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Massachusetts Institute of Technology

A malaria diagnostic system based on electric impedance spectroscopy

Abstract

dc:description.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.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ha, Sungjae
Advisor dc:contributor.advisor
  • Anantha P. Chandrakasan.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/66030
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/66030

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Ha, Sungjae. A malaria diagnostic system based on electric impedance spectroscopy. Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66030