Fulltext

Development of a fully automated toxicological LC-MSn screening system in urine using online extraction with turbulent flow chromatography

Mueller, Daniel ; Duretz, Bénédicte ; Espourteille, Francois ; Rentsch, Katharina

In: Analytical and Bioanalytical Chemistry, 2011, vol. 400, no. 1, p. 89-100

Ajouter à la liste personnelle
    Titre
    • Development of a fully automated toxicological LC-MSn screening system in urine using online extraction with turbulent flow chromatography
    Auteur
    • Mueller, Daniel. Institute for Clinical Chemistry, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
    • Duretz, Bénédicte. Thermo Fisher Scientific, 91963, Les Ulis Cédex, France
    • Espourteille, Francois. Thermo Fisher Scientifc, 02038, Franklin, MA, USA
    • Rentsch, Katharina. Institute for Clinical Chemistry, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
    Type de document
    • Postprint
    Langue
    • Anglais
    Publié dans
    • Analytical and Bioanalytical Chemistry, 2011, vol. 400, no. 1, p. 89-100. Springer-Verlag
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:310924
    Summary
    In clinical toxicology, fast and specific methods are necessary for the screening of different classes of drugs. Therefore, an online extraction high-performance liquid chromatography coupled to mass spectrometry (LC-MSn) screening method using a MS2 and MS3 spectral library for the identification of xenobiotic substances has been developed and validated. Samples were run twice, once native and once after enzymatic hydrolysis. Internal standards and buffer were added to the urine samples. Following centrifugation, the supernatant was injected into the system. Extraction was performed by online turbulent flow chromatography. The chromatographic separation was achieved using a Phenyl/Hexyl column. For detection, a linear ion trap, equipped with an APCI interface, was used and the different compounds were identified using a MS2 and MS3 spectral library containing 356 compounds. The turnaround time to report the results of the screening including hydrolysis was approximately 2h. About 92% of the 356 substances could be identified with a limit of identification below 100ng/ml. The recovery and matrix effect experiments showed suitable results, and in six drug-free urine samples of healthy volunteers analyzed for selectivity, no substances have been identified. Carryover could be well controlled, and the method had a good reproducibility. The comparison of the results of 103 real patient urine samples showed a good agreement between the existing GC-MS and LC-MS methods with offline extraction and the new online extraction LC-MSn screening method. The presented method allows a fast and sensitive analysis of a broad range of compounds