Volatile organic compounds in cancer and exhaled breath detection technology.


Journal

Advances in clinical chemistry
ISSN: 2162-9471
Titre abrégé: Adv Clin Chem
Pays: United States
ID NLM: 2985173R

Informations de publication

Date de publication:
2024
Historique:
medline: 8 8 2024
pubmed: 8 8 2024
entrez: 7 8 2024
Statut: ppublish

Résumé

The detection of volatile organic compounds (VOCs) in breath has become a potential method for early cancer screening. Although this approach has attracted increasing attention from the both scientific and medical communities, it has not received appreciable traction in the clinical setting. There are two main obstacles. One involves the identification of specific biomarkers or combinations thereof especially in early cancer. The other is the lack the specialized equipment for breath analysis having the appropriate sensitivity and specificity. Using metabolomics, this chapter examines the research strategies involving gas biomarkers in cancer patient breath, cancer cell gas metabolites and synthetic biomarkers. We briefly explore gas biomarkers of seven cancers and introduce principles of detection and clinical application. Large analytical instruments and small sensor technology are highlighted. Challenges to VOC analysis are presented including clinical use, extraction and detection, miniaturization efforts and examination of metabolic VOC pathways. Finally, VOCs in cancer and in exhaled breath detection technology are summarized and future prospects explored.

Identifiants

pubmed: 39111965
pii: S0065-2423(24)00105-7
doi: 10.1016/bs.acc.2024.06.012
pii:
doi:

Substances chimiques

Volatile Organic Compounds 0
Biomarkers, Tumor 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

53-114

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Xinyuan Zhou (X)

Life and Health Intelligent Research Institute, Tianjin University of Technology, Tianjin, P.R. China.

Manqing Qi (M)

Life and Health Intelligent Research Institute, Tianjin University of Technology, Tianjin, P.R. China.

Mingqi Tang (M)

Life and Health Intelligent Research Institute, Tianjin University of Technology, Tianjin, P.R. China.

Shifang Wen (S)

Life and Health Intelligent Research Institute, Tianjin University of Technology, Tianjin, P.R. China.

Zhenjie Xue (Z)

Life and Health Intelligent Research Institute, Tianjin University of Technology, Tianjin, P.R. China.

Tie Wang (T)

Life and Health Intelligent Research Institute, Tianjin University of Technology, Tianjin, P.R. China. Electronic address: wangtie@email.tjut.edu.cn.

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Classifications MeSH