Chang Yii-Nuoh, Yao Da-Jeng
Institute of NanoEngineering and MicroSystems, National Tsing Hua University, Hsinchu City 300, Taiwan.
Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu City 300, Taiwan.
Bioengineering (Basel). 2024 Dec 20;11(12):1298. doi: 10.3390/bioengineering11121298.
The incidence of stroke is on the rise globally. This affects one in every four individuals each year, underscoring the urgent need for early warning and prevention systems. The existing research highlights the significance of monitoring blood viscosity in stroke risk evaluations. However, the current methods lack the precision to measure viscosity under low shear rate conditions (<100 s⁻¹), which are observed during pulsatility flow. This study addresses this gap by introducing a novel microfluidic platform designed to measure blood viscosity with high precision under pulsatility flow conditions. The systolic blood viscosity (SBV) and diastolic blood viscosity (DBV) can be differentiated and evaluated by using this system. The non-Newtonian behavior of blood is captured across specific shear rate conditions. The platform employs a meticulously designed microarray to simulate the variations in blood viscosity during pulsation within blood vessels.The results demonstrate an impressive accuracy of 95% and excellent reproducibility when compared to traditional viscometers and rheometers and are within the human blood viscosity range of 1-10 cP. This monitoring system holds promise as a valuable addition to stroke risk evaluation methods, with the potential to enhance prediction accuracy.
全球范围内中风的发病率正在上升。这每年影响着每四个人中的一个,凸显了对早期预警和预防系统的迫切需求。现有研究强调了在中风风险评估中监测血液粘度的重要性。然而,当前的方法在测量低剪切率条件(<100 s⁻¹)下的粘度时缺乏精度,而这种条件在脉动血流中会出现。本研究通过引入一种新型微流体平台来解决这一差距,该平台旨在在脉动血流条件下高精度地测量血液粘度。通过使用该系统,可以区分和评估收缩期血液粘度(SBV)和舒张期血液粘度(DBV)。在特定的剪切率条件下捕捉血液的非牛顿行为。该平台采用精心设计的微阵列来模拟血管内脉动期间血液粘度的变化。与传统粘度计和流变仪相比,结果显示出95%的惊人准确率和出色的重现性,且在人体血液粘度范围1-10厘泊内。作为中风风险评估方法的一个有价值补充,这个监测系统有望提高预测准确性。