Abstract:

A method for the determination of decabrominated diphenyl ether (BDE209) in surficial sediments was developed based on solidification of floating organic drop coupled with ultrasonicassisted dispersive liquidliquid microextraction (UAEDLLMESFO) and genetic algorithm neural network (GANN) model. The established UAEDLLMESFOHPLC method has a wide linear range (2— 9 595 ng/g) with R2=0.999 4. The limit of detection (LOD, S/N=3) and limit of quantitation (LOQ, S/N=10) of the proposed method were 0.6 ng/g and 2.0 ng/g, respectively. The recovery of added BDE209 in the real samples
at BDE209 level of 434.4 ng/g was 98.20% (RSD=5.2%, n=3).

Key words: decabrominated diphenyl ether, genetic algorithm neural network, solidification of floating organic drop, dispersive liquidliquid microextraction, high performance liquid chromatography