Evidence map›Paper›PMID 42300627›Full record

ArticleSoft matter2026

The cocktail method: influence of microbubble shell homogeneity on acoustic behavior and stability.

Pascal Poc, Giulia Guerriero, Johannes Büchler, Tim Grossrieder, Marco Cattaneo, Gonzalo Collado-Lara, Nathan Blanken, Ines Oberhuber, Justine Kusch, Outi Supponen and 1 more

Abstract read
In one paragraph

Article in Soft matter, 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

11 authors.

Pascal PocInstitute of Robotics and Intelligent Systems, Department of Health Sciences and Technology, ETH Zurich, Gloriastrasse 37/39, 8092 Zurich, Switzerland. simone.schuerle@hest.ethz.ch.ORCID http://orcid.org/0000-0001-8137-4853
Giulia GuerrieroInstitute of Fluid Dynamics, Department of Mechanical and Process Engineering, ETH Zürich, Sonneggstrasse 3, 8092 Zürich, Switzerland.
Johannes BüchlerInstitute of Robotics and Intelligent Systems, Department of Health Sciences and Technology, ETH Zurich, Gloriastrasse 37/39, 8092 Zurich, Switzerland. simone.schuerle@hest.ethz.ch.ORCID http://orcid.org/0000-0002-1955-3962
Tim GrossriederInstitute of Robotics and Intelligent Systems, Department of Health Sciences and Technology, ETH Zurich, Gloriastrasse 37/39, 8092 Zurich, Switzerland. simone.schuerle@hest.ethz.ch.ORCID http://orcid.org/0009-0009-8050-4834
Marco CattaneoInstitute of Fluid Dynamics, Department of Mechanical and Process Engineering, ETH Zürich, Sonneggstrasse 3, 8092 Zürich, Switzerland.ORCID http://orcid.org/0000-0002-1581-4280
Gonzalo Collado-LaraInstitute of Fluid Dynamics, Department of Mechanical and Process Engineering, ETH Zürich, Sonneggstrasse 3, 8092 Zürich, Switzerland.ORCID http://orcid.org/0000-0002-1010-6242
Nathan BlankenInstitute of Robotics and Intelligent Systems, Department of Health Sciences and Technology, ETH Zurich, Gloriastrasse 37/39, 8092 Zurich, Switzerland. simone.schuerle@hest.ethz.ch.ORCID http://orcid.org/0000-0002-5204-6313
Ines OberhuberInstitute of Robotics and Intelligent Systems, Department of Health Sciences and Technology, ETH Zurich, Gloriastrasse 37/39, 8092 Zurich, Switzerland. simone.schuerle@hest.ethz.ch.ORCID http://orcid.org/0009-0000-4093-2716
Justine KuschScopeM, Scientific Center of Optical and Electron Microscopy, ETH Zurich, Otto-Stern-Weg 3, 8093 Zürich, Switzerland.
Outi SupponenInstitute of Fluid Dynamics, Department of Mechanical and Process Engineering, ETH Zürich, Sonneggstrasse 3, 8092 Zürich, Switzerland.ORCID http://orcid.org/0000-0001-6738-0675
Simone SchuerleInstitute of Robotics and Intelligent Systems, Department of Health Sciences and Technology, ETH Zurich, Gloriastrasse 37/39, 8092 Zurich, Switzerland. simone.schuerle@hest.ethz.ch.ORCID http://orcid.org/0000-0001-5693-1603

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influence of lipid shell organization on the acoustic behavior of microbubbles (MBs) has become a focal point of ultrasound research. Recent studies have demonstrated that even monodisperse MBs from the same batch can exhibit profoundly different acoustic responses. As high-resolution ultrasound imaging and MB-assisted drug delivery continue to advance, this heterogeneity may compromise performance, causing artifacts and reducing localization accuracy. This study investigates phospholipid organization on the MB surface during both formation and dynamic volumetric changes. Using a panel of membrane probes and labeled lipids in combination with high-resolution confocal microscopy, we characterize lipid surface dynamics, phase behavior, and micro-viscosity. We introduce the 'cocktail method', a straightforward thermal procedure designed to produce seemingly domainless MBs and evaluate how these structural modifications influence acoustic behavior. Our results identify distinct characteristics among individual lipid components during shell formation and provide a qualitative assessment of viscosity within specific lipid phases during expansion and compression. Collectively, these findings reveal that lipid organization impacts shell elasticity and acoustic behavior. Furthermore, we show that the intrinsic physicochemical properties of the lipids DSPC and DSPE-PEG5000 drive an inevitable degree of phase separation that persists despite thermal quenching. This study aims to improve our understanding of the relationship between microbubble lipid architecture and its impact on shell viscoelasticity, stability, and acoustic behavior, ultimately aiding the development of predictable microbubbles for advanced medical applications.

Indexed as

AcousticsMicrobubblesPhase SeparationPhosphatidylcholinesPolyethylene GlycolsViscosity1,2-distearoyllecithinPhosphatidylcholinesPolyethylene Glycols

Identifiers

PMID42300627
PMCPMC13254759

What OpenQuestion holds

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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.