This website uses cookies to give you the best user experience. If you continue
without changing your settings we'll assume you are happy to receive all RSC cookies.
You can change your cookie settings by navigating to our Privacy and Cookies page and following the instructions. These instructions
are also obtainable from the privacy link at the bottom of any RSC page.
Nano-Electronics and Thin Film Lab, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
E-mail: mohajer@ut.ac.ir
; Fax: +98-21-88013201
; Tel: +98-21-61114905
b
Nanomedicine and Tissue Engineering Research Center, Shahid Beheshti University of Medical Science, Tehran, Iran
Lab Chip, 2012,12, 1183-1190
DOI:
10.1039/C2LC21028B
Received
24 Oct 2011,
Accepted
04 Jan 2012
First published online
31 Jan 2012
A novel vertically aligned carbon nanotube based electrical cell impedance sensing biosensor (CNT-ECIS) was demonstrated for the first time as a more rapid, sensitive and specific device for the detection of cancer cells. This biosensor is based on the fast entrapment of cancer cells on vertically aligned carbon nanotube arrays and leads to mechanical and electrical interactions between CNT tips and entrapped cell membranes, changing the impedance of the biosensor. CNT-ECIS was fabricated through a photolithography process on Ni/SiO2/Si layers. Carbon nanotube arrays have been grown on 9 nm thick patterned Ni microelectrodes by DC-PECVD. SW48 colon cancer cells were passed over the surface of CNT covered electrodes to be specifically entrapped on elastic nanotube beams. CNT arrays act as both adhesive and conductive agents and impedance changes occurred as fast as 30 s (for whole entrapment and signaling processes). CNT-ECIS detected the cancer cells with the concentration as low as 4000 cells cm−2 on its surface and a sensitivity of 1.7 × 10−3 Ω cm2. Time and cell efficiency factor (TEF and CEF) parameters were defined which describe the sensor's rapidness and resolution, respectively. TEF and CEF of CNT-ECIS were much higher than other cell based electrical biosensors which are compared in this paper.
Fetching data from CrossRef. This may take some time to load.