# A Microfluidic Platform for Viscosity Testing of Non-Newtonian Fluids in Engineering and Biomedical Applications

**Authors:** Yii-Nuoh Chang, Da-Jeng Yao

PMC · DOI: 10.3390/mi17020201 · 2026-02-01

## TL;DR

A new microfluidic platform improves viscosity testing for non-Newtonian fluids, useful in biomedical and industrial applications.

## Contribution

The platform extends viscosity measurement range and improves accuracy using a flow stabilizer design.

## Key findings

- The platform achieved over 95% viscosity accuracy with low sample volume error.
- The N5 design reduced velocity distribution standard deviation by over 50% in simulations.
- The chip successfully tracked viscosity changes during milk acidification and gelation.

## Abstract

This study presents a microfluidic platform for non-Newtonian fluid viscosity sensing, integrating a high-flow-rate flow field stabilizer to mitigate flow uniformity limitations under elevated flow rate conditions. Building upon an established dual-phase laminar flow principle that determines relative viscosity via channel occupancy, this research aimed to extend the measurable viscosity range from 1–10 cP to 1–50 cP, which covers viscosity regimes relevant to biomedical fluids, dairy products during gelation, and low-to-moderate viscosity industrial liquids. A flow stabilizer was developed through computational fluid dynamics simulations, optimizing three key design parameters: blocker position, porosity, and the number of outlet paths. The N5 design proved most effective, providing over 50% reduction in standard deviation for asymmetric velocity distribution in high-flow simulations. The system was validated using simulated blood and dairy samples, achieving over 95% viscosity accuracy with less than 5% sample volume error compared to conventional viscometers. The chip successfully captured viscosity transitions during milk acidification and gelation, demonstrating excellent agreement with standard measurements. This low-volume, high-precision platform offers promising potential for applications in food engineering, biomedical diagnostics, and industrial fluid monitoring, enhancing microfluidic rheometry capabilities.

## Full-text entities

- **Diseases:** injury to (MESH:D014947)
- **Chemicals:** polydimethylsiloxane (MESH:C013830), GDL (MESH:C010730), PDMS (-), silicon (MESH:D012825)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12943604/full.md

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Source: https://tomesphere.com/paper/PMC12943604