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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Sensors and Materials, Volume 29, Number 3 (2017)
Copyright(C) MYU K.K.
pp. 293-301
S&M1321 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2017.1405
Published: March 15, 2017

Frequency-Dependent Impedance Analysis for Discriminating Cancer and Normal Cells Using Microchamber Array [PDF]

YoonHee Chang, Jiyoon Bu, and Young-Ho Cho

(Received May 13, 2016; Accepted October 26, 2016)

Keywords: single cell characterization, cancer cell discrimination, cell impedance analysis

We present an impedance monitoring microchamber array for discriminating normal and cancer cells, the top layer of which is covered to form a stable contact between the cells and the electrodes in each microchamber. Compared with devices in previous works, the present device is capable of maintaining long-term cell-to-electrode contact, simply by loading the cells on the electrodes placed in each microchamber and covering the layer, thereby achieving frequency-dependent impedance analysis without additional apparatus. By comparing the impedance response of two human lung cancer cell lines with a normal lung cell line, we verified that the cancer cells are clearly distinguishable against the normal cells by showing both lower resistance (241 vs 271 kΩ) and capacitance (3.13 vs 7.01 nF) in the frequency range of 200 Hz to 2 MHz. Simplicity of cell loading and the capability for determining characteristics of the cancer cells were demonstrated using the device.

Corresponding author: Young-Ho Cho


Cite this article
YoonHee Chang, Jiyoon Bu, and Young-Ho Cho, Frequency-Dependent Impedance Analysis for Discriminating Cancer and Normal Cells Using Microchamber Array, Sens. Mater., Vol. 29, No. 3, 2017, p. 293-301.



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