期刊
CHIMIA
卷 76, 期 1-2, 页码 127-132出版社
SWISS CHEMICAL SOC
DOI: 10.2533/chimia.2022.127
关键词
Breath analysis; Mass spectrometry; Plasma ionization; Secondary electrospray ionization
资金
- Fondation Botnar (Switzerland)
- Swiss National Science Foundation [320030_173168, PCEGP3_181300]
- Swiss National Science Foundation (SNF) [320030_173168, PCEGP3_181300] Funding Source: Swiss National Science Foundation (SNF)
This study compared SESI-HRMS and PI-HRMS ionization techniques for exhaled breath analysis, revealing differences in terms of detected mass spectral features and signal-to-noise ratio. Although both techniques are excellent for real-time breath analysis due to very rich mass spectral fingerprints, differences in mass spectral profiles for the same samples make the inter-comparability of both techniques problematic. Further research is needed to fully understand the exact metabolic insights each platform can provide.
Real-time breath analysis by high-resolution mass spectrometry (HRMS) is a promising method to non invasively retrieve relevant biochemical information. In this work, we conducted a head-to-head comparison of two ionization techniques: Secondary electrospray ionization (SESI) and plasma ionization (PI), for the analysis of exhaled breath. Two commercially available SESI and PI sources were coupled to the same HRMS device to analyze breath of two healthy individuals in a longitudinal study. We analyzed 58 breath specimens in both platforms, leading to 2,209 and 2,296 features detected by SESI-HRMS and by PI-HRMS, respectively. 60% of all the mass spectral features were detected in both platforms. However, remarkable differences were noted in terms of the signal-to-noise ratio (S/N), whereby the median (interquartile range, IQR) S/N ratio for SESI-HRMS was 115 (IQR = 408), whereas for PI-HRMS it was 5 (IQR = 5). Differences in the mass spectral profiles for the same samples make the inter-comparability of both techniques problematic. Overall, we conclude that both techniques are excellent for real-time breath analysis because of the very rich mass spectral fingerprints. However, further work is needed to fully understand the exact metabolic insights one can gather using each of these platforms.
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