Evidence map›Paper›PMID 40060848›Full record

ArticleACS omega2025

Multi-Microseconds Microbubbles Induced by Nanoseconds Pulsed-Laser Heating of Gold Nano-Particles.

Mohammad Amer Allaf, Koji Okamoto, Takuto Owa

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Mohammad Amer AllafNuclear Engineering and Engineering Physics, University of Wisconsin-Madison, Engineering Research Building, 1500 Engineering Drive, Madison, Wisconsin 53705, United States.ORCID https://orcid.org/0000-0002-4162-8975
Koji OkamotoNuclear Professional School, The University of Tokyo, 2-22 Shirakata, Tokai, Naka District, Ibaraki 319-1106, Japan.
Takuto OwaNuclear Professional School, The University of Tokyo, Hongo Campus, Bunkyo, Tokyo 113-8654, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the effect of gold-nanoparticles (GNPs) aggregation on the formation of multimicrosecond water-vapor (WV) microbubbles (MBs) generated by nanosecond pulsed-laser heating of GNPs in water. The MBs' dynamics reveal a "dual-nature" system involving both WV phase change and the release of dissolved gases (DGs). High-speed visualization (216 kfps) captures two distinct stages in the MB lifecycle: an initial fast growth-collapse of the WV phase (multimicrosecond duration), followed by a slow collapse driven by DG release (>milliseconds). A double-exponential function effectively captures these stages, distinguishing WV and DG contributions. The prolonged WV lifetime, which differs significantly from previously reported nanosecond-scale lifetime, is strongly influenced by aggregation effects. This is supported by numerical-modeling of the heat diffusion around a plasmonically heated GNP, where aggregation is assumed to occur prior to the pulsed-laser application. Besides, a correlation found to exist between the WV's lifetime and the DGs' contribution to the overall MBs, the larger the DGs' contribution, the shorter the lifetime of the WV is, which is found to be driven by the increasing likelihood of aggregation. In summary, aggregation can either enhance or suppress plasmonic bubble generation and influence the WV lifetime or DG release. This work demonstrates the feasibility of multimicrosecond WV-MBs, which potentially can offer an extended operational window for various applications, including imaging, diagnostics, and therapeutics, and microfluidic technologies.

Identifiers

PMID40060848
PMCPMC11886655

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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.