Microsystem Technologies

, Volume 24, Issue 4, pp 2063–2070 | Cite as

Microfluidic blood-plasma separation chip using channel size filtration effect

  • Ju-Nan Kuo
  • Bo-Yu Lin
Technical Paper


Blood separation is an essential first step when performing blood tests for clinical diagnosis purposes. Such tests are increasingly performed using microfluidic systems due to their rapid response time, low cost and potential for automated operation. This study proposes a simple microfluidic chip comprising a straight microchannel and a grating-type plasma filtration microchannel for the automatic separation of plasma from whole human blood for further biochemical detection. In the proposed device, the whole blood sample is introduced into the microfluidic chip by means of capillary forces and the plasma is then extracted from the whole blood via a size exclusion effect induced in the plasma filtration channel. The experimental results show that the plasma is extracted with an average flow rate of 0.01 μL/s. Moreover, the plasma collected in the outlet reservoirs has a residual cell concentration of less than 0.1%. The feasibility of the proposed device for clinical applications is demonstrated by means of creatinine detection tests with sample concentrations ranging from 0.11 to 1.78 mg/dL (10–160 μM) and prothrombin time (PT) tests with blood samples drawn from 20 healthy individuals. The experimental results show that the device has a detection sensitivity and degree of linearity of 12.68 count/μM and 95.38%, respectively. Moreover, the mean coagulation time in the PT tests is equal to approximately 13.3 s.



The authors gratefully acknowledge the financial support provided to this study by the National Science Council of Taiwan under Grant no. NSC 104-2221-E-150-056. In addition, the access provided to fabrication equipment by the Common Lab for Micro/Nano Science and Technology of National Formosa University is greatly appreciated.


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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Department of Automation EngineeringNational Formosa UniversityYunlinTaiwan

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