کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7627074 1494584 2018 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Systematic identification of suspected anthelmintic benzimidazole metabolites using LC-MS/MS
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Systematic identification of suspected anthelmintic benzimidazole metabolites using LC-MS/MS
چکیده انگلیسی
A set of common characteristic product ions was identified from accurate mass MS/MS experiments for five parent compounds. It was hypothesized that the mass shift of any metabolic transformation at the parent molecule also is observable in the mass spectrum of the corresponding metabolite. This was tested and verified with six metabolite reference standards and subsequently, formulated as a general prediction scheme. The approach was integrated into a rapid MSe QTOF workflow and tested in mouse plasma for mebendazole and its metabolites. The presented scheme allows the prediction of characteristic product ions for suspected unknown metabolites. These can be matched with measured product ions of suspected metabolites for tentative identification. The theoretically predicted spectra can contribute to the tentative identification of unknown compounds in non-target and suspect screening approaches.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Pharmaceutical and Biomedical Analysis - Volume 151, 20 March 2018, Pages 151-158
نویسندگان
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