Determination of β-Blockers in Bovine and Porcine Tissues and Bovine Milk by High-Performance Liquid Chromatography – Tandem Mass Spectrometry

Abstract

The illicit use of β-blockers in food-producing animals may induce the presence of these compounds in meat and milk. The presence of β-blockers in these foods is a safety issue. A simple and economic high-performance liquid chromatography – tandem mass spectrometry method was developed and validated for β-blockers in bovine and porcine muscle, kidney, liver, and bovine milk. The focus of the study was on the detection and quantitation of acebutolol, atenolol, betaxolol, carazolol, metoprolol, nadolol, penbutolol, and propranolol. Homogenized tissues were digested with glucuronidase/aryl sulfatase to release the analytes that were extracted with acetonitrile and purified using matrix solid-phase dispersion. For residues in milk, acidolysis and extraction utilized trichloroacetic acid and acetonitrile and the samples were purified using mixed-mode cation exchange solid phase extraction. Standard curves generated using homogenized tissues and milk matrices were linear with correlation coefficients exceeding 0.99. The limits of detection and quantification were 1 μg/kg and 2.5 μg/kg, respectively, for all analytes in the meat tissues. The corresponding values for milk were 0.2 μg/kg and 0.5 μg/kg. The average recoveries of the spiked samples were from 84.4 to 114.2% with the standard deviations of the intra- and inter-day assays from 2.0 to 14.6% and 2.9 to 18.7%, respectively. This method is simple, economical, and time-saving for the determination of β-blockers in bovine tissue, porcine tissue, and bovine milk.

Keywords:

• β-Blocker
• edible bovine and porcine tissue
• high-performance liquid chromatography – tandem mass spectrometry (HPLC-MS/MS)
• milk
• solid-phase extraction (SPE)

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This project was supported by the National Natural Science Foundation of China [Grant numbers 31702291, 31572571], Doctoral Fund of Jiangsu Province [No. 1601049A], and the Priority Academic Program Development of Jiangsu Higher Education Institutions, China.