Label-free detection of ATP release from living astrocytes with high temporal resolution using carbon nanotube network

Yinxi Huang, Herry Gunadi Sudibya, Dongliang Fu, Renhao Xue, Xiaochen Dong, Lain Jong Li*, Peng Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

52 Scopus citations


Owing to its unique combination of electrical, physiochemical, and one-dimension structural properties, single-walled carbon nanotube (SWNT) has recently emerged as a novel nanoelectronic biosensor for biomolecular detection with extraordinary sensitivity and simple detection scheme. All the realizations so far, however, are limited to static in vitro measurement. Dynamic detection of biomolecule release from living cells which may occur in millisecond timescale has yet to be demonstrated. In the present work, SWNT network was utilized to directly interface with living neuroglial astrocytes and label-freely detect the triggered release of adenosine triphosphate (ATP) from these cells with high temporal resolution. The secreted ATP molecules diffuse into the narrow interface gap between the SWNT-net and the astrocyte, and interact with the nanotubes. Highly charged ATP molecules electrostatically modulate the SWNT conductance leading to measurable current response. This technique provides a novel platform to study ATP release and signaling which play important roles in astrocyte-neuron crosstalk and other essential cellular functions.

Original languageEnglish (US)
Pages (from-to)2716-2720
Number of pages5
JournalBiosensors and Bioelectronics
Issue number8
StatePublished - Apr 15 2009
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported by A*STAR-SERC grant (#0721010020).


  • ATP
  • Astrocytes
  • Carbon nanotubes
  • Secretion

ASJC Scopus subject areas

  • Biotechnology
  • Biophysics
  • Biomedical Engineering
  • Electrochemistry


Dive into the research topics of 'Label-free detection of ATP release from living astrocytes with high temporal resolution using carbon nanotube network'. Together they form a unique fingerprint.

Cite this