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A malaria diagnostic system based on electric impedance spectroscopy

Author(s)
Ha, Sungjae
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Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Anantha P. Chandrakasan.
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M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
Malaria caused by Plasmodium falciparum infection is one of the major threats to world health and especially to the community without proper medical care. New approach to cost-efficient, portable, miniaturized diagnostic kit is needed. This work explores electric impedance spectroscopy (EIS) on a microfluidic device as a means of malaria diagnosis. This work introduces a microfabricated probe with microfluidic channel, and a high speed impedance analyzer circuit board. Combination of microfluidic device and circuit board resulted in a small-sized EIS system for micro-particles such as human red blood cell (RBC). After invasion by the parasites, RBC undergoes physiological changes including electrical property of cytoplasm and membrane. Detection of infected RBC is demonstrated as well as differentiation of micro-beads by surface charge density using EIS-based diagnostic system. Diagnosis based on EIS has merits over other diagnostic methods since it is label-free and quantitative test and applicable to whole blood, and also the test does not need bulky optical and electrical equipments.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.
 
Cataloged from PDF version of thesis.
 
Includes bibliographical references (p. 69-71).
 
Date issued
2011
URI
http://hdl.handle.net/1721.1/66030
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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