# A two-phase core-plasma model for microvascular blood flow: Comparative analysis of hemodynamic models

**Authors:** Maya Salame, Marianne Fenech

PMC · DOI: 10.1371/journal.pone.0327948 · PLOS One · 2026-01-02

## TL;DR

This paper introduces a new two-phase model to better understand blood flow in small vessels by capturing the behavior of red blood cells and plasma.

## Contribution

The Core-Plasma Model integrates Newtonian and non-Newtonian elements to accurately represent microvascular blood flow dynamics.

## Key findings

- The model outperforms traditional approaches in capturing velocity and shear rate profiles in vitro.
- It effectively represents the dynamic interplay between red blood cells and the cell-free layer near vessel walls.
- Results are consistent across varying flow rates, hematocrit levels, and suspending media.

## Abstract

Microcirculatory blood flow exhibits complex non-Newtonian behavior, including shear-thinning properties and the formation of a cell-free layer (CFL)—a plasma-rich region near vessel walls. While traditional rheological models such as Newtonian, Power Law, and Carreau describe certain flow characteristics, and empirical models like the double-parameter power fit have been used to capture velocity profiles, these approaches fall short in fully characterizing the dynamic interplay between red blood cells (RBCs) and plasma. This study introduces the Core-Plasma Model, a two-phase framework that integrates Newtonian and non-Newtonian elements to represent the RBC-rich core and surrounding CFL. In vitro experiments in 25 μm and 50 μm round channels across varying flow rates, hematocrit levels (5–20%), and suspending media (PBS and native plasma) demonstrate the model’s superior ability to capture velocity and shear rate profiles. The Core-Plasma Model offers a robust platform for advancing microscale hemodynamic predictions and deepening the understanding of microvascular flow dynamics.

## Full-text entities

- **Chemicals:** PBS (MESH:D007854)

## Full text

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## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12758828/full.md

## References

24 references — full list in the complete paper: https://tomesphere.com/paper/PMC12758828/full.md

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Source: https://tomesphere.com/paper/PMC12758828