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Simultaneous Identification and Quantitation of 38 Hormonally Growth Promoting Agent Residues in Bovine Muscle by a Highly Sensitive HPLC-MS/MS Method

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Abstract

This work involved the optimization and validation of a quantitative HPLC-MS/MS method to determine 38 hormonally growth promoter residues in bovine muscle, among them steroids, stilbenes, and resorcylic acid lactones. The enzymatic hydrolysis process using β-glucuronidase/aryl sulfatase enzyme derived from Helix Pomatia juice was studied through a 23 factorial design, in which the chosen conditions were to perform the reaction using 50 μL of enzyme at 37.5 °C for 16 h. The validation procedures were executed in accordance with the Decision 657/2002/EC guidelines. A survey study was performed in which 80 samples originated from Brazilian slaughterhouses and imports from third countries were analyzed, and 17β-estradiol, 17α-testosterone, 17β-testosterone, and progesterone were detected in greater concentrations than the respective CCα values. The developed method has been accredited in ISO/IEC 17025 and applicable in regulatory analysis.

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Acknowledgments

The authors are grateful to the National Agricultural Laboratory of Pedro Leopoldo-MG (LANAGRO-MG) and to the Ministry of Agriculture, Livestock and Food Supply of Brazil, for providing its infrastructure and supplies for the development of this work.

Funding

The authors would like to acknowledge the Minas Gerais Research Funding Foundation (process: CAG-APQ-01049-15) and Coordination for the Improvement of Higher Education Personnel (CAPES) for financial support.

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Correspondence to Adriana F. Faria.

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Diego G. Rocha declares that he has no conflict of interest. Mary Ane G. Lana declares that she has no conflict of interest. Rodinei Augusti declares that he has no conflict of interest. Adriana F. Faria declares that she has no conflict of interest.

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Rocha, D.G., Lana, M.A.G., Augusti, R. et al. Simultaneous Identification and Quantitation of 38 Hormonally Growth Promoting Agent Residues in Bovine Muscle by a Highly Sensitive HPLC-MS/MS Method. Food Anal. Methods 12, 1914–1926 (2019). https://doi.org/10.1007/s12161-019-01507-6

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