Analysis of a broad range of perfluoroalkyl acids in accipiter feathers: method optimization and their occurrence in Nam Co Basin, Tibetan Plateau
Analysis of a broad range of perfluoroalkyl acids in accipiter feathers: method optimization and their occurrence in Nam Co Basin, Tibetan Plateau
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鹰羽毛中多种全氟烷基酸的分析:方法优化及其在青藏高原纳木错盆地的赋存情况
DOI:
10.1007/s10653-017-9948-z
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发表时间:
2018-10
影响因子:
4.2
通讯作者:
Jiang Guibin
中科院分区:
文献类型:
--
作者:
Li Yili;Gao Ke;Duo Bu;Zhang Guoshuai;Cong Zhiyuan;Gao Yan;Fu Jianjie;Zhang Aiqian;Jiang Guibin
Perfluoroalkyl acids (PFAAs) are ubiquitous in the environment. They are prone to accumulate in organisms and have raised public attention in recent decades. Feather samples have been successfully applied as nondestructive indicators for several contaminants. However, a sophisticated analytical method for determining PFAAs in feathers is still lacking. In the present study, a series of conditions, such as the use of the solid-phase extraction cartridge type and extraction/digestion methods, were optimized for the analysis of 13 PFAAs in feathers. According to the spiked recoveries, a weak-anion exchange cartridge was chosen and the methanol was selected as the extraction solvent. In the present study, an optimized pretreatment procedure combined with high-performance liquid chromatography–electrospray ionization–tandem mass spectrometric (HPLC–ESI–MS/MS) method was established for the determination of PFAAs in feathers. The recoveries and method detection limits of the PFAAs ranged from 71 to 120% and 0.16 to 0.54 ng/g, respectively. Finally, 13 PFAAs in four accipiter feather samples from Nam Co Basin, Tibetan Plateau, were analyzed, indicating that PFOS was the predominant PFAA in accipiter feathers, with an average of 4.67 ng/g, followed by the short-chain PFAAs, PFBS and PFBA, with averages of 1.91 and 1.39 ng/g, respectively. These results partly indicated the current situation of PFAA pollution in the Nam Co Basin, especially the existence of short-chain PFAAs in this region.
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影响因子:
1.7
作者:
Wonwoong Lee;Sun Young Lee;S. Yu;Jongki Hong
通讯作者:
Wonwoong Lee;Sun Young Lee;S. Yu;Jongki Hong
影响因子:
8.9
作者:
T. Kirchgeorg;Annekatrin Dreyer;J. Gabrieli;N. Kehrwald;M. Sigl;M. Schwikowski;C. Boutron;A. Gambaro;C. Barbante;R. Ebinghaus
通讯作者:
T. Kirchgeorg;Annekatrin Dreyer;J. Gabrieli;N. Kehrwald;M. Sigl;M. Schwikowski;C. Boutron;A. Gambaro;C. Barbante;R. Ebinghaus
影响因子:
11.4
作者:
Jiu-jiang Sheng;Xiaoping Wang;P. Gong;D. Joswiak;L. Tian;T. Yao;K. Jones
通讯作者:
Jiu-jiang Sheng;Xiaoping Wang;P. Gong;D. Joswiak;L. Tian;T. Yao;K. Jones
DOI:
10.1016/j.scitotenv.2015.02.043
发表时间:
2015-06
期刊:
The Science of the total environment
影响因子:
--
作者:
G. Munoz;J. Giraudel;Fabrizio Botta;F. Lestremau;M. Devier;H. Budzinski;P. Labadie
通讯作者:
G. Munoz;J. Giraudel;Fabrizio Botta;F. Lestremau;M. Devier;H. Budzinski;P. Labadie
影响因子:
4.1
作者:
Taniyasu, S;Kannan, K;Yamashita, N
通讯作者:
Yamashita, N