Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


Dissertation_Final_Fan.pdf (4.22 MB)

ETD Abstract Container

Abstract Header

Multiplexed microfluidic sensor for the cell, cell secretome, and particulate matter detection

Liu, Fan
http://orcid.org/0000-0001-8827-2278
http://rave.ohiolink.edu/etdc/view?acc_num=akron1502790181133695

Abstract Details

2017, Doctor of Philosophy, University of Akron, Mechanical Engineering.
Multiplexed detection of the cell, cell secretome, and particulate matter and have broad applications in disease diagnosis, environmental monitoring, stem cell research and drug screening. Accurate identification and counting of cells can dramatically improve early disease diagnosis, facilitate mass production of therapeutic cells, and accelerate new drug discovery. On the other hand, cell secretome that contains protein biomarkers plays an important role in cell migration, cell signaling, and communication. Analysis of the cell secretome is a vital task to study disease progression, guide molecularly targeted therapy, and evaluate therapeutic response. In addition, airborne particulate matter can cause serious adverse health effects. Rapid and accurate detection of microparticles (e.g. polystyrene particles, airborne particulate matter) is vital for evaluating pollution, as well as validating the detection system of cells/biomarker. In this dissertation, I first demonstrated a target cell detection method based on the magnetic bead assay and a two stage micro Coulter counter. The device can not only accurately measure the size distribution and concentration of cells, but also detect specific target cells from the average transit time delay of a cell population. Next, to improve the detection resolution from population level to the single cell level, an in situ single cell detection device is demonstrated. The device can measure two consecutive pulses generated by the same cell, such that single target cell can be identified in situ and the exact target cell number can be counted. Second, I demonstrated a high sensitivity cell secretome detection method using competitive immuno-aggregation and a micro Coulter counter. A standard curve was achieved for detecting the VEGF concentrations range from 0.01 to 100 ng/mL. Also, endogenous VEGF samples, collected from hMSC conditioned medium at different incubation times were tested on the device. Comparable results were achieved from the parallel tests via commercial ELISA and this assay. Finally, a multichannel Coulter counter for airborne particulate matter measurement is demonstrated. The collection efficiency was demonstrated to be 94%, and accurate detection results of microparticles size distribution and concentration were obtained from the multichannel Coulter counter.
Jiang Zhe (Advisor)
Francis Loth (Committee Member)
Shengyong Wang (Committee Member)
Ge Zhang (Committee Member)
Yi Pang (Committee Member)
169 p.
Biomedical Engineering; Engineering; Mechanical Engineering
Microfluidic; Coulter counter; Resistive pulse sensing; Cell detection; Cell secretome; Magnetic bead assay; Aggregation; Biosensor

Recommended Citations

Citations

  • Liu, F. (2017). Multiplexed microfluidic sensor for the cell, cell secretome, and particulate matter detection [Doctoral dissertation, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1502790181133695

    APA Style (7th edition)

  • Liu, Fan. Multiplexed microfluidic sensor for the cell, cell secretome, and particulate matter detection. 2017. University of Akron, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1502790181133695.

    MLA Style (8th edition)

  • Liu, Fan. "Multiplexed microfluidic sensor for the cell, cell secretome, and particulate matter detection." Doctoral dissertation, University of Akron, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1502790181133695

    Chicago Manual of Style (17th edition)

akron1502790181133695
212
© 2017, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.