Non-invasive detection of cellular bioelectricity based on carbon nanotube devices for high-throughput drug screening

Non-invasive detection of cellular bioelectricity based on carbon nanotube devices for high-throughput drug screening

Nanoelectronic biosensors based on readily fabricated networks of single-walled carbon nanotubes (SWNT-net) were used to non-invasively detect cellular bioelectrical signals. This nanotube approach promises applications in both fundamental research and high-throughput drug screening targeting on ion...

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Main Authors: Pui, Tze Sian, Sudibya, Herry Gunadi, Luan, Xuena, Zhang, Qing, Ye, Feng, Huang, Yinxi, Chen, Peng
Other Authors: School of Chemical and Biomedical Engineering
Format: Article
Language:English
Published: 2012
Subjects:
DRNTU::Engineering::Bioengineering
Online Access:https://hdl.handle.net/10356/94304
http://hdl.handle.net/10220/7495
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-943042020-03-07T11:35:34Z Non-invasive detection of cellular bioelectricity based on carbon nanotube devices for high-throughput drug screening Pui, Tze Sian Sudibya, Herry Gunadi Luan, Xuena Zhang, Qing Ye, Feng Huang, Yinxi Chen, Peng School of Chemical and Biomedical Engineering DRNTU::Engineering::Bioengineering Nanoelectronic biosensors based on readily fabricated networks of single-walled carbon nanotubes (SWNT-net) were used to non-invasively detect cellular bioelectrical signals. This nanotube approach promises applications in both fundamental research and high-throughput drug screening targeting on ion channels. 2012-02-02T05:58:37Z 2019-12-06T18:53:53Z 2012-02-02T05:58:37Z 2019-12-06T18:53:53Z 2010 2010 Journal Article Pui, T.-S., Sudibya, H. G., Luan, X., Zhang, Q., Ye, F., Huang, Y., et al. (2010). Non-invasive detection of cellular bioelectricity based on carbon nanotube devices for high-throughput drug screening. Advanced Materials, 22, 3199–3203. 0935-9648 https://hdl.handle.net/10356/94304 http://hdl.handle.net/10220/7495 10.1002/adma.201000548 151811 en Advanced materials © 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim 5 p.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Bioengineering
spellingShingle DRNTU::Engineering::Bioengineering
Pui, Tze Sian
Sudibya, Herry Gunadi
Luan, Xuena
Zhang, Qing
Ye, Feng
Huang, Yinxi
Chen, Peng
Non-invasive detection of cellular bioelectricity based on carbon nanotube devices for high-throughput drug screening
description Nanoelectronic biosensors based on readily fabricated networks of single-walled carbon nanotubes (SWNT-net) were used to non-invasively detect cellular bioelectrical signals. This nanotube approach promises applications in both fundamental research and high-throughput drug screening targeting on ion channels.
author2 School of Chemical and Biomedical Engineering
author_facet School of Chemical and Biomedical Engineering
Pui, Tze Sian
Sudibya, Herry Gunadi
Luan, Xuena
Zhang, Qing
Ye, Feng
Huang, Yinxi
Chen, Peng
format Article
author Pui, Tze Sian
Sudibya, Herry Gunadi
Luan, Xuena
Zhang, Qing
Ye, Feng
Huang, Yinxi
Chen, Peng
author_sort Pui, Tze Sian
title Non-invasive detection of cellular bioelectricity based on carbon nanotube devices for high-throughput drug screening
title_short Non-invasive detection of cellular bioelectricity based on carbon nanotube devices for high-throughput drug screening
title_full Non-invasive detection of cellular bioelectricity based on carbon nanotube devices for high-throughput drug screening
title_fullStr Non-invasive detection of cellular bioelectricity based on carbon nanotube devices for high-throughput drug screening
title_full_unstemmed Non-invasive detection of cellular bioelectricity based on carbon nanotube devices for high-throughput drug screening
title_sort non-invasive detection of cellular bioelectricity based on carbon nanotube devices for high-throughput drug screening
publishDate 2012
url https://hdl.handle.net/10356/94304
http://hdl.handle.net/10220/7495
_version_ 1681036064616087552

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