UAE-DLLME-SFO-HPLC测定沉积物中的十溴联苯醚

在正交试验设计基础上, 采用GANN模型及Matlab遗传算法工具箱对超声辅助萃取（ultrasonic assisted extraction, UAE） 上浮溶剂固化（solidification of floating organic drop, SFO） 分散液液微萃取（dispersive liquid liquid microextraction, DLLME）的萃取条件进行优化, 建立了沉积物中十溴联苯醚的液相色谱测定方法. 结果表明: 所建方法线性范围为2~9 595 ng/g, 相关系数R₂=0.999 4, 检出限（S/N=3）及定量限（S/N=10）分别为0.6 ng/g及2.0 ng/g; 在434.4 ng/g质量比下, 方法加标回收率为98.20%（RSD=5.2%, n=3）.

Determination of Decabrominated Diphenyl Ether in Surficial Sediments Based on UAE-DLLME-SFO-HPLC

A method for the determination of decabrominated diphenyl ether (BDE 209) in surficial sediments was developed based on solidificationof 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).