Parsimonious inertial cavitation rheometry <i>via</i> bubble collapse time

The rapid and accurate characterization of soft, viscoelastic materials at high strain rates is of interest in biological and engineering applications. Examples include assessing the extent of tissue ablation during histotripsy procedures and developing injury criteria for the mitigation of blast injuries. The inertial microcavitation rheometry technique (IMR, J. B. Estrada, C. Barajas, D. L. Henann, E. Johnsen and C. Franck, <i>J. Mech. Phys. Solids</i>, 2018, <b>112</b>, 291-317) allows for the characterization of local viscoelastic properties at strain rates up to 10<sup>8</sup> s<sup>-1</sup>. However, IMR typically relies on bright-field videography of a sufficiently translucent sample at ≥1 million frames per second and a simulation-dependent fit optimization process that can require hours of post-processing. Here, we present an improved IMR-style technique, called parsimonious inertial microcavitation rheometry (pIMR), that parsimoniously characterizes surrounding viscoelastic materials. The pIMR approach uses experimental advancements to estimate the time to first collapse of the laser-induced cavity within approximately 20 ns and a theoretical energy balance analysis that yields an approximate collapse time based on the material viscoelasticity parameters. The pIMR method closely matches the accuracy of the original IMR procedure while decreasing the computational cost from hours to seconds and potentially reducing reliance on ultra-high-speed videography. This technique can enable nearly real-time characterization of soft, viscoelastic hydrogels and biological materials with a numerical criterion assessing the correct choice of model. We illustrate the efficacy of the technique on batches of tens of experiments for both soft hydrogels and fluids.

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Publication Details

Journal
Soft Matter
Published
2025-01-01
DOI
https://doi.org/10.1039/d5sm00397k
Citations
4
Primary Topic
Rheology and Fluid Dynamics Studies
Type
article
Field-Weighted Citation Impact
2.87

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article

Parsimonious inertial cavitation rheometry via bubble collapse time

Jin Yang, Jonathan B. Estrada, Zhiren Zhu, Mauro Rodriguez et al.
4 citations
Soft Matter
Rheology and Fluid Dynamics Studies
2.87
article

Parsimonious inertial cavitation rheometry via bubble collapse time

Jin Yang, Jonathan B. Estrada, Zhiren Zhu, Mauro Rodriguez, Bachir A. Abeid, Sawyer Remillard, Danila Frolkin, Spencer H. Bryngelson
article en
4 citations

Abstract

The rapid and accurate characterization of soft, viscoelastic materials at high strain rates is of interest in biological and engineering applications. Examples include assessing the extent of tissue ablation during histotripsy procedures and developing injury criteria for the mitigation of blast injuries. The inertial microcavitation rheometry technique (IMR, J. B. Estrada, C. Barajas, D. L. Henann, E. Johnsen and C. Franck, <i>J. Mech. Phys. Solids</i>, 2018, <b>112</b>, 291-317) allows for the characterization of local viscoelastic properties at strain rates up to 10<sup>8</sup> s<sup>-1</sup>. However, IMR typically relies on bright-field videography of a sufficiently translucent sample at ≥1 million frames per second and a simulation-dependent fit optimization process that can require hours of post-processing. Here, we present an improved IMR-style technique, called parsimonious inertial microcavitation rheometry (pIMR), that parsimoniously characterizes surrounding viscoelastic materials. The pIMR approach uses experimental advancements to estimate the time to first collapse of the laser-induced cavity within approximately 20 ns and a theoretical energy balance analysis that yields an approximate collapse time based on the material viscoelasticity parameters. The pIMR method closely matches the accuracy of the original IMR procedure while decreasing the computational cost from hours to seconds and potentially reducing reliance on ultra-high-speed videography. This technique can enable nearly real-time characterization of soft, viscoelastic hydrogels and biological materials with a numerical criterion assessing the correct choice of model. We illustrate the efficacy of the technique on batches of tens of experiments for both soft hydrogels and fluids.

Soft MatterVol. 21(34)
Georgia Institute of Technology (US), Brown University (US), University of Michigan (US), The University of Texas at Austin (US)
Office of Naval Research, Division of Civil, Mechanical and Manufacturing Innovation, Army Research Office
Openalex Percentile: Top 9%
Rheology and Fluid Dynamics Studies
2.87
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