Impedance measurement platform for impedimetric biosensor
Author(s)
Kato, Gerard Bamuturaki![Thumbnail](/bitstream/handle/1721.1/100605/932223005-MIT.pdf.jpg?sequence=3&isAllowed=y)
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Alternative title
Portable impedimetric biosensor
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Joel Voldman and Brian Brandt.
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Show full item recordAbstract
Measuring proteins in blood is particularly common such as in PSA, to determine prostate function and in many other bio-applications. Today this process is inconveniencing in that it requires a lot of blood from the patients for tests to be made. Furthermore it is time consuming and expensive since samples are transferred to a central lab where tests are carried out on optical assays. Using electrical read out methods several measurements can be multiplexed and a differential measurements made. With a differential measurement the precision of the system is improved by cancelling out common mode bio-chemical noise. The multiplexed measurement enables measurement of several analytes. Using the embedded system MAX32600, an electrical impedance meter was designed that measures three impedances simultaneously with accuracy range of up-to 1% and precision of 0.2% of the actual impedance measured from an Impedance analyzer.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Title as it appears in MIT Commencement Exercises program, June 5, 2015: Portable impedimetric biosensor. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 64-65).
Date issued
2015Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.