Non-invasive prediction of lung cancer histological types through exhaled breath analysis by UV-irradiated electronic nose and GC/QTOF/MS

Sensors and Actuators B: Chemical(2020)

Cited 45|Views12
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Abstract
•New e-nose sensing technique based on UV-irradiated sensors for breath analysis.•Non-invasive diagnosis of lung cancer and its histology via breath biomarkers.•GC/QTOF/MS has been detected five new biomarkers in breath of lung cancer patients.•E-nose has successfully discriminated between lung cancer and healthy subjects.•Data fusion of e-nose and GC/QTOF/MS enhanced the discrimination between LC types.
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Key words
Breath analysis,Lung cancer,Histology,GC/QTOF/MS,Electronic nose,UV-irradiated WO3 sensors
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