On-Line Analysis of Exhaled Breath


Journal

Chemical reviews
ISSN: 1520-6890
Titre abrégé: Chem Rev
Pays: United States
ID NLM: 2985134R

Informations de publication

Date de publication:
09 10 2019
Historique:
entrez: 10 10 2019
pubmed: 9 10 2019
medline: 25 7 2020
Statut: ppublish

Résumé

On-line analysis of exhaled breath offers insight into a person's metabolism without the need for sample preparation or sample collection. Due to its noninvasive nature and the possibility to sample continuously, the analysis of breath has great clinical potential. The unique features of this technology make it an attractive candidate for applications in medicine, beyond the task of diagnosis. We review the current methodologies for on-line breath analysis, discuss current and future applications, and critically evaluate challenges and pitfalls such as the need for standardization. Special emphasis is given to the use of the technology in diagnosing respiratory diseases, potential niche applications, and the promise of breath analysis for personalized medicine. The analytical methodologies used range from very small and low-cost chemical sensors, which are ideal for continuous monitoring of disease status, to optical spectroscopy and state-of-the-art, high-resolution mass spectrometry. The latter can be utilized for untargeted analysis of exhaled breath, with the capability to identify hitherto unknown molecules. The interpretation of the resulting big data sets is complex and often constrained due to a limited number of participants. Even larger data sets will be needed for assessing reproducibility and for validation of biomarker candidates. In addition, molecular structures and quantification of compounds are generally not easily available from on-line measurements and require complementary measurements, for example, a separation method coupled to mass spectrometry. Furthermore, a lack of standardization still hampers the application of the technique to screen larger cohorts of patients. This review summarizes the present status and continuous improvements of the principal on-line breath analysis methods and evaluates obstacles for their wider application.

Identifiants

pubmed: 31594311
doi: 10.1021/acs.chemrev.9b00005
doi:

Substances chimiques

Biomarkers 0
Volatile Organic Compounds 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

10803-10828

Auteurs

Tobias Bruderer (T)

Department of Chemistry and Applied Biosciences , Swiss Federal Institute of Technology , CH-8093 Zurich , Switzerland.
Division of Respiratory Medicine , University Children's Hospital Zurich and Children's Research Center Zurich , CH-8032 Zurich , Switzerland.

Thomas Gaisl (T)

Department of Pulmonology , University Hospital Zurich , CH-8091 Zurich , Switzerland.
Zurich Center for Interdisciplinary Sleep Research , University of Zurich , CH-8091 Zurich , Switzerland.

Martin T Gaugg (MT)

Department of Chemistry and Applied Biosciences , Swiss Federal Institute of Technology , CH-8093 Zurich , Switzerland.

Nora Nowak (N)

Department of Chemistry and Applied Biosciences , Swiss Federal Institute of Technology , CH-8093 Zurich , Switzerland.

Bettina Streckenbach (B)

Department of Chemistry and Applied Biosciences , Swiss Federal Institute of Technology , CH-8093 Zurich , Switzerland.

Simona Müller (S)

Department of Chemistry and Applied Biosciences , Swiss Federal Institute of Technology , CH-8093 Zurich , Switzerland.

Alexander Moeller (A)

Division of Respiratory Medicine , University Children's Hospital Zurich and Children's Research Center Zurich , CH-8032 Zurich , Switzerland.

Malcolm Kohler (M)

Department of Pulmonology , University Hospital Zurich , CH-8091 Zurich , Switzerland.
Center for Integrative Human Physiology , University of Zurich , CH-8091 Zurich , Switzerland.
Zurich Center for Interdisciplinary Sleep Research , University of Zurich , CH-8091 Zurich , Switzerland.

Renato Zenobi (R)

Department of Chemistry and Applied Biosciences , Swiss Federal Institute of Technology , CH-8093 Zurich , Switzerland.

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Classifications MeSH