Sniffing the unique "odor print" of non-small-cell lung cancer with gold nanoparticles.
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.
Barash
Orna
O
Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 32000, Israel.
Peled
Nir
N
Hirsch
Fred R
FR
Haick
Hossam
H
D002289:Carcinoma, Non-Small-Cell Lung / Q000737:chemistry* / Q000175:diagnosis*; D045744:Cell Line, Tumor; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D008401:Gas Chromatography-Mass Spectrometry / Q000379:methods*; D006046:Gold; D006801:Humans; D053758:Nanoparticles; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D055549:Volatile Organic Compounds / Q000378:metabolism*
D055549:Volatile Organic Compounds; D006046:Gold
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