Exhaled Breath Analysis Using a Novel Electronic Nose for Different Respiratory Disease Entities

Area of Science:

• Respiratory medicine
• Analytical chemistry
• Biomarker discovery

Background:

• Electronic noses (eNose) and gas chromatography-mass spectrometry (GC-MS) are key breath analysis techniques.
• Differentiating respiratory diseases via breath analysis is crucial for diagnosis and management.

Purpose of the Study:

• To evaluate the diagnostic performance of a novel electronic nose for various respiratory diseases.
• To identify volatile organic compound (VOC) biomarkers using GC-MS in exhaled breath.

Main Methods:

• Recruited patients with lung cancer, pneumonia, structural lung diseases, and healthy controls.
• Collected exhaled breath samples for eNose and GC-MS analysis.
• Analyzed eNose breathprint features using support vector machine and leave-one-out cross-validation.

Main Results:

• Included 263 participants (95 lung cancer, 59 pneumonia, 71 structural lung disease, 38 controls).
• Achieved an overall eNose accuracy of 0.738 for the four groups.
• Identified specific VOCs: cyclohexanone and N,N-dimethylacetamide in pneumonia, ethyl acetate in structural lung disease, and 2,3,4-trimethylhexane in lung cancer.

Conclusions:

• The novel eNose demonstrates effectiveness in distinguishing respiratory diseases.
• The eNose shows potential as a point-of-care diagnostic tool.
• GC-MS successfully identified candidate VOC biomarkers for respiratory conditions.