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

Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment(2022)

Cited 1|Views4
No score
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.
More
Translated text
Key words
Hydrolysis,chicken meat,high-performance liquid chromatography,metabolites of nitrofurans,partitioned dispersive liquid–liquid microextraction
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined