, integrated circuits, and packaging strategies. The optimized DSHPS exhibited a remarkable pressure gradient response, achieving a minimum pressure difference detection capability of approximately 0.11 Pa. Additionally, the DSHPS demonstrated outstanding performance in the spatial positioning of dipole sources, which was elucidated through theoretical charge modeling and fluid-structure interaction (FSI) simulations. Furthermore, the integration of a high Young's modulus packaging strategy inspired by fish skull morphology ensured reliable sensing capabilities of the DSHPS even at depths of 1000 m in the deep sea. The DSHPS also exhibited consistent and reproducible positioning performance for subtle hydrodynamic stimulus sources across this wide range of water depths. We envision that the development of the DSHPS not only enhances our understanding of the evolutionary aspects of deep-sea canal lateral lines but also paves the way for the advancement of artificial hydrodynamic pressure sensors.

Indexed as

biomimeticdeep-seahydrodynamic pressure sensorlateral linepiezoelectric nanofiber mat

Identifiers

PMID38534875
PMCPMC10968026

What OpenQuestion holds

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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.