Applicability of an innovative steroid-profiling method to determine synthetic growth promoter abuse in cattle.

A robust LC-MS/MS method was developed to quantify a large number of phase I and phase II steroids in urine. The decision limit is for most compounds lower than 1ngml-1 with a measurement uncertainty smaller than 30%. The method is fully validated and was applied to assess the influence of administered synthetic steroids and beta-agonists on the steroidogenesis. From three animal experiments, clenbuterol, diethylstilbestrol and stanozolol, the steroid profiles in urine of bovine animals were compared before and after treatment. It was demonstrated that the steroid profiles were altered due to these treatments. A predictive multivariate model was built to identify deviations from normal population steroid profiles. The abuse of synthetic steroids can be detected in urine samples from bovine animals using this model. The samples from the animal experiments were randomly analysed using this method and predictive model. It was shown that these samples were predicted correctly in the exogenous steroids group.

Endogenous steroid profiling by gas chromatography-tandem mass spectrometry and multivariate statistics for the detection of natural hormone abuse in cattle.

For years it has been suspected that natural hormones are illegally used as growth promoters in cattle in the European Union. Unfortunately there is a lack of methods and criteria that can be used to detect the abuse of natural hormones and distinguish treated from non-treated animals. Pattern recognition of steroid profiles is a promising approach for tracing/detecting the abuse of natural hormones administered to cattle. Traditionally steroids are analysed in urine as free steroid after deconjugation of the glucuronide (and sulphate) conjugates. The disadvantage of this deconjugation is that valuable information about the steroid profile in the sample is lost. In this study we develop a method to analyse steroids at very low concentration levels (ng l(-1)) for the free steroid, glucuronide and sulphate conjugates in urine samples. This method was used to determine concentrations of natural (pro)hormones in a large population (n = 620) of samples from male and female bovine animals and from bovine animals treated with testosterone-cypionate, estradiol-benzoate, dihydroepiandrosterone and pregnenolone. The data acquired were used to build a statistical model applying the multivariate technique 'Soft Independent Modeling of Class Analogy' (SIMCA). It is demonstrated that by using this model the results of the urine analysis can indicate which animal may have had illegal treatment with natural (pro)hormones.

Multi-residue screening of a minimum package of anabolic steroids in urine with GC-MS.

The method comprises the screening of two groups of anabolic compounds, the stilbenes and several steroids. All compounds, inclusive their metabolites when possible, for which gas chromatography-mass spectrometry (GC-MS) currently is the preferred analytical technique, are included. Two different derivatives are prepared. One group, including the stilbenes, is detected as HFB derivative (Method 1), the second group is detected as TMS derivative (Method 2). The method is used to perform a qualitative and semi-quantitative analysis of a minimum package of anabolic steroids to be included in National Residue Control Plans based on Council Directive 96/23 and complies with the current Minimum Required Performance Limits. The method has been validated according to Commission Decision 2002/657/EC. The CCalpha and CCbeta values are based on the detection of the most abundant ion. Results of validation experiments are presented. The method is flexible and due to the non-specific sample clean-up more and new anabolic compounds can be easily added in order to new monitoring requirements.