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The identification of drug metabolites is a critical step in drug development due to their impact on drug efficacy and safety. LC-MS platforms provide good selectivity and sensitivity making it the preferred technique for metabolite identification. Here, metabolite identification was performed using unique fragments from EAD and CID spectra. Fragment information from EAD and CID spectra were processed in a single result file to achieve confident structure assignment of and localization of metabolites.

Throughout drug development, it is important to characterize and quantify pharmaceutical compounds and any associated metabolites to ensure proper drug safety and efficacy. LC-MS/MS techniques are predominantly used for such analyses because they provide a comprehensive outlook and can offer a sensitive and selective approach for the quantification of compounds. However, limited deep fragment coverage and sensitivity challenge the confident identification and quantification of metabolites and drug products. Here, alternative fragmentation paired with a highly sensitive QTOF system was employed for comprehensive data collection to properly identify metabolites and quantify complex peptide therapeutics.

The dream state If we lived in an ideal world, it would be possible to unambiguously identify metabolites using a single analytical experiment. This analytical technique would need to be efficient and easily generate the information needed from a routine assay that is also robust, enabling confident decision-making during drug discovery. At SCIEX, we believe that metabolite identification using the ZenoTOF 7600 system gets close to this dream state.

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