Optimisation of supramolecular solvent microextraction of multiple benzimidazole from freshwater fish using RSM and...

In this study, a simple and efficient vortex-assisted supramolecular solvent microextraction (VA-SUPRA-ME) method for the simultaneous extraction of 8 BMZs from freshwater fish was established using response surface methodology (RSM) and artificial neural network genetic algorithm (ANN-GA) based on the comprehensive score M from the entropy weight method. The SUPRAS was added to the fish matrix and the benzimidazole extracted were determined by HPLC-PDA. The SUPRAS consisted of 2 mL n-decanol, 6 mL tetrahydrofuran and 32 mL water. The optimised extraction methods (425 μL SUPRAS, vortexing for 4.75 min and pH 6.5) were linearly good with correlation coefficients >0.9990. The recoveries ranged from 92.89 % to 112.29 %, with relative standard deviations (RSDs) of <6.4 %. The limits of detection (LODs) ranged from 0.005 to 0.010 mg kg^-1 and the limit of quantification (LOQs) from 0.017 to 0.033 mg kg^-1. This method offers faster extraction, lower solvent use and efficient multi-component extraction.