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Respiratory system diseases breath analysis system

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2023
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Abstract (EN)

Since breath analysis is not invasive, it is a risk-free method that can be sampled repeatedly and has advantages over other diagnostic methods that do not require a professional healthcare worker. In our study, a breath analyzer was developed by using sensors measuring ppb level. Out of 20 non-smoker respiratory patients; The breaths of 13 individuals diagnosed with pneumonia, 3 individuals diagnosed with lung cancer and 4 individuals diagnosed with COPD were analyzed. The breaths of 5 patients with COVID-19, 6 healthy smokers and 7 healthy non-smokers were analyzed. Acetone (C3H6O), Ammonia (NH3), Carbon Monoxide (CO), Nitric Oxide (NO), Ethylene (C2H4), Hydrogen Sulfide (H₂S), Nitrogen Dioxide (NO₂), Carbon Disulfide (CS2), Formaldehyde (CH2O), Ten molecules, including hydrogen (H2), were examined. The results were analyzed with the Origin-Two sample t-test and using the 'Random Forest Algorithm'. As a result of the study, NO2 molecule (p=0.0227), H2S molecule (p=0.03449) and SO2 molecule (p=0.00261) were significantly different from those with respiratory disease. The NO2 molecule (p =0.02337), H2S molecule (p=0.02175) and SO2 molecule (p=0.0056) were significantly different from those with pneumonia. NH3 molecule (p =0.00308), NO2 molecule (p=0.00049), NO molecule (p=0.00792) and H2S molecule (p=0.0128) were significantly different in people with COVID-19 compared to healthy people. When the data of smokers and non-smokers were examined, many molecules were found to be significant. These; CH2O (p=0.00008), CO (p=0.00005), C2H4 (p=0.0025), SO2 (p=0.02), C3H6O (p=0.02) and H2 molecule (p=0.03). Our data has been successfully estimated by Random Forest Algorithm.

Author

Celal Özkal

How to Cite

Celal Özkal (Master Thesis). Respiratory system diseases breath analysis system, 2023, Isparta University of Applied Sciences.

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