Shell viscosity estimation of lipid-coated microbubbles.


Journal

Soft matter
ISSN: 1744-6848
Titre abrégé: Soft Matter
Pays: England
ID NLM: 101295070

Informations de publication

Date de publication:
09 Aug 2023
Historique:
medline: 10 8 2023
pubmed: 25 7 2023
entrez: 25 7 2023
Statut: epublish

Résumé

Understanding the shell rheology of ultrasound contrast agent microbubbles is vital for anticipating their bioeffects in clinical practice. Past studies using sophisticated acoustic and optical techniques have made enormous progress in this direction, enabling the development of shell models that adequately reproduce the nonlinear behaviour of the coated microbubble under acoustic excitation. However, there have also been puzzling discrepancies and missing physical explanations for the dependency of shell viscosity on the equilibrium bubble radius, which demands further experimental investigations. In this study, we aim to unravel the cause of such behaviour by performing a refined characterisation of the shell viscosity. We use ultra-high-speed microscopy imaging, optical trapping and wide-field fluorescence to accurately record the individual microbubble response upon ultrasound driving across a range of bubble sizes. An advanced model of bubble dynamics is validated and employed to infer the shell viscosity of single bubbles from their radial time evolution. The resulting values reveal a prominent variability of the shell viscosity of about an order of magnitude and no dependency on the bubble size, which is contrary to previous studies. We find that the method called bubble spectroscopy, which has been used extensively in the past to determine the shell viscosity, is highly sensitive to methodology inaccuracies, and we demonstrate through analytical arguments that the previously reported unphysical trends are an artifact of these biases. We also show the importance of correct bubble sizing, as errors in this aspect can also lead to unphysical trends in shell viscosity, when estimated through a nonlinear fitting from the time response of the bubble.

Identifiants

pubmed: 37490014
doi: 10.1039/d3sm00871a
doi:

Substances chimiques

Contrast Media 0
Lipids 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5925-5941

Auteurs

Marco Cattaneo (M)

Institute of Fluid Dynamics, Department of Mechanical and Process Engineering, ETH Zürich, Sonneggstrasse 3, 8092 Zürich, Switzerland. mcattaneo@ethz.ch.

Outi Supponen (O)

Institute of Fluid Dynamics, Department of Mechanical and Process Engineering, ETH Zürich, Sonneggstrasse 3, 8092 Zürich, Switzerland. mcattaneo@ethz.ch.

Articles similaires

Humans Female Male Retrospective Studies Middle Aged
Sound Neural Networks, Computer Acoustics Algorithms Humans

Acoustic cognitive map-based navigation in echolocating bats.

Aya Goldshtein, Xing Chen, Eran Amichai et al.
1.00
Animals Chiroptera Echolocation Spatial Navigation Homing Behavior
Animals Robotics Algorithms Sperm Whale Vocalization, Animal

Classifications MeSH