Instrumental potentialities for the determination of anabolic agents in edible animal products and body fluids

Autor: W. Leymann, H. Schlimper, B. Telin, C. G. B. Frischkorn, B. Scheulen, H. E. Frischkorn, H. W. Dürbeck, I. Büker
Rok vydání: 1982
Předmět:
Zdroj: Fresenius' Zeitschrift für analytische Chemie. 311:404-404
ISSN: 0016-1152
DOI: 10.1007/bf00481771
Popis: Numerous steroid hormones such as androgens, estrogens and gestagens as well as their synthetic analogues are well known to stimulate the biosynthesis of proteins. Due to this anabolic effect they are widely used as growth-promoting agents in animal production, the most frequently applied compounds being the estrogens and in particular the non-steroidal stilbene derivatives. With only a few exceptions these compounds also exhibit hormone-like activities so that their application is strictly regulated or even banned. For the effective control of these regulations at present two different analytical methodologies with high precision and sensitivity are available and well introduced. First, the immunological assays like radioimmunoassay (RIA) [4] or enzymeimmunoassay (EIA) have to be mentioned, which are extremely sensitive (down to the 50 pg/g level) and quite easily to perform. However, their application is restricted to those drugs, for which specific antisera have been developed and which are not expected to undergo an extensive metabolism (estradiol, diethylstilbestrol, trenbolone and methandienone). The second methodology is an instrumental approach, based on advanced techniques of gas chromatography (GC), highperformance liquid chromatography (HPLC) and glass-capillary gas chromatography-mass spectrometry (GC-MS) [1]. In general, up to now, these methods are not as sensitive as the immunoassays but they are capable of detecting a wide spectrum of anabolic drugs together with their potential metabolites simultaneously, thus being most suitable for routine screening procedures. By introducing selective detection systems (multiple ion detection, voltammetric detection) they may be optimized for determinations in the upper pg/g range with a relative standard deviation of _+ 10 %. To achieve these limits in practical applications a number of method-specific requirements concerning sample preparation and clean-up have to be considered which are summarized in brief below.
Databáze: OpenAIRE
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