Abstract
In contrast to GC-MS libraries, currently available LC-MS libraries for toxicological detection contain besides parent drugs only some main metabolites limiting their applicability for urine screening. Therefore, a metabolite-based LC-MSn screening procedure was developed and exemplified for antidepressants. The library was built up with MS2 and MS3 wideband spectra using an LXQ linear ion trap with electrospray ionization in the positive mode and full-scan information-dependent acquisition. Pure substance spectra were recorded in methanolic solution and metabolite spectra in urine from rats after administration of the corresponding drugs. After identification, the metabolite spectra were added to the library. Various drugs and metabolites could be sufficiently separated. Recovery, process efficiency, matrix effects, and limits of detection for selected drugs were determined using protein precipitation. Automatic data evaluation was performed using ToxID and SmileMS software. The library consists of over 700 parent compounds including 45 antidepressants, over 1,600 metabolites, and artifacts. Protein precipitation led to sufficient results for sample preparation. ToxID and SmileMS were both suitable for target screening with some pros and cons. In our study, only SmileMS was suitable for untargeted screening being not limited to precursor selection. The LC-MSn method was suitable for urine screening as exemplified for antidepressants. It also allowed detecting unknown compounds based on known fragment structures. As ion suppression can never be excluded, it is advantageous to have several targets per drug. Furthermore, the detection of metabolites confirms the body passage. The presented LC-MSn method complements established GC-MS or LC-MS procedures in the authors’ lab.
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Acknowledgments
The authors thank Benjamin Honold, Golo M. Meyer, Peter Niklas, Frank T. Peters, Anika-Anina Philipp, Andrea E. Schwaninger, Carsten Schröder, Gabi Ulrich and Lydia Zweigler as well as Kornelia Weidemann and Edeltraud Thiry (ThermoFisher Scientific Instruments, Dreieich, Germany), and Pierre-Alain Binz, Nicolas Budin, Yann Mauron, and Roman Mylonas (GeneBio, Geneva, Switzerland) for their support.
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Published in the special issue Forensic Toxicology with Guest Editors Frank T. Peters, Hans H. Maurer, and Frank Musshoff.
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Wissenbach, D.K., Meyer, M.R., Remane, D. et al. Development of the first metabolite-based LC-MSn urine drug screening procedure-exemplified for antidepressants. Anal Bioanal Chem 400, 79–88 (2011). https://doi.org/10.1007/s00216-010-4398-9
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DOI: https://doi.org/10.1007/s00216-010-4398-9