Spatio-Temporal Instabilities of Blood Flow in a Model Capillary Network

TL;DR

This study demonstrates multiple stable and unsteady blood flow configurations in a microfluidic network, challenging the assumption of unique steady states and highlighting implications for microcirculation modeling.

Contribution

It provides experimental evidence of multistability in blood flow and validates a one-dimensional advection model for microvascular networks.

Findings

Multiple blood flow configurations observed experimentally.

Good agreement between experiments and the advection model.

Implications for microcirculation and microfluidic measurements.

Abstract

We present experimental evidence of multiple blood flow configurations in a relatively simple microfluidic network under constant inlet conditions. We provide evidence of multistability and unsteady dynamics and find good agreement with a theoretical {one-dimensional advection} model for blood flow in microvascular networks{ that relies on the widely used laws for rheology and phase separation}. We discuss the ramifications for microfluidic experiments and measurements using blood and implications for in vivo microcirculation. Our findings suggest that further modeling in microvascular networks should discard the usual assumption of unique, steady-state flow solutions, with crucial consequences regarding gas, nutrient, and waste transport.