Andrii Lazariev1, Florence Fauvelle2,
Martial Piotto3,4, Karim Elbayed4, Jacques Namer5,
Dirk van Ormondt6, Danielle Graveron-Demilly1
1Laboratoire Creatis-LRMN; CNRS UMR
5220; INSERM U630; INSA de Lyon, Universit Claude Bernard Lyon 1,
Villeurbanne, France; 2CRSSA/BCM, Grenoble, France; 3Bruker
BioSpin, Wissembourg, France; 4Institut de Chimie, Strasbourg,
France; 5Department of Biophysics and Nuclear Medicine, University
Hospitals of Strasbourg, Strasbourg, France; 6Delft University of
Technology, Delft, Netherlands
High-resolution
magic angle spinning (HRMAS) 1H spectroscopy is playing an increasingly
important role for diagnosis. This
technique enables setting up metabolite profiles of ex vivo pathological and
healthy tissue. Automatic quantitation of HRMAS signals will provide reliable
reference profiles to monitor diseases and pharmaceutical follow-up.
Nevertheless, for several metabolites chemical shifts often slightly differ
according to the microenvironment in the tissue or cells, in particular with
its pH. This hampers accurate estimation of the metabolite concentrations
mainly when using quantitation algorithms based on a metabolite basis-set. In
this work, a very simple method to circumvent this problem is proposed.