Preparation And Recognition Property Of Molecularly Imprinted Ionic Liquid Polymer Of Chlorsulfuron

Pesticide residue is the significant factor that affects safety of foods. Effective determination method is the guarantee for food safety. Currently, more strict demand of maximum residue limit of pesticide needs more sensitive determination methods. For the real demand, an enrichment sorbents was synthesized and applied for pretreatment in the determination of trace chlorsulfuron (CS) in real samples.With chlorsulfuron as template, vinylimidazolium ionic liquid as functional monomer, ethylene glycol dimethylacrylate (EGDMA) as cross-linker, a selective molecularly imprinted polymer (MIP) was prepared and characterized by scanning electron microscopy (SEM), Nitrogen adsorption experiments, FT-IR spectroscopy. The MIP was also evaluated by static, kinetic adsorption and selective experiments. The polymer displays good selectivity, and fast kinetics in terms of adsorption and desorption.The material was applied as enrichment sorbent for online solid-phase extraction coupled with high performance liquid chromatography to detect trace enrofloxacin in water samples. The parameters affecting the procedure including the sample pH, loading flow rate and time, the eluting time were optimized in this research.With a sample loading flow rate of1.0mL min-1for50.0min, the enrichment factor and limit of detection (LOD) are102and1.0ng L-1, respectively. The precision (RSD) for nine replicate online sorbent extractions of0.5μg L-1chlorsulfuron was less than2.2%. The sorbent also offered good linearity (0.005-30μg L-1, R2=0.9948) for online solid-phase extraction of trace levels of chlorsulfuron.To evaluate the usefulness of the novel imprinted sorbent, the three kinds of surface water samples, determined to be free of chlorsulfuron, were spiked with three levels of chlorsulfuron (1.0μg L-1,3.0μg L-1and5.0μg L-1) and analyzed after simple pretreatment under optimal experimental conditions. Using the developed method, recoveries ranged from81.0-110.1%with relative standard deviations (RSD) ranging from1.2to7.6%for the water samples. It is proved that the detection of chlorsulfuron in water samples is feasible in this method.