NDLI: Method to quantify the effect of passivation layer in bio-impedance sensors

Content Provider	IEEE Xplore Digital Library
Author	Narayanan, S. Nikkhah, M. Strobl, J.S. Agah, M.
Copyright Year	2009
Description	Author affiliation: Virginia Tech MEMS Laboratory, The Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24060 USA (Narayanan, S.) \|\| Edward Via Virginia College of Osteopathic Medicine, Blacksburg, VA, 24060 (Strobl, J.S.) \|\| Mechanical Engineering Department and also Virginia Tech MEMS Laboratory (Nikkhah, M.) \|\| Virginia Tech MEMS Laboratory, Virginia Tech, Blacksburg, VA, 24061 (Agah, M.)
Abstract	This paper investigates the effect of the passivation layer in a bio-impedance sensor. A sensor with 20 sensing sites has been designed, fabricated using a simple two mask process and tested. We have cultured in-vivo MDA-MB231 mammary cells and recorded the impedance from 1kHz to 1MHz. Processing the recorded data brings to light the drawback of the passivation layer which results in a drop in sensitivity of 13%. Simulation results based on parameters extracted from measurements re-affirm the drop in sensitivity. Thus, the passivation layer needs to be provided a special consideration in future design of the sensor as it can modify the response of the sensor.
Starting Page	3783
Ending Page	3786
File Size	1112814
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5334389
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Passivation Biosensors Impedance measurement Electrodes Micromechanical devices Surface impedance Parasitic capacitance Area measurement Electric variables measurement Cells (biology)
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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