Sniffing the unique "Odor Print" of non-small-cell lung cancer with gold nanoparticles

Orna Barash, Nir Peled, Fred R. Hirsch, Hossam Haick

Research output: Contribution to journalArticlepeer-review

154 Scopus citations

Abstract

A highly sensitive and fast-response array of sensors based on gold nanoparticles, in combination with pattern recognition methods, can distinguish between the odor prints of non-small-cell lung cancer and negative controls with 100% accuracy, with no need for preconcentration techniques. Additionally, preliminary results indicate that the same array of sensors might serve as a better tool for understanding the biochemical source of volatile organic compounds that might occur in cancer cells and appear in the exhaled breath, as compared to traditional spectrometry techniques. The reported results provide a launching pad to initiate a bedside tool that might be able to screen for early stages of lung cancer and allow higher cure rates. In addition, such a tool might be used for the immediate diagnosis of fresh (frozen) tissues of lung cancer in operating rooms, where a dichotomic diagnosis is crucial to guide surgeons.

Original languageEnglish
Pages (from-to)2618-2624
Number of pages7
JournalSmall
Volume5
Issue number22
DOIs
StatePublished - 16 Nov 2009
Externally publishedYes

Keywords

  • Breath analysis
  • Lung cancer
  • Nanoparticles
  • Sensors
  • Volatile organic compounds

ASJC Scopus subject areas

  • Biotechnology
  • Biomaterials
  • General Chemistry
  • General Materials Science

Fingerprint

Dive into the research topics of 'Sniffing the unique "Odor Print" of non-small-cell lung cancer with gold nanoparticles'. Together they form a unique fingerprint.

Cite this