Evidence map›Paper›PMID 38252981›Full record

ArticleUltrasonics sonochemistry2024

Ultra-high-speed dynamics of acoustic droplet vaporization in soft biomaterials: Effects of viscoelasticity, frequency, and bulk boiling point.

Bachir A Abeid, Mario L Fabiilli, Jonathan B Estrada, Mitra Aliabouzar

Open access · goldAbstract read
In one paragraph

Article in Ultrasonics sonochemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

13 citing papers in PubMed, 15 citations in OpenAlex.

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  13. Acoustically responsive scaffolds: Unraveling release kinetics and mechanisms for sustained, steady drug delivery.Journal of controlled release : official journal of the Controlled Release Society · 2024
    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

4 authors at 1 institution in 1 country.

Bachir A AbeidDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI USA.
Mario L FabiilliDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA; Applied Physics Program, University of Michigan, Ann Arbor, MI, USA.
Jonathan B EstradaDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI USA.
Mitra AliabouzarDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI USA; Department of Radiology, University of Michigan, Ann Arbor, MI, USA. Electronic address: aliabouz@umich.edu.
University of Michigan · US

Funding

Angiogenic growth factor delivery for vascular regeneration in critical limb ischemia using acoustically-responsive scaffoldsR01HL139656 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mario Leonardo Fabiilli · 2018 to 2026
$5.7M
NHLBI NIH HHS R01 HL139656
6 · The paper itself

Abstract

Phase-shift droplets are a highly adaptable platform for biomedical applications of ultrasound. The spatiotemporal response of phase-shift droplets to focused ultrasound above a certain pressure threshold, termed acoustic droplet vaporization (ADV), is influenced by intrinsic features (e.g., bulk boiling point) and extrinsic factors (e.g., driving frequency and surrounding media). A deep understanding of ADV dynamics is critical to ensure the robustness and repeatability of an ADV-assisted application. Here, we integrated ultra-high-speed imaging, at 10 million frames per second, and confocal microscopy for a full-scale (i.e., from nanoseconds to seconds) characterization of ADV. Experiments were conducted in fibrin-based hydrogels to mimic soft tissue environments. Effects of fibrin concentration (0.2 to 8 % (w/v)), excitation frequency (1, 2.5, and 9.4 MHz), and perfluorocarbon core (perfluoropentane, perfluorohexane, and perfluorooctane) on ADV dynamics were studied. Several fundamental parameters related to ADV dynamics, such as expansion ratio, expansion velocity, collapse radius, collapse time, radius of secondary rebound, resting radius, and equilibrium radius of the generated bubbles were extracted from the radius vs time curves. Diffusion-driven ADV-bubble growth was fit to a modified Epstein-Plesset equation, adding a material stress term, to estimate the growth rate. Our results indicated that ADV dynamics were significantly impacted by fibrin concentration, frequency, and perfluorocarbon liquid core. This is the first study to combine ultra-high-speed and confocal microscopy techniques to provide insights into ADV bubble dynamics in tissue-mimicking hydrogels.

Indexed as

FluorocarbonsAcousticsFibrinHydrogelsVolatilizationFibrinFluorocarbonsHydrogelsAcoustic droplet vaporizationBubble dynamicsHydrogelsPhase-shift dropletsUltra-high-speed imagingUltrasound

Identifiers

PMID38252981
PMCPMC10830863
OpenAlexW4390685536

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.