Fast screening method to determine metabolites of nitrofurans in chicken meat using partitioned dispersive liquid–liquid microextraction combined with HPLC/DAD

Abstract

Methods have been developed for the hydrolysis and derivatisation of protein-bound metabolites of nitrofurans and for the extraction of 2-nitrobenzaldehyde derivatives of the metabolites from chicken meat. In this work, the time needed for hydrolysis and derivatisation was reduced from the conventional 16 h to 90 min. Based on partitioned dispersed liquid–liquid microextraction, a method for extracting 2-nitrobenzaldehyde derivatives of metabolites from crude chicken meat has been developed. Under the optimised experimental conditions, enrichment factors (EFs) ranging from 92.8 to 208.9 were obtained. The method was linear over the range of 10–600 µg kg⁻¹ with determination coefficients (r²) between 0.9979 and 0.9996. Intraday and interday repeatability expressed as a percentage RSD, ranged from 2.2% to 11.2%, and 2.7% to 12.4%, respectively. LOD of 1.07–2.25 µg kg⁻¹ and LOQ of 3.09–6.2 µg kg⁻¹ were obtained. The proposed method was applied in the analysis of metabolites of nitrofurans in chicken meat obtained from farmers using them for their domestic consumption and proved free of the analytes. A recovery of 85.2–109.4% with a %RSD ranging between 3.4% and 13.7% was obtained at three spiking levels. The proposed method was successfully further applied for the analysis of target analytes in chicken meat samples purchased from different supermarkets around Roodeport, Gauteng (South Africa). There was no target analyte detected in the analysed samples. Therefore, the developed methods can be used for monitoring the corresponding metabolites of nitrofurans in chicken meat.

Keywords:

• Hydrolysis
• partitioned dispersive liquid–liquid microextraction
• metabolites of nitrofurans
• chicken meat
• high-performance liquid chromatography

Acknowledgements

The authors acknowledge the University of South Africa for the financial support of the student during his Ph.D. studies and for providing the laboratory facilities for this research. In addition, the authors also acknowledge Madda Walabu University, Ethiopia, for sponsoring the Ph.D. study.

Disclosure statement

No potential conflict of interest was reported by the author(s).