A study of 9 common breath VOCs in 504 healthy subjects using PTR-TOF-MS

• Published in: Metabolomics Vol. 20; no. 4; p. 79
• Main Authors: Jia, Zhunan, Ong, Wei Qiang, Zhang, Fuchang, Du, Fang, Thavasi, Velmurugan, Thirumalai, Venkatesan
• Format: Journal Article
• Language: English
• Published: New York Springer US 24.07.2024; Springer Nature B.V
• Subjects: Acetaldehyde; Acetonitrile; Adolescent; Adult; Age composition; Aged; Biochemistry; Biomarkers; Biomarkers - analysis; Biomedical and Life Sciences; Biomedicine; Breath tests; Breath Tests - methods; Cell Biology; Demography; Developmental Biology; Exhalation; Female; Healthy Volunteers; Humans; Isoprene; Life Sciences; Male; Mass Spectrometry - methods; Mass spectroscopy; Methanol; Middle Aged; Molecular Medicine; Original Article; Propanol; Smoking; Smoking - metabolism; VOCs; Volatile organic compounds; Volatile Organic Compounds - analysis; Young Adult; Volatile organic compounds; Biomarker; PTR-MS; Breath analysis
• ISSN: 1573-3890; 1573-3882; 1573-3890
• DOI: 10.1007/s11306-024-02139-6

Introduction This study employs Proton-Transfer-Reaction Mass Spectrometry (PTR-MS) to analyze exhaled breath profiles of 504 healthy adults, focusing on nine common volatile organic compounds (VOCs): acetone, acetaldehyde, acetonitrile, ethanol, isoprene, methanol, propanol, phenol, and toluene. PTR-MS offers real-time VOC measurement, crucial for understanding breath biomarkers and their applications in health assessment. Objectives The study aims to investigate how demographic factors-gender, age, and smoking history-affect VOC concentrations in exhaled breath. The objective is to enhance our understanding of breath biomarkers and their potential for health monitoring and clinical diagnosis. Methods Exhaled breath samples were collected using PTR-MS, measuring concentrations of nine VOCs. The data were analyzed to discern distribution patterns across demographic groups. Results Males showed higher average VOC levels for certain compounds. Propanol and methanol concentrations significantly increased with age. Smoking history influenced VOC levels, with differences among non-smokers, current smokers, and ex-smokers. Conclusion This research provides valuable insights into demographic influences on exhaled VOC profiles, emphasizing the potential of breath analysis for health assessment. PTR-MS’s real-time measurement capabilities are crucial for capturing dynamic VOC changes, offering advantages over conventional methods. These findings lay a foundation for advancements in non-invasive disease detection, highlighting the importance of considering demographics in breath biomarker research.