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.