| Literature DB >> 19705367 |
Orna Barash1, Nir Peled, Fred R Hirsch, Hossam Haick.
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.Entities:
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Year: 2009 PMID: 19705367 PMCID: PMC3368377 DOI: 10.1002/smll.200900937
Source DB: PubMed Journal: Small ISSN: 1613-6810 Impact factor: 13.281