Evidence map›Paper›PMID 39937570›Full record

ArticleACS nano2025

Armored Regenerable Cilia.

Chuanqi Wei, Oleg V Gendelman, Youhua Jiang

Abstract read
In one paragraph

Article in ACS nano, 2025. 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. Robust Smart Superhydrophobic Cilia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

3 authors.

Chuanqi WeiDepartment of Mechanical Engineering (Robotics), Guangdong Technion-Israel Institute of Technology, Shantou, Guangdong 515063, China.ORCID 0000-0002-9096-2953
Oleg V GendelmanFaculty of Mechanical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.
Youhua JiangDepartment of Mechanical Engineering (Robotics), Guangdong Technion-Israel Institute of Technology, Shantou, Guangdong 515063, China.ORCID 0000-0002-6290-7789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flexible cilia of natural species are well-known for their capabilities to transport objects by their collective motions. Therefore, well-ordered, flexible, and stimuli-responsive artificial cilia have been developed to render similar functionalities. However, flexibility and stimuli-responsiveness of a microcilium are inherently incompatible with durability/robustness against mechanical damage, limiting the artificial cilia to applications with only gentle operating conditions. The critical (but long neglected in surface engineering) property of natural hairs is that they are rooted under the skin, allowing the regeneration of the damaged hairs from their undamaged roots (hair follicles). To integrate the functionalities of cilia and hair, we developed a fabrication strategy called stencil-assisted self-alignment of iron-laden aerosols to produce a surface termed armored regenerable cilia. This surface contains well-ordered, appropriately packed, flexible, and magneto-responsive artificial wires rooted within pores. The wall of the pore serves as the armor to protect the bottom part of the wires from mechanical damage, allowing the remaining wires to regrow when the self-alignment of iron-laden aerosols repeats. The armored regenerable cilia with functionalities such as water repellency, object manipulation, and impurity removal are expected to guide the design and fabrication of smart surfaces serving real-life applications.

Indexed as

CiliaAerosolsIronSurface PropertiesAerosolsIronciliaobject manipulationregenerationrepairresponsive surfaceSmart structuressuperhydrophobic surface

Identifiers

PMID39937570
PMCPMC11867016

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.