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Lourenco, Celia and Turner, Claire
(2014).
DOI: https://doi.org/10.3390/metabo4020465
URL: http://www.mdpi.com/2218-1989/4/2/465
Abstract
Breath analysis is a promising field with great potential for non-invasive diagnosis of a number of disease states. Analysis of the concentrations of volatile organic compounds (VOCs) in breath with an acceptable accuracy are assessed by means of using analytical techniques with high sensitivity, accuracy, precision, low response time, and low detection limit, which are desirable characteristics for the detection of VOCs in human breath. “Breath fingerprinting”, indicative of a specific clinical status, relies on the use of multivariate statistics methods with powerful in-built algorithms. The need for standardisation of sample collection and analysis is the main issue concerning breath analysis, blocking the introduction of breath tests into clinical practice. This review describes recent scientific developments in basic research and clinical applications, namely issues concerning sampling and biochemistry, highlighting the diagnostic potential of breath analysis for disease diagnosis. Several considerations that need to be taken into account in breath analysis are documented here, including the growing need for metabolomics to deal with breath profiles.
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About
- Item ORO ID
- 40513
- Item Type
- Journal Item
- Project Funding Details
-
Funded Project Name Project ID Funding Body Proton Transfer reaction mass spectrometry (PIMMS) Not Set EU - Extra Information
- This article belongs to the Special Issue Breath Analysis in Metabolomics
- Keywords
- volatile organic compounds (VOCs); trace gas analysis; volatile biomarkers; metabolomics
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Life, Health and Chemical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Innovation, Knowledge & Development research centre (IKD)
- Copyright Holders
- © 2014 The Authors
- Depositing User
- Claire Turner