Sample preparation for the determination of steroids (corticoids and anabolics) in feed using LC
An improved sample preparation procedure for the determination of 17 steroids (corticoids (CC) and androgenic anabolic steroids (AAS)), used potentially as growth promoters, in feed samples has been developed. This procedure is based on two reported LC-UV methods. The improved procedure includes a l...
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Published in | Journal of separation science Vol. 31; no. 12; pp. 2303 - 2309 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Weinheim
Wiley-VCH Verlag
01.07.2008
WILEY-VCH Verlag WILEY‐VCH Verlag Wiley |
Subjects | |
Online Access | Get full text |
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Summary: | An improved sample preparation procedure for the determination of 17 steroids (corticoids (CC) and androgenic anabolic steroids (AAS)), used potentially as growth promoters, in feed samples has been developed. This procedure is based on two reported LC-UV methods. The improved procedure includes a leaching process using ACN, saponification, and SPE using polymeric cartridges. The proposed method was validated according to the EU criteria established for quantitative screening methods in PFS. The extraction efficiencies, decision limits (CCα) and detection capabilities (CCβ), for these compounds were in the ranges of 82-100%, 19-40, and 24-53 μg/kg, respectively. The repeatability and the within-laboratory reproducibility at 1.0, 1.5, and 2.0 CCβ levels were smaller than 10%. Accuracy was in the 97-101% range. The robustness was evaluated using the Youden robustness test. This method was applied to the analysis of steroids in different kinds of FS with satisfactory results. |
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Bibliography: | http://dx.doi.org/10.1002/jssc.200800025 ArticleID:JSSC200800025 Consejería de Educación de la Comunidad de Madrid - No. 07G/047.1/2003 ark:/67375/WNG-1H0WXGD9-3 CONACyT-México istex:D96433F320B50AD01DCF54E54E8AB2E27DCD20F9 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 1615-9306 1615-9314 |
DOI: | 10.1002/jssc.200800025 |