Speeding up the screening of steroids in urine: development of a user-friendly library

Speeding up the screening of steroids in urine : development of a user-friendly library / M. Galesio, H. López-Fdez, M. Reboiro-Jato, Silvana Gómez-Meire, D. Glez-Peña, F. Fdez-Riverola, Carlos Lodeiro, M.E. Diniz, J.L. Capelo. - (Steroids 78 (2013) 12-13 (11 December); p. 1226-1232)

  • PMID: 24036418
  • DOI: 10.1016/j.steroids.2013.08.014


Abstract

This work presents a novel database search engine - MLibrary - designed to assist the user in the detection and identification of androgenic anabolic steroids (AAS) and its metabolites by matrix assisted laser desorption/ionization (MALDI) and mass spectrometry-based strategies. The detection of the AAS in the samples was accomplished by searching (i) the mass spectrometric (MS) spectra against the library developed to identify possible positives and (ii) by comparison of the tandem mass spectrometric (MS/MS) spectra produced after fragmentation of the possible positives with a complete set of spectra that have previously been assigned to the software. The urinary screening for anabolic agents plays a major role in anti-doping laboratories as they represent the most abused drug class in sports. With the help of the MLibrary software application, the use of MALDI techniques for doping control is simplified and the time for evaluation and interpretation of the results is reduced. To do so, the search engine takes as input several MALDI-TOF-MS and MALDI-TOF-MS/MS spectra. It aids the researcher in an automatic mode by identifying possible positives in a single MS analysis and then confirming their presence in tandem MS analysis by comparing the experimental tandem mass spectrometric data with the database. Furthermore, the search engine can, potentially, be further expanded to other compounds in addition to AASs. The applicability of the MLibrary tool is shown through the analysis of spiked urine samples.

Original document

Parameters

Science
Study
Date
11 September 2013
People
Capelo, J.L.
Diniz, M.E.
Fdez-Riverola, F.
Galesio, M.
Glez-Peña, D.
Gómez-Meire, Silvana
Lodeiro, Carlos
López-Fdez, H.
Reboiro-Jato, M.
Country
Portugal
Spain
Language
English
Other organisations
Universidade de Vigo - University of Vigo
Universidade NOVA de Lisboa - NOVA University Lisbon
Analytical aspects
Mass spectrometry analysis
Testing method development
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Scientific article
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Date generated
2 March 2021
Date of last modification
3 March 2021
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