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Breath analysis by two-dimensional gas chromatography with dual flame ionisation and mass spectrometric detection – Method optimisation and integration within a large-scale clinical study

Precision medicine has spurred new innovations in molecular pathology leading to recent advances in the analysis of exhaled breath as a non-invasive diagnostic tool. Volatile organic compounds (VOCs) detected in exhaled breath have the potential to reveal a wealth of chemical and metabolomic informa...

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Autores principales: Wilde, Michael J., Cordell, Rebecca L., Salman, Dahlia, Zhao, Bo, Ibrahim, Wadah, Bryant, Luke, Ruszkiewicz, Dorota, Singapuri, Amisha, Free, Robert C., Gaillard, Erol A., Beardsmore, Caroline, Thomas, C.L. Paul, Brightling, Chris E., Siddiqui, Salman, Monks, Paul S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6491496/
https://www.ncbi.nlm.nih.gov/pubmed/30755317
http://dx.doi.org/10.1016/j.chroma.2019.02.001
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author Wilde, Michael J.
Cordell, Rebecca L.
Salman, Dahlia
Zhao, Bo
Ibrahim, Wadah
Bryant, Luke
Ruszkiewicz, Dorota
Singapuri, Amisha
Free, Robert C.
Gaillard, Erol A.
Beardsmore, Caroline
Thomas, C.L. Paul
Brightling, Chris E.
Siddiqui, Salman
Monks, Paul S.
author_facet Wilde, Michael J.
Cordell, Rebecca L.
Salman, Dahlia
Zhao, Bo
Ibrahim, Wadah
Bryant, Luke
Ruszkiewicz, Dorota
Singapuri, Amisha
Free, Robert C.
Gaillard, Erol A.
Beardsmore, Caroline
Thomas, C.L. Paul
Brightling, Chris E.
Siddiqui, Salman
Monks, Paul S.
author_sort Wilde, Michael J.
collection PubMed
description Precision medicine has spurred new innovations in molecular pathology leading to recent advances in the analysis of exhaled breath as a non-invasive diagnostic tool. Volatile organic compounds (VOCs) detected in exhaled breath have the potential to reveal a wealth of chemical and metabolomic information. This study describes the development of a method for the analysis of breath, based on automated thermal desorption (TD) combined with flow modulated comprehensive two-dimensional gas chromatography (GC×GC) with dual flame ionisation and quadrupole mass spectrometric detection (FID and qMS). The constrained optimisation and analytical protocol was designed to meet the practical demands of a large-scale multi-site clinical study, while maintaining analytical rigour to produce high fidelity data. The results demonstrate a comprehensive method optimisation for the collection and analysis of breath VOCs by GC×GC, integral to the standardisation and integration of breath analysis within large clinical studies.
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spelling pubmed-64914962019-06-07 Breath analysis by two-dimensional gas chromatography with dual flame ionisation and mass spectrometric detection – Method optimisation and integration within a large-scale clinical study Wilde, Michael J. Cordell, Rebecca L. Salman, Dahlia Zhao, Bo Ibrahim, Wadah Bryant, Luke Ruszkiewicz, Dorota Singapuri, Amisha Free, Robert C. Gaillard, Erol A. Beardsmore, Caroline Thomas, C.L. Paul Brightling, Chris E. Siddiqui, Salman Monks, Paul S. J Chromatogr A Article Precision medicine has spurred new innovations in molecular pathology leading to recent advances in the analysis of exhaled breath as a non-invasive diagnostic tool. Volatile organic compounds (VOCs) detected in exhaled breath have the potential to reveal a wealth of chemical and metabolomic information. This study describes the development of a method for the analysis of breath, based on automated thermal desorption (TD) combined with flow modulated comprehensive two-dimensional gas chromatography (GC×GC) with dual flame ionisation and quadrupole mass spectrometric detection (FID and qMS). The constrained optimisation and analytical protocol was designed to meet the practical demands of a large-scale multi-site clinical study, while maintaining analytical rigour to produce high fidelity data. The results demonstrate a comprehensive method optimisation for the collection and analysis of breath VOCs by GC×GC, integral to the standardisation and integration of breath analysis within large clinical studies. Elsevier 2019-06-07 /pmc/articles/PMC6491496/ /pubmed/30755317 http://dx.doi.org/10.1016/j.chroma.2019.02.001 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wilde, Michael J.
Cordell, Rebecca L.
Salman, Dahlia
Zhao, Bo
Ibrahim, Wadah
Bryant, Luke
Ruszkiewicz, Dorota
Singapuri, Amisha
Free, Robert C.
Gaillard, Erol A.
Beardsmore, Caroline
Thomas, C.L. Paul
Brightling, Chris E.
Siddiqui, Salman
Monks, Paul S.
Breath analysis by two-dimensional gas chromatography with dual flame ionisation and mass spectrometric detection – Method optimisation and integration within a large-scale clinical study
title Breath analysis by two-dimensional gas chromatography with dual flame ionisation and mass spectrometric detection – Method optimisation and integration within a large-scale clinical study
title_full Breath analysis by two-dimensional gas chromatography with dual flame ionisation and mass spectrometric detection – Method optimisation and integration within a large-scale clinical study
title_fullStr Breath analysis by two-dimensional gas chromatography with dual flame ionisation and mass spectrometric detection – Method optimisation and integration within a large-scale clinical study
title_full_unstemmed Breath analysis by two-dimensional gas chromatography with dual flame ionisation and mass spectrometric detection – Method optimisation and integration within a large-scale clinical study
title_short Breath analysis by two-dimensional gas chromatography with dual flame ionisation and mass spectrometric detection – Method optimisation and integration within a large-scale clinical study
title_sort breath analysis by two-dimensional gas chromatography with dual flame ionisation and mass spectrometric detection – method optimisation and integration within a large-scale clinical study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6491496/
https://www.ncbi.nlm.nih.gov/pubmed/30755317
http://dx.doi.org/10.1016/j.chroma.2019.02.001
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