Evidence map›Paper›PMID 40695847›Full record

ArticleNature communications2025

Massively parallel microbubble nano-assembly.

Hyungmok Joh, Bin Lian, Shaw-Iong Hsueh, Zhichao Ma, Keng-Jung Lee, Si-Yang Zheng, Peer Fischer, Donglei Emma Fan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 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

8 authors.

Hyungmok JohMaterials Science and Engineering Program, Texas Materials Institute, The University of Texas at Austin, Austin, TX, USA.
Bin LianMaterials Science and Engineering Program, Texas Materials Institute, The University of Texas at Austin, Austin, TX, USA.
Shaw-Iong HsuehChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA.
Zhichao MaMax Planck Institute for Intelligent Systems, Stuttgart, Germany.
Keng-Jung LeeBiomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
Si-Yang ZhengBiomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
Peer FischerMax Planck Institute for Medical Research, Heidelberg, Germany. peer.fischer@mr.mpg.de.ORCID http://orcid.org/0000-0002-8600-5958
Donglei Emma FanMaterials Science and Engineering Program, Texas Materials Institute, The University of Texas at Austin, Austin, TX, USA. dfan@austin.utexas.edu.ORCID http://orcid.org/0000-0002-4724-2483

Funding

Innovative Point-of-Use Water Purification System: Portable, Scalable, Efficient, Easy-UseR43ES037145 · NIEHS · MATERIALS NOVA LIMITED LIABILITY COMPANY · PI LI, HUIFENG · 2024 to 2025
$362k
Deutsche Forschungsgemeinschaft (German Research Foundation) EXC-2082/1-390761711National Science Foundation (NSF) 1930649National Science Foundation (NSF) 2219221National Science Foundation (NSF) 2506603U.S. Department of Health & Human Services | National Institutes of Health (NIH) R43ES037145
6 · The paper itself

Abstract

Microbubbles are an important tool due to their unique mechanical, acoustic, and dynamical properties. Yet, it remains challenging to generate microbubbles quickly in a parallel, biocompatible, and controlled manner. Here, we present an opto-electrochemical method that combines precise light-based projection with low-energy electrolysis, realizing defined microbubble patterns that in turn trigger assembly processes. The size of the bubbles can be controlled from a few to over hundred micrometers with a spatial accuracy of ~2 μm. The minimum required light intensity is only ~0.1 W/cm

Indexed as

MicrobubblesNanoparticlesNanotechnologyEscherichia coliNanospheres

Identifiers

PMID40695847
PMCPMC12284250

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.