Development of Extraction Methods for the Analysis of Perfluorinated Compounds in Leather with High Performance Liquid Chromatography Tandem Mass Spectrometry

5th Annual International Conference on Material Science and Environmental Engineering

材料科学;生态环境科学

Zhang, Yan^1 ; Wang, Youchao^1 ; Tang, Chuanjiang^1 ; Nie, Jingmei^1 ; Xu, Chengtao^1

Department of Materials Science and Engineering, Beijing Institute of Fashion Technology, No. A2, East Yinghua Street, Chaoyang, Beijing

100029, China^1

关键词: Concentration levels;    Elution conditions;    High-performance liquid chromatography tandem mass spectrometries;    Liquid chromatography tandem mass spectrometry (LC MS/MS);    Liquid extraction;    Perfluorinated compound (PFCs);    Perfluorinated compounds;    Solid-phase extraction;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/301/1/012046/pdf
DOI  :  10.1088/1757-899X/301/1/012046

来源: IOP

【 摘 要 】

Perfluorinated compounds (PFCs), used to provide water, oil, grease, heat and stain repellency to a range of textile and other products, have been found to be persistent in the environment and are associated with adverse effects on humans and wildlife. This study presents the development and validation of an analytical method to determine the simultaneous presence of eleven PFCs in leather using solid-phase extraction followed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The perfluorinated compounds were primarily extracted from the samples by a liquid extraction procedure by ultrasonic, in which the parameters were optimized. Then the solid-phase extraction (SPE) is the most important advantages of the developed methodology. The sample volume and elution conditions were optimized by means of an experimental design. The proposed method was applied to determine the PFCs in leather, where the detection limits of the eleven compounds were 0.09-0.96 ng/L, and the recoveries of all compounds spiked at 5 ng/L concentration level were in the range of 65-96%, with a better RSD lower than 19% (n = 7).