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Point-of-Care Blood Coagulation Assay Based on Dynamic Monitoring of Blood Viscosity Using Droplet Microfluidics.

Linzhe ChenDonghao LiXinyu LiuYihan XieJieying ShanHaofan HuangXiaxia YuYudan ChenWeidong ZhengZida Li
Published in: ACS sensors (2022)
Monitoring of the coagulation function has applications in many clinical settings. Routine coagulation assays in the clinic are sample-consuming and slow in turnaround. Microfluidics provides the opportunity to develop coagulation assays that are applicable in point-of-care settings, but reported works required bulky sample pumping units or costly data acquisition instruments. In this work, we developed a microfluidic coagulation assay with a simple setup and easy operation. The device continuously generated droplets of blood sample and buffer mixture and reported the temporal development of blood viscosity during coagulation based on the color appearance of the resultant droplets. We characterized the relationship between blood viscosity and color appearance of the droplets and performed experiments to validate the assay results. In addition, we developed a prototype analyzer equipped with simple fluid pumping and economical imaging module and obtained similar assay measurements. This assay showed great potential to be developed into a point-of-care coagulation test with practical impact.
Keyphrases
  • high throughput
  • single cell
  • primary care
  • high resolution
  • machine learning
  • risk assessment
  • big data
  • artificial intelligence
  • deep learning
  • human health
  • fluorescence imaging