Volume 3, 2024

Nonwoven-fabric-based microfluidic devices for solution viscosity measurements

Abstract

Microfluidic chips designed to measure viscosity with extremely small amounts of liquids are expected to examine biological fluids, such as for the prediction of disease states and stress assessment, and for the evaluation of the physical properties of novel synthetic materials. However, these devices typically require sample volumes of several tens of μL or more, which has limitations when collecting biological samples from individuals nearly non-invasively. In this study, we fabricated a flow channel on a nonwoven fabric substrate with tailored hydrophilic and hydrophobic properties to enable viscosity measurements with the small-volume flow of aqueous solutions, such as 3 μL of saline. By measuring the electrical conductivity of the liquid using comb-shaped printed electrodes in contact with the flow path, we quantified the time and distance of liquid flow driven by capillary action to estimate solution viscosity. Using a mixture of glycerol and saline solution with varying viscosities, while maintaining a constant ion concentration, we demonstrated the capability to assess the relative viscosity of solutions. This was achieved by evaluating the correlation coefficient between the flow time and distance, and the net electrical conductivity, which is influenced by the viscosity and ion concentration of the solutions. This study lays the groundwork for developing a low-cost technique to measure the viscosity of solutions with a few μL, offering potential for routine health monitoring and disease prevention.

Graphical abstract: Nonwoven-fabric-based microfluidic devices for solution viscosity measurements

Supplementary files

Article information

Article type
Paper
Submitted
05 Jun 2024
Accepted
05 Aug 2024
First published
16 Aug 2024
This article is Open Access
Creative Commons BY-NC license

Sens. Diagn., 2024,3, 1551-1561

Nonwoven-fabric-based microfluidic devices for solution viscosity measurements

M. O. Uno, M. Omori and K. Sakamoto, Sens. Diagn., 2024, 3, 1551 DOI: 10.1039/D4SD00188E

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