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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Barash, Orna Peled, Nir Hirsch, Fred R. Haick, Hossam |
| Description | Country affiliation: Israel Author Affiliation: Barash O ( Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 32000, Israel.) |
| 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. |
| File Format | HTM / HTML |
| ISSN | 16136810 |
| e-ISSN | 16136829 |
| DOI | 10.1002/smll.200900937 |
| Journal | Small |
| Issue Number | 22 |
| Volume Number | 5 |
| Language | English |
| Publisher | Wiley-VCH |
| Publisher Date | 2009-11-01 |
| Publisher Place | Germany |
| Access Restriction | Open |
| Subject Keyword | Discipline Nanotechnology Carcinoma, Non-small-cell Lung Chemistry Diagnosis Diagnosis, Computer-assisted Gas Chromatography-mass Spectrometry Nanoparticles Volatile Organic Compounds Metabolism Cell Line, Tumor Pattern Recognition, Automated Reproducibility Of Results Sensitivity And Specificity Evaluation Studies Research Support, Non-u.s. Gov't |
| Content Type | Text |
| Resource Type | Article |
| Subject | Chemistry Nanoscience and Nanotechnology Medicine Biomaterials Engineering Biotechnology |
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