Doctoral thesis (Dissertations and theses)
Development of multidimensional approaches for metabolomics
Di Giovanni, Nicolas
2021
 

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Keywords :
GC×GC; Comprehensive gas chromatography; Untargeted metabolomics; QC system; Bias control; Effect size; Correlations; Crohn's disease; Colorectal cancer
Abstract :
[en] Metabolomics in a clinical context faces many analytical challenges. GC×GC-TOFMS has much higher sensitivity and resolution, therefore much higher untargeted capabilities than GC-MS but is still largely neglected in comparison. In front of that situation, the aim of the thesis was to develop methods to exploit the performances of GC×GC-(HR)TOF-MS in untargeted metabolomics in a clinical context, with the underlying goal of extending its use relatively to 1D GC-MS.
Research center :
MolSys - Molecular Systems - ULiège
Disciplines :
Chemistry
Author, co-author :
Di Giovanni, Nicolas ;  Université de Liège - ULiège > Département de chimie (sciences) > Chimie analytique, organique et biologique
Language :
English
Title :
Development of multidimensional approaches for metabolomics
Defense date :
01 April 2021
Number of pages :
188
Institution :
ULiège - Université de Liège
Degree :
Doctor of Philosophy in Sciences
Promotor :
Focant, Jean-François  ;  Université de Liège - ULiège > Molecular Systems (MolSys)
President :
Remacle, Françoise  ;  Université de Liège - ULiège > Molecular Systems (MolSys)
Secretary :
Stefanuto, Pierre-Hugues  ;  Université de Liège - ULiège > Molecular Systems (MolSys)
Jury member :
Meuwis, Marie-Alice  ;  Université de Liège - ULiège > Département des sciences biomédicales et précliniques
Hyötyläinen, Tuulia
Boccard, Julien
Name of the research project :
Development of multidimensional approaches for metabolomics
Funders :
ULiège - Université de Liège [BE]
Available on ORBi :
since 22 March 2021

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