Cover Page
The handle http://hdl.handle.net/1887/138666 holds various files of this Leiden University dissertation.
Author: Laan, T. van der
Title: High-throughput quantification and unambiguous identification for metabolomics Issue Date: 2020-12-14
High-throughput quantification and
unambiguous identification for
The publication of this thesis was financially supported by: Leiden Academic Centre for Drug Research
Leiden University Libraries AB Sciex
Cover design: Anna van Duijn Thesis lay-out: Tom van der Laan Printing: Ede Printservice
© Copyright, Tom van der Laan, 2020 ISBN: 978-90-831117-2-8
All rights reserved. No part of this book may be reproduced in any form or by any means without permission of the author.
High-throughput quantification and
unambiguous identification for
metabolomics
Proefschrift
Ter verkrijging van
de graad van Doctor aan de Universiteit Leiden,
op gezag van Rector Magnificus prof.mr. C.J.J.M. Stolker,
volgens besluit van het College voor Promoties
te verdedigen op maandag 14 december 2020
klokke 15:00 uur
door
Tom van der Laan
Geboren te Amersfoort, Nederland
in 1992
PROMOTOR
Prof.dr. T. Hankemeier
CO-PROMOTOR
Dr.ir. A.C. Dubbelman Dr. A.C. Harms
PROMOTIECOMMISSIE
Prof.dr. H. Irth (Chair)
Prof.dr. J.A. Bouwstra (secretary) Prof.dr.ir. P.J. Schoenmakers Prof.dr. J.P.M. van Duynhoven Prof.dr. G. Hopfgartner
Prof.dr. E.C.M. de Lange
The research described in this thesis was performed at the division Systems Biomedicine and Pharmacology of the Leiden Academic Centre for Drug Research (LACDR), Leiden University (Leiden, The Netherlands). The research was financially supported by COAST/NWO (project no. 053.21.118).
CONTENTS
Chapter 1 General introduction and scope 1
Chapter 2 Fast LC-ESI-MS/MS analysis and influence of sampling
conditions for gut metabolites in plasma and serum
21
Scientific Reports (2019)
Chapter 3 High-throughput fractionation coupled to mass spectrometry
for improved quantitation in metabolomics
45
Analytical Chemistry (2020)
Chapter 4 Data independent acquisition for the quantification and
identification of metabolites in plasma
77
Submitted for publication
Chapter 5 Fractionation platform for target identification using off-line
directed 2D-LC, MS and NMR
101
Analytica Chimica Acta (2020)
Chapter 6 Conclusions and perspectives 137
Addendum Nederlandse Samenvatting
Curriculum Vitae Acknowledgements
