4.8 Article

Multidimensional Separations of Intact Phase II Steroid Metabolites Utilizing LC-Ion Mobility-HRMS

Journal

ANALYTICAL CHEMISTRY
Volume 93, Issue 31, Pages 10990-10998

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.1c02163

Keywords

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Funding

  1. Center for Innovative Technology at Vanderbilt University
  2. National Institutes of Health (National Cancer Institute) [R03CA222452]
  3. Partnership for Clean Competition (PCC) [68049MG20]

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The detection and identification of steroid metabolites is crucial in various fields, but current methods face challenges in accurate identification. The development of a new LC-IM-HRMS method to enhance peak capacity and utilize collision cross section values as molecular descriptors shows promise in improving identification accuracy under low concentration conditions.
The detection and unambiguous identification of anabolic-androgenic steroid metabolites are essential in clinical, forensic, and antidoping analyses. Recently, sulfate phase II steroid misuse in sports. Comprehensive analytical methods, such as liquid chromatography-tandem mass spectrometry (LC-MS/MS), have been used to detect and identify glucuronide and sulfate steroids in human urine with high sensitivity and reliability. However, LCMS/MS identification strategies can be hindered by the fact that phase II steroid metabolites generate nonselective ion fragments across the different metabolite markers, limiting the confidence in metabolite identifications that rely on exact mass measurement and MS/MS information. Additionally, liquid chromatography-high-resolution mass spectrometry (LC-HRMS) is sometimes insufficient at fully resolving the analyte peaks from the sample matrix (commonly urine) chemical noise, further complicating accurate identification efforts. Therefore, we developed a liquid chromatography-ion mobility-high resolution mass spectrometry (LC-IM-HRMS) method to increase the peak capacity and utilize the IM-derived collision cross section (CCS) values as an additional molecular descriptor for increased selectivity and to improve identifications of intact steroid analyses at low concentrations.

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