Mixture theory modeling for characterizing solute transport in breast tumor tissues
Sreyashi Chakraborty, Alican Ozkan, Marissa Nichole Rylander, Wendy, Woodward, Pavlos Vlachos

TL;DR
This study models solute transport in breast tumor tissues using mixture theory, revealing how vascular configurations and flow directions influence nanoparticle distribution and concentration peaks, with implications for therapy timing.
Contribution
It introduces a mixture theory-based model for solute transport in tumor tissues, analyzing effects of vascular arrangements and flow on nanoparticle distribution and identifying a universal concentration peak time.
Findings
Presence of additional vessels reduces extravascular concentration.
Flow direction affects nanoparticle distribution and trapping.
A universal non-dimensional time scale for peak concentration is identified.
Abstract
Solute transport is modeled using mixture theory, applied to the nanoparticle accumulation and concentration decay in the tissue space for different vascular configurations. A comparison of a single capillary configuration (SBC) with two parallel cylindrical blood vessels (2 BC) and a lymph vessel parallel to a blood vessel (BC_LC) embedded in the tissue cylinder is performed for five solute molecular weights between 0.1 kDa and 70 kDa. We found that the presence of a second capillary reduces the extravascular concentration compared to a single capillary and this reduction is enhanced by the presence of a lymph vessel. Co-current flow direction between two adjacent vessels led to nonhomogeneous nanoparticle distribution for larger particle sizes in the tissue space, while smaller particles (0.1 kDa and 3 kDa) showed the propensity to get trapped locally in the tissue during…
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Taxonomy
Topics3D Printing in Biomedical Research · Nanoparticle-Based Drug Delivery · Microfluidic and Capillary Electrophoresis Applications
