Evidence map›Paper›PMID 42744800›Full record

ArticleNature communications2026

Reconfigurable multibeam engineering of Marangoni convection for programmable optofluidic steering.

Chenchen Liu, Zongpeng Huang, Fan Nan, Yao Zhang, Guowei Yang, Hongxiang Lei

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Chenchen LiuGuangdong Engineering Technology Research Centre for Functional Biomaterials, Nanotechnology Research Center, School of Materials Science and Engineering, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0009-0009-0246-2093
Zongpeng HuangInstitute of Nanophotonics, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou, China.
Fan NanInstitute of Nanophotonics, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou, China. fnan190730@gmail.com.ORCID http://orcid.org/0000-0002-0786-4974
Yao ZhangInstitute of Nanophotonics, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou, China. zhyao5@jnu.edu.cn.
Guowei YangGuangdong Engineering Technology Research Centre for Functional Biomaterials, Nanotechnology Research Center, School of Materials Science and Engineering, Sun Yat-sen University, Guangzhou, China.
Hongxiang LeiGuangdong Engineering Technology Research Centre for Functional Biomaterials, Nanotechnology Research Center, School of Materials Science and Engineering, Sun Yat-sen University, Guangzhou, China. leihx@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0003-3546-553X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 12404361
6 · The paper itself

Abstract

Optofluidic manipulation provides a powerful route for guiding micro- and nanoparticles, yet conventional light-induced flow systems often suffer from limited controllability, unstable flow patterns, and poor reconfigurability. Here, we demonstrate programmable optofluidic steering based on multibeam engineering of Marangoni convection technique (MEMCT) around optothermally generated air bubbles. In our MEMCT, focused laser irradiation on a gold film creates localized photothermal heating near an air bubble, thereby reshaping the temperature distribution along the air-water interface. By varying the position, number, and spatial arrangement of laser-induced heat sources, we generate tunable flow patterns ranging from directional transport to complex vortical circulation. Simulations and experiments confirm that these reconfigurable interfacial stress fields can deterministically steer single or multiple particles along prescribed trajectories. Furthermore, by integrating it with microfluidic cross-junctions and extending this strategy to bubble arrays, we realize pump-free, on-demand particle routing. This programmable Marangoni-flow platform offers a simple and versatile strategy for dynamic particle manipulation, with potential applications in lab-on-a-chip systems, micro/nanorobotics, and biophotonic technologies.

Identifiers

PMID42744800
PMCPMC13578732

What OpenQuestion holds

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Registered trials

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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.