Optimisation of supramolecular solvent microextraction of multiple benzimidazole from freshwater fish using RSM and ANN-GA methodology based on the comprehensive score M evaluated by the entropy weight method.

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 and the limit of quantification (LOQs) from 0.017 to 0.033 mg kg. This method offers faster extraction, lower solvent use and efficient multi-component extraction.