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基于 SPE 时多壁碳纳米管固载化浮动有机液滴分散液液微萃取对水样中有机氯农药的预浓缩。

Preconcentration of organochlorine pesticides in aqueous samples by dispersive liquid-liquid microextraction based on solidification of floating organic drop after SPE with multiwalled carbon nanotubes.

机构信息

Department of Chemistry, Faculty of Sciences, Shahid Bahonar University of Kerman, Kerman, Iran.

出版信息

J Sep Sci. 2014 Jan;37(1-2):114-9. doi: 10.1002/jssc.201301058. Epub 2013 Nov 29.

Abstract

SPE joined with dispersive liquid-liquid microextraction based on solidification of floating organic drop (DLLME-SFO) as a novel technique combined with GC with electron-capture detection has been developed as a preconcentration technique for the determination of organochlorine pesticides (OCPs) in water samples. Aqueous samples were loaded onto multiwalled carbon nanotubes as sorbent. After the elution of the desired compounds from the sorbent by using acetone, the DLLME-SFO technique was performed on the obtained solution. Variables affecting the performance of both steps such as sample solution flow rate, breakthrough volume, type and volume of the elution, type and volume of extraction solvent and salt addition were studied and optimized. The new method provided an ultra enrichment factor (8280-28221) for nine OCPs. The calibration curves were linear in the range of 0.5-1000 ng/L, and the LODs ranged from 0.1-0.39 ng/L. The RSD, for 0.01 μg/L of OCPs, was in the range of 1.39-13.50% (n = 7). The recoveries of method in water samples were 70-113%.

摘要

固相萃取结合分散液液微萃取(DLLME-SFO)作为一种新型技术,与气相色谱电子捕获检测相结合,已被开发为水样中有机氯农药(OCPs)的预浓缩技术。将水样加载到多壁碳纳米管上作为吸附剂。在用丙酮洗脱吸附剂上所需化合物后,在所得溶液上进行 DLLME-SFO 技术。研究并优化了影响这两个步骤性能的变量,如样品溶液流速、穿透体积、洗脱剂类型和体积、萃取溶剂类型和体积以及加盐。该新方法为九种 OCPs 提供了超高的富集因子(8280-28221)。校准曲线在 0.5-1000ng/L 范围内呈线性,LOD 范围为 0.1-0.39ng/L。在 0.01μg/L 的 OCPs 下,RSD 在 1.39-13.50%(n=7)范围内。该方法在水样中的回收率为 70-113%。

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