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Detecting simulated patterns of lung cancer biomarkers by random network of single-walled carbon nanotubes coated with nonpolymeric organic materials.

Abstract
An array of chemiresistive random network of single-walled carbon nanotubes coated with nonpolymeric organic materials shows a high potential for diagnosis of lung cancer via breath samples. The sensors array shows excellent discrimination between the volatile organic compounds (VOCs) found in the breath of patients with lung cancer, relative to healthy controls, especially if the sensors array is preceded with either water extractor and/or preconcentrator of VOCs. The pattern compositions of the healthy and cancerous states were determined by gas-chromatography linked with mass-spectroscopy (GC-MS) analysis of real exhaled breath.
AuthorsGang Peng, Elena Trock, Hossam Haick
JournalNano letters (Nano Lett) Vol. 8 Issue 11 Pg. 3631-5 (Nov 2008) ISSN: 1530-6984 [Print] United States
PMID18839997 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Chemical References
  • Biomarkers, Tumor
  • Nanotubes, Carbon
  • Organic Chemicals
  • Polymers
Topics
  • Biomarkers, Tumor (analysis, chemistry, metabolism)
  • Computer Simulation
  • Gas Chromatography-Mass Spectrometry
  • Lung Neoplasms (diagnosis, metabolism)
  • Nanomedicine (instrumentation, methods)
  • Nanotubes, Carbon (chemistry)
  • Organic Chemicals (chemistry)
  • Polymers (chemistry)

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