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利用气相色谱-质谱联用和毛细管电泳技术开发用于测定生物固体中内分泌干扰化学物质的比较方法。

Development of comparative methods using gas chromatography-mass spectrometry and capillary electrophoresis for determination of endocrine disrupting chemicals in bio-solids.

作者信息

Regan F, Moran A, Fogarty B, Dempsey E

机构信息

Department of Applied Science, Limerick Institute of Technology, Ireland.

出版信息

J Chromatogr B Analyt Technol Biomed Life Sci. 2002 Apr 25;770(1-2):243-53. doi: 10.1016/s1570-0232(01)00631-6.

Abstract

Two analytical separation techniques are being investigated for their potential in determining a wide range of endocrine disrupting chemicals (EDCs) in the environment. Capillary electrophoresis (CE) in the micellar mode in conjunction with a cyclodextrin (CD) modifier is shown to have potential for determination of alkylphenol breakdown products. Gas chromatography with mass spectrometric (GC-MS) detection is being utilised for validation of the CE method development and in addition as a separation technique to optimise preconcentration using solid-phase extraction. GC has demonstrated potential for the separation of 26 priority chemicals suspected as being endocrine disrupting compounds. The challenge of the method development process lies in the fact that these compounds are of differing polarities, size and charge and therefore are difficult to separate in a single run. Capillary electrophoresis in the CD-MEKC (micellar electrokinetic chromatography) mode is showing potential in this regard. Limits of determination are in the low mg/l range for CE and GC, however, using preconcentration it is possible to improve detection sensitivity with >80% recovery for some analytes and up to 100% recovery for most target species.

摘要

正在研究两种分析分离技术在测定环境中多种内分泌干扰化学物质(EDC)方面的潜力。胶束模式下的毛细管电泳(CE)结合环糊精(CD)改性剂显示出测定烷基酚分解产物的潜力。气相色谱-质谱联用(GC-MS)检测用于验证CE方法的开发,此外还作为一种分离技术,以优化使用固相萃取的预浓缩。气相色谱已证明有潜力分离26种被怀疑为内分泌干扰化合物的优先化学品。方法开发过程面临的挑战在于,这些化合物具有不同的极性、大小和电荷,因此很难在一次运行中分离。CD-MEKC(胶束电动色谱)模式下的毛细管电泳在这方面显示出潜力。CE和GC的测定限在低mg/l范围内,然而,使用预浓缩可以提高检测灵敏度,一些分析物的回收率>80%,大多数目标物种的回收率高达100%。

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