ArticleAnalytical and bioanalytical chemistry2026
Soft ionization by chemical reaction in transfer-high-resolution mass spectrometry for clinical exhaled breath profiling.
Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06020521 (Analysis of Volatile Organic Compounds in Expired Air in Healthy Volunteers), which is not on this map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Analysis of Volatile Organic Compounds in Expired Air in Healthy Volunteers: Comparison of Three Mass Spectrometry Techniques for the Characterization of Volatolome in Clinical Studies
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Exhaled breath analysis represents a rapid and non-invasive strategy for detecting volatile organic compounds (VOCs) that mirror human metabolic activity and pathological processes. The soft ionization by chemical reaction in transfer (SICRIT) interface, when integrated with high-resolution mass spectrometry (HRMS), provides a flexible and powerful alternative to conventional analytical techniques for breath analysis. This study evaluated feasibility, analytical reproducibility, and chemical coverage of SICRIT-HRMS for clinical exhaled breath analysis. Signal processing included feature alignment, filtering and compound annotation through the Human Metabolome Database (HMDB) and the Human Breathomics Database (HBDB). In 40 healthy volunteers, SICRIT-HRMS reproducibly detected 604 spectral features (80% matching HMDB, 56% HBDB), including alkanes (oxidative stress markers) and semi-volatile amino acids (likely from airway microdroplets). Median reproducibility across exhalations was 13%, and cosine similarity between VOC profiles reached 0.98 within individuals. Pathway enrichment analysis revealed a significant contribution of amino-acid and lipid metabolism. Twenty-five VOCs were associated with gender and six with fasting duration. SICRIT-HRMS enables high-resolution, real-time profiling of the human breath metabolome with strong reproducibility and broad chemical coverage beyond classical VOCs. Its unique capabilities position it as a comprehensive tool for breathomics research and future translational diagnostic applications. ClinicalTrials.gov Identifier: NCT06020521.
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