Evidence map›Paper›PMID 40457639›Full record

ArticleSmall methods2025

Controllable Liquid Metal Microparticles Production and Patterning by Miniaturized Filter-Sieve Generators.

Qingtian Zhang, Hongda Lu, Yipu Guo, Xiangbo Zhou, Liping Gong, Zexin Chen, Jialu Wang, Haiping Du, Shi-Yang Tang, Weihua Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Small methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Qingtian ZhangFaculty of Engineering and Information Sciences, School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW, 2522, Australia.ORCID https://orcid.org/0000-0002-7704-7427
Hongda LuFaculty of Engineering and Information Sciences, School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW, 2522, Australia.ORCID https://orcid.org/0000-0002-8696-5684
Yipu GuoFaculty of Engineering and Information Sciences, School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW, 2522, Australia.
Xiangbo ZhouFaculty of Engineering and Information Sciences, School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW, 2522, Australia.ORCID https://orcid.org/0000-0002-3512-4391
Liping GongFaculty of Engineering and Information Sciences, School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW, 2522, Australia.ORCID https://orcid.org/0000-0001-8854-8086
Zexin ChenFaculty of Engineering and Information Sciences, School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW, 2522, Australia.ORCID https://orcid.org/0000-0002-4216-7306
Jialu WangFaculty of Engineering and Information Sciences, School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW, 2522, Australia.
Haiping DuSchool of Electronic, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, 2522, Australia.ORCID https://orcid.org/0000-0002-3439-3821
Shi-Yang TangSchool of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia.ORCID https://orcid.org/0000-0002-3079-8880
Weihua LiFaculty of Engineering and Information Sciences, School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW, 2522, Australia.ORCID https://orcid.org/0000-0002-6190-8421

Funding

Australian Research Council DP230100823Australian Research Council FT230100257University of Wollongong AEGiS research
6 · The paper itself

Abstract

Liquid metal microparticles (LMMPs) with excellent conductivity and reactivity hold significant promise for applications in flexible electronics and sensors. However, current LMMP production methods face critical challenges, including achieving smaller particle sizes with low energy consumption, streamlining processes, and enhancing productivity. Herein, leveraging the tunable surface tension of LM droplets, a compact platform called the miniaturized filter-sieve generator (MFSG) is presented, for scalable, energy-efficient, and controllable LMMP production. The MFSG demonstrates high energy efficiency (average power consumption of 0.21 W) and productivity (6.51 × 10

Indexed as

compact platformscontrollable sizeshigh energy efficiencyhigh productivitiesliquid metal microparticles

Identifiers

PMID40457639
PMCPMC12641367

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.