Composites of Carbon Nanotubes and Non-Polymeric Materials for Diagnosing Lung Cancer via Breath Samples

We show here that an array of random network of carbon nanotubes coated with non-polymeric organic materials and conjugated with pattern recognition algorithms has a high potential for diagnosis of lung cancer via breath samples. The results indicate that the sensors array allow 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 pre-concentrator of VOCs.