@article {82,
	title = {Relationship between perfluorooctanoate and perfluorooctane sulfonate blood concentrations in the general population and routine drinking water exposure.},
	journal = {Environ Int},
	volume = {126},
	year = {2019},
	month = {2019 Feb 15},
	pages = {54-60},
	abstract = {<p>In regions with heavily contaminated drinking water, a significant contribution of drinking water to overall human perfluorooctane sulfonate (PFOS) and perfluorooctanoate (PFOA) exposure has been well documented. However, the relationship of PFOA/PFOS blood concentrations in the general population to routine drinking water exposure is not well characterized. This study determined the PFOA and PFOS concentrations in 166 drinking water samples across 28 cities in China. For 13 of the studied cities, PFOA and PFOS concentrations were analyzed in 847 human blood samples which were collected in parallel with the drinking water samples. The geometric mean PFOA and PFOS concentrations in drinking water were 2.5 {\textpm} 6.2 ng/L and 0.7 {\textpm} 11.7 ng/L, and population-weighted geometric mean blood concentrations were 2.1 {\textpm} 1.2 ng/mL and 2.6 {\textpm} 1.3 ng/mL, respectively. We found a significant correlation between the PFOA concentration in drinking water and blood (r = 0.87, n = 13, p \&lt; 0.001). The total daily intake of PFOA (0.24-2.13 ng/kg/day) and PFOS (0.19-1.87 ng/kg/day) were back-calculated from the blood concentrations with a one-compartment toxicokinetic model. We estimated relative source contributions (RSCs) of drinking water to total daily intake in China of 23 {\textpm} 3\% for PFOA and 12.7 {\textpm} 5.8\% for PFOS. Using the mean RSCs, we derived the health advisory values of 85 ng/L for PFOA and 47 ng/L for PFOS in China.</p>},
	issn = {1873-6750},
	doi = {10.1016/j.envint.2019.02.009},
	author = {Zhang, Shiyi and Kang, Qiyue and Peng, Hui and Ding, Mengyu and Zhao, Fanrong and Zhou, Yuyin and Dong, Zhaomin and Zhang, Haifeng and Yang, Min and Tao, Shu and Hu, Jianying}
}
@article {114,
	title = {Derivatization method for sensitive determination of fluorotelomer alcohols in sediment by liquid chromatography-electrospray tandem mass spectrometry.},
	journal = {J Chromatogr A},
	volume = {1288},
	year = {2013},
	month = {2013 May 03},
	pages = {48-53},
	abstract = {<p>Fluorotelomer alcohols (FTOHs) are the main precursors of environmentally ubiquitous perfluorinated acids, and determination of FTOHs at low concentrations presents significant challenges. In this study, a new liquid chromatography-electrospray mass spectrometry (LC-ESI-MS) method in conjunction with low-energy collision dissociation tandem mass spectrometry (CID-MS/MS) was developed by employing an optimized derivatization reaction with dansyl chloride (DNS) in acetonitrile under catalysis of 4-(dimethylamino)-pyridine (DMAP). The instrument detection limits (IDLs) of the newly developed method were 0.014, 0.015, 0.014, 0.0075 and 0.0093μg/L for 4:2 FTOH, 6:2 FTOH, 8:2 FTOH, 10:1 FTOH and 10:2 FTOH respectively, which were 7.5-241 times lower than those without derivatizaiton and 57-357 times lower than previous GC/MS method. The method was successfully applied to analyze FTOHs in sediments combined with WAX and silica cartridges cleanup. The overall method recoveries were from 67{\textpm}6.0\% to 83{\textpm}9.4\% with matrix effects of \&lt;15\%. The limits of quantification for all FTOHs were 0.017-0.060ng/gdry weight (dw). The method was applied to analyze six marine sediment samples from Liaodong Bay, China. All FTOHs except for 10:1 FTOH were detected, and the total concentrations of FTOHs were 0.19-0.52ng/gdw. The developed method provides a new method to sensitively determine FTOHs in environmental matrices.</p>},
	keywords = {Alcohols, China, Chromatography, High Pressure Liquid, Environmental Pollutants, Fluorocarbons, Geologic Sediments, Reproducibility of Results, Sensitivity and Specificity, Spectrometry, Mass, Electrospray Ionization, Tandem Mass Spectrometry},
	issn = {1873-3778},
	doi = {10.1016/j.chroma.2013.02.085},
	author = {Peng, Hui and Hu, Kejun and Zhao, Fanrong and Hu, Jianying}
}
