Abstract

An indirect competitive enzyme-linked immunosorbent assay (icELISA) and an immunochromatographic strip assay using a highly specific monoclonal antibody, were developed to detect methyltestosterone (MT) residues in animal feed. The optimized icELISA had a half-inhibition concentration value of 0.26 ng/mL and a limit of detection value of 0.045 ng/mL. There was no cross-reactivity with eight analogues, revealing high specificity for MT. Based on icELISA results, the recovery rate of MT in animal feed was 82.4%–100.6%. The results were in accordance with those obtained by gas chromatography-mass spectrometry. The developed immunochromatographic strip assay, as the first report for MT detection, had a visual cut-off value of 1 ng/mL in PBS, 2.5 ng/g in fish feed, and 2.5 ng/g in pig feed. Therefore, these immunoassays are useful and fast tools for MT residue detection in animal feed.

Highlights

  • Synthetic androgens have been used in sports and stock farming since the 1950s due to their effects on muscle strength and animal meat production [1]

  • MT in feed and its metabolite residues in meat can contribute to a series of adverse effects, several methods have been developed for the detection of MT residues

  • The most common detection methods are based on chromatography, including high performance liquid chromatography (HPLC) [10,11], liquid chromatography (LC) coupled with mass spectrometry (MS) [12], gas chromatography-mass spectrometry (GC-MS) [13,14] and LC-MS/MS [15,16]

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Summary

Introduction

Synthetic androgens have been used in sports and stock farming since the 1950s due to their effects on muscle strength and animal meat production [1]. The most common detection methods are based on chromatography, including high performance liquid chromatography (HPLC) [10,11], liquid chromatography (LC) coupled with mass spectrometry (MS) [12], gas chromatography-mass spectrometry (GC-MS) [13,14] and LC-MS/MS [15,16]. These methods are both specific and sensitive, but they require tedious sample preparation, complicated spectral analyses, and trained operators, making these methods unsuitable for field detection. ELISA, which has both high selectivity and adequate sensitivity, have been increasingly used in sample analysis [21,22,23]

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