AAS have been divided into three groups according to their ionization behavior and into seven groups according to their CID behavior. Correlations between fragmentation and structure were revealed and fragmentation pathways were postulated.

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Steroid detection and identification remain key issues in toxicology, drug testing, medical diagnostics, food safety control, and doping control. In this study, we evaluate the capabilities and usefulness of analyzing non‐hydrolyzed sulfated steroids with gas chromatography−mass spectrometry (GC–MS) instead of the conventionally applied liquid chromatography−mass spectrometry (LC–MS) approach. Sulfates of 31 steroids were synthesized and their MS and chromatographic behavior studied by chemical ionization−GC−triple quadrupole MS (CI−GC‐TQMS) and low energy−electron ionization−GC−quadrupole time‐of‐flight−MS (LE−EI−GC−QTOF−MS). The collected data shows that the sulfate group is cleaved off in the injection port of the GC–MS, forming two isomers. In CI, the dominant species (ie, [MH – H2SO4]+ or [MH – H4S2O8]+ for bis‐sulfates) is very abundant due to the limited amount of fragmentation, making it an ideal precursor ion for MS/MS. In LE−EI, [M – H2SO4].+ and/or [M – H2SO4 – CH3].+ are the dominant species in most cases. Based on the common GC–MS behavior of non‐hydrolyzed sulfated steroids, two applications were evaluated and compared with the conventionally applied LC–MS approach; (a) discovery of (new) sulfated steroid metabolites of mesterolone and (b) expanding anabolic androgenic steroid abuse detection windows. GC–MS and LC–MS analysis of non‐hydrolyzed sulfated steroids offered comparable sensitivities, superseding these of GC–MS after hydrolysis. For non‐hydrolyzed sulfated steroids, GC–MS offers a higher structural elucidating power and a more straightforward inclusion in screening methods than LC–MS.

Sulfated metabolites have been shown to have potential as long‐term markers of anabolic–androgenic steroid (AAS) abuse. In 2019, the compatibility of gas chromatography–mass spectrometry (GC–MS) with non‐hydrolysed sulfated steroids was demonstrated, and this approach allowed the incorporation of these compounds in a broad GC–MS initial testing procedure at a later stage. However, research is needed to identify which are beneficial. In this study, a search for new long‐term metabolites of two popular AAS, metenolone and drostanolone, was undertaken through two excretion studies each. The excretion samples were analysed using GC–chemical ionization–triple quadrupole MS (GC–CI–MS/MS) after the application of three separate sample preparation methodologies (i.e. hydrolysis with Escherichia coli–derived β‐glucuronidase, Helix pomatia–derived β‐glucuronidase/arylsulfatase and non‐hydrolysed sulfated steroids). For metenolone, a non‐hydrolysed sulfated metabolite, 1β‐methyl‐5α‐androstan‐17‐one‐3ζ‐sulfate, was documented for the first time to provide the longest detection time of up to 17 days. This metabolite increased the detection time by nearly a factor of 2 in comparison with the currently monitored markers for metenolone in a routine doping control initial testing procedure. In the second excretion study, it prolonged the detection window by 25%. In the case of drostanolone, the non‐hydrolysed sulfated metabolite with the longest detection time was the sulfated analogue of the main drostanolone metabolite (3α‐hydroxy‐2α‐methyl‐5α‐androstan‐17‐one) with a detection time of up to 24 days. However, the currently monitored main drostanolone metabolite in routine doping control, after hydrolysis of the glucuronide with E.coli, remained superior in detection time (i.e. up to 29 days).

The search for metabolites with longer detection times remains an important task in, for example, toxicology and doping control. The impact of these long-term metabolites is highlighted by the high number of positive cases after reanalysis of samples that were stored for several years, e.g. samples of previous Olympic Games. A substantial number of previously alleged negative samples have now been declared positive due to the detection of various long-term steroid metabolites the existence of which was unknown during the Olympic Games of 2008 and 2012.In this work, the metabolism of oxymesterone and mesterolone, two anabolic androgenic steroids (AAS), was investigated by application of a selected reaction monitoring gas chromatography-chemical ionization-triple quadrupole mass spectrometry (GC-CI-MS/MS) protocol for metabolite detection and identification. Correlations between AAS structure and GC-CI-MS/MS fragmentation behaviour enabled the search for previously unknown but expected AAS metabolites by selection of theoretical transitions for expected metabolites. Use of different hydrolysis protocols allowed for evaluation of the detection window of both phase I and phase II metabolites.For oxymesterone, a new metabolite, 18-nor-17β-hydroxymethyl-17α-methyl-4-hydroxy-androst-4,13-diene-3-one, was identified. It was detectable up to 46 days by using GC-CI-MS/MS, whereas with a traditional screening (detection of metabolite 17-epioxymesterone with electron ionization GC-MS/MS) oxymesterone administration was only detectable for 3.5 days.A new metabolite was also found for mesterolone. It was identified as 1α-methyl-5α-androstan-3,6,16-triol-17-one and its sulfate form after hydrolysis with Helix pomatia resulted in a prolonged detection time (up to 15 days) for mesterolone abuse.

Identification of anabolic androgenic steroids (AAS) is a vital issue in doping control and toxicology, and searching for metabolites with longer detection times remains an important task. Recently, a gas chromatography chemical ionization triple quadrupole mass spectrometry (GC-CI-MS/MS) method was introduced, and CI, in comparison with electron ionization (EI), proved to be capable of increasing the sensitivity significantly. In addition, correlations between AAS structure and fragmentation behavior could be revealed. This enables the search for previously unknown but expected metabolites by selection of their predicted transitions. The combination of both factors allows the setup of an efficient approach to search for new metabolites. The approach uses selected reaction monitoring which is inherently more sensitive than full scan or precursor ion scan. Additionally, structural information obtained from the structure specific CI fragmentation pattern facilitates metabolite identification. The procedure was demonstrated by a methandienone case study. Its metabolites have been studied extensively in the past, and this allowed an adequate evaluation of the efficiency of the approach. Thirty three metabolites were detected, including all relevant previously discovered metabolites. In our study, the previously reported long-term metabolite (18-nor-17β-hydroxymethyl,17α-methyl-androst-1,4,13-trien-3-one) could be detected up to 26 days by using GC-CI-MS/MS. The study proves the validity of the approach to search for metabolites of new synthetic AAS and new long-term metabolites of less studied AAS and illustrates the increase in sensitivity by using CI. Copyright © 2016 John Wiley & Sons, Ltd.

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