Volatile Organic Compound Analysis in Biomedical Diagnosis Applications
Coordonnateurs : Cumeras Raquel, Correig Xavier
This volume presents a thought-provoking state-of-the-art picture of how volatile compounds are used in metabolomics, currently a hot topic in the metabolomics field. It provides a thorough description of what volatile organic compounds (VOCs) are, why they are important in biomedicine, and what the analytical platforms are used. It also looks at multivariate analysis and databases needs.
Because VOCs are end-up compounds of metabolic processes, volatiles can be linked to different diseases or pathologies for both diagnosis and prognosis. The authors provide authoritative information and guidance on the analytical and statistical techniques used and how to identify, and they review the main current areas of application, which include breath metabolomics, cancer diagnosis, and microbial volatiles.
- Presents a thorough overview of volatile research in biomedical applications
- Examines both gold standard techniques (metabolomics based) and artificial olfactory systems
- Reviews all aspects of volatile metabolites in biomedicine research, from origin to detection platforms
- Describes relevant diseases diagnosis and prognosis achievements, including cancer
Part 1: Volatiles And Detection Technologies
1. The Volatilome in Metabolomics
2. Basics of a Gas Chromatography Mass Spectrometry System
William Hon Kit Cheung and Raquel Cumeras
Part 2: Biomedical Diagnosis Applications
3. Analysis of Volatile Organic Compounds for Cancer Diagnosis
A. V. Rutter and J. Sulé-Suso
4. Artificial Olfactory Systems Can Detect Unique Odorant Signature of Cancerous Volatile Compounds
5. Bottom-Up Cell Culture Models to Elucidate Human In Vitro Biomarkers of Infection
Michael Schivo et al.
6. Characterizing Outdoor Air Using Microbial Volatile Organic Compounds (MVOCs)
Sonia Garcia-Alcega and Frédéric Coulon
7. Breathomics and Its Application for Disease Diagnosis: A Review of Analytical Techniques and Approaches
David J Beale et al.
Part 3: Computational Tools
8. The Need for External Validation for Metabolomics Predictive Models
Raquel Rodríguez-Pérez, Marta Padilla, and Santiago Marco
9. Insight into KNApSAcK Metabolite Ecology Database: A Comprehensive Source of Species-VOC-Biological Activity Relationships
Azian Azamimi Abdullah, Md. Altaf-Ul-Amin, and Shigehiko Kanaya
Date de parution : 11-2018
Disponible chez l'éditeur (délai d'approvisionnement : 13 jours).
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