Evidence map›Paper›PMID 39258595›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Biomechanics on Ultra-Sensitivity of Venus Flytrap's Micronewton Trigger Hairs.

Kejun Wang, Siyuan Chen, Guanyu Bao, Tao Sun, Junqiu Zhang, Daobing Chen, Lining Sun, Zhiwu Han, Chao Liu, Qian Wang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Biomechanics on Ultra-Sensitivity of Venus Flytrap's Micronewton Trigger Hairs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

10 authors.

Kejun WangJiangsu Provincial Key Laboratory of Advanced Robotics, Soochow University, Suzhou, 215123, P. R. China.
Siyuan ChenJiangsu Provincial Key Laboratory of Advanced Robotics, Soochow University, Suzhou, 215123, P. R. China.
Guanyu BaoJiangsu Provincial Key Laboratory of Advanced Robotics, Soochow University, Suzhou, 215123, P. R. China.
Tao SunKey Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, 130022, P. R. China.
Junqiu ZhangKey Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, 130022, P. R. China.
Daobing ChenThe Institute of Technological Science, Wuhan University, Wuhan, 430072, P. R. China.
Lining SunJiangsu Provincial Key Laboratory of Advanced Robotics, Soochow University, Suzhou, 215123, P. R. China.
Zhiwu HanKey Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, 130022, P. R. China.
Chao LiuJiangsu Provincial Key Laboratory of Advanced Robotics, Soochow University, Suzhou, 215123, P. R. China.
Qian WangJiangsu Provincial Key Laboratory of Advanced Robotics, Soochow University, Suzhou, 215123, P. R. China.ORCID 0000-0003-1775-3124

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 52021003National Natural Science Foundation of China 52175269National Natural Science Foundation of China 52305321National Natural Science Foundation of China 52375297Natural Science Foundation of Jiangsu Province BK20230496Postdoctoral Science Foundation of China 2023M732020
6 · The paper itself

Abstract

Numerous plants evolve ingeniously microcantilever-based hairs to ultra-sensitively detect out-of-plane quasi-static tactile loads, providing a natural blueprint for upgrading the industrial static mode microcantilever sensors, but how do the biological sensory hairs work mechanically? Here, the action potential-producing trigger hairs of carnivorous Venus flytraps (Dionaea muscipula) are investigated in detail from biomechanical perspective. Under tiny mechanical stimulation, the deformable trigger hair, composed of distal stiff lever and proximal flexible podium, will lead to rapid trap closure and prey capture. The multiple features determining the sensitivity such as conical morphology, multi-scale functional structures, kidney-shaped sensory cells, and combined deformation under tiny mechanical stimulation are comprehensively researched. Based on materials mechanics, finite element simulation, and bio-inspired original artificial sensors, it is verified that the omnidirectional ultra-sensitivity of trigger hair is attributed to the stiff-flexible coupling of material, the double stress concentration, the circular distribution of sensory cells, and the positive local buckling. Also, the balance strategy of slender hair between sensitivity and structural stability (i.e., avoiding disastrous collapse) is detailed revealed. The unique basic biomechanical mechanism underlying trigger hairs is essential for significantly enhancing the performance of the traditional industrial static mode microcantilever sensors, and ensure the stability of arbitrary load perception.

Indexed as

DroseraceaeBiomechanical PhenomenaTouchbio‐inspiredmechano‐sensormicro‐cantilevertrigger hairsultra‐sensitivity

Identifiers

PMID39258595
PMCPMC11538643

What Socratic 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 Socratic graph.