Application of response surface methodology for air assisted-dispersive liquid- liquid microextraction of deoxynivalenol in rice samples prior to HPLC-DAD analysis and comparison with solid phase extraction cleanup.

A fast, simple, and easy to operate air assisted-dispersive liquid-liquid microextraction (AA-DLLME) for preconcentration and extraction of deoxynivalenol (DON) from rice samples is proposed and compared with solid phase extraction (SPE) cleanup. DON was determined using a high performance liquid chromatography with diode-array detection (HPLC-DAD). AA-DLLME was performed using a glass syringe and dispersion of extractant in the sample solution was achieved with help of air bubbles. Chloroform was used as the extractant solvent. To find out the optimized condition for the proposed method, response surface methodology (RSM) was applied for multivariate optimization of effecting parameters namely volume of extractant, number of extraction, pH, and rate of centrifugation. Under optimized condition the dynamic range of calibration graph was found to be 50-500μgL-1 with detection limit of 23.6μgL-1. Both methods were applied for extraction of DON from rice.