Study of Residents’ Exposure to Arsenic Near the Yellow River Gan-Ning-Meng Reaches Using Inductively Coupled Plasma Mass Spectrometry
TIAN Meng-jing1, MA Xiao-ling1, JIA Jia1, QIAO Yu1, WU Ting-yan1, LI He-xiang1, LIU Ying1,2*
1. College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
2. Beijing Engineering Research Center of Food Environment and Public Health, Minzu University of China, Beijing 100081, China
Abstract:Human can be exposured to arsenic (As) through the air, drinking water and food and so on. In this paper, the total As concentration of 69 hair samples of local residents living in Hequ (HQ), Shizuishan (SZS), Zhongwei (ZW) and Linxia (LX) and 4 filtered water samples of Yellow River were analyzed by inductively coupled plasma mass spectrometry (ICP-MS). Differences of hair arsenic levels in different gender and age groups and the correlations of As level between hair and water were studied. Hair samples were pretreated by microwave digestion with a satisfactory result. The recoveries and RSD of the method were 90.1%~101.9% and 2.9%~4.2%, respectively. The results showed that hair As concentration ranged for 0.01~1.73 μg·g-1 with an average of 0.33 μg·g-1, followed the sequence of ZW>HQ>LX>SZS. Kruskal Wallis test showed statistical difference (p=0.010) among concentrations of As in hair from the different sampling sites, this indicated that the living area had an effect on the content of As in the residents’ hair. There was no significant difference observed among different gender (p=0.158) and age (p=0.159) groups, but relatively high level of As concentration in hair for males was observed, while the mean concentrations of different age groups showed an age-dependent decrease. Compared with the literatures, the As concentration level of hair in this study was higher than that in most areas, but obviously lower than that in the arsenic-endemic region. The As level in the water of the Yellow River ranged for 2.31~10.41 μg·L-1, which was higher than that of the lower reaches of the Yellow River, but didn’t exceed the surface water environmental quality standard. Pearson correlation coefficients showed that As concentrations in water samples had correlations with Pb, Cu, Cr and Cd and had significant positive correlation with As concentrations in hair samples. In conclusion, the residents living near the sampling sites were at relatively high risk of As exposure, which may mainly derive from industrial and agricultural emissions. This paper could provide experimental data and theoretical basis for As pollution in northwest region such as Gan-Ning-Meng area of China.
Key words:Exposure level;Arsenic;Hair;The Yellow River;Inductively coupled plasma mass spectrometry
基金资助: National Natural Science Foundation of China (21177163), 111 Project B08044, First-class University First-class Academic Program of Minzu University of China (YLDX01013), Special Guidance Fund of Building World First-class Universities (Disciplines) and Characteristic Development (2016), Coordinate Development of First-class and First-class University Discipline Construction Funds (10301-0150200604), The Academic Team Construction Project of Minzu University of China (2015MDTD25C&13C), Student Innovation Project of Minzu University of China (URTP2015110060), First-class Universities and First-class Discipline Construction Transitional Funds Under Special Funding (2016, Master), Collaborative Innovation Center for Ethnic Minority Development, Minzu University of China
通讯作者:
刘 颖
E-mail: liuying4300@163.com
作者简介: TIAN Meng-jing, (1992—), Master of College of Life and Environmental Sciences, Minzu University of China
e-mail:
tianmengjing2016@163.com
引用本文:
田梦靖,马小玲,贾 佳,谯 雨,吴亭燕,李和祥,刘 颖. 电感耦合等离子体质谱法研究黄河甘宁蒙段附近居民砷暴露水平[J]. 光谱学与光谱分析, 2017, 37(05): 1628-1633.
TIAN Meng-jing, MA Xiao-ling, JIA Jia, QIAO Yu, WU Ting-yan, LI He-xiang, LIU Ying. Study of Residents’ Exposure to Arsenic Near the Yellow River Gan-Ning-Meng Reaches Using Inductively Coupled Plasma Mass Spectrometry. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(05): 1628-1633.
[1] Monnot A D, Tvermoes B E, Gerads R, et al. Food Chem., 2016, 211: 107.
[2] Merola R B, Hien T T, Quyen D T T, et al. Sci. Total Environ., 2015, 511: 544.
[3] Agusa T, Trang P T K, Lan V M, et al. Sci. Total Environ., 2014, 488-489: 562.
[4] Chakraborti D, Mukherjee S C, Pati S, et al. Environ. Health Perspect., 2003, 111: 1194.
[5] Qiao L, Zheng X B, Zheng J, et al. Environ. Res., 2016, 148: 177.
[6] Evrenoglou L, Partsinevelou S A, Stamatis P, et al. Sci. Total Environ., 2013, 443: 650.
[7] Huang M J, Chen X W, Shao D D, et al. Ecotox. Environ. Safe., 2014, 102: 84.
[8] Baker J A, Ayad F K, Maitham S A. Karbala International Journal of Modern Science, 2016, 2: 104.
[9] Ma X L, Zuo H, Tian M J. et al. Chemosphere, 2016, 144: 264.
[10] Tong J T, Guo H M, Wei C. Sci. Total Environ., 2014, 496: 479.
[11] Brahman K D, Kazi T G, Afridi H I, et al. Sci. Total Environ., 2016, 544: 653.
[12] Hou W, Sun S H, Wang M Q, et al. Ecol. Indic., 2016, 61: 309.
[13] Bai J H, Xiao R, Zhang K J, et al. J. Hydrol., 2012, 450-451: 244.
[14] Luo R X, Zhuo X Y, Ma D. Ecotox. Environ. Safe., 2014, 104: 215.
[15] Rahmana M, Mamun A A, Karim M R. et al. Chemosphere, 2015, 120: 336.
[16] Hinwood A, Callan A C, Heyworth J, et al. Chemosphere, 2014, 108: 125.
[17] Molina-Villalba I, Lacasaa M, Rodríguez-Barranco M, et al. Chemosphere, 2015, 124: 83.
[18] Hoang T, Bang S, Kim K W, et al. Environ. Pollut., 2010, 158: 2648.
[19] Wang Z X, Yao L, Liu G H, et al. Ecotox. Environ. Safe., 2014, 107: 200.
[20] Schaider L A, Senn D B, Estes E R,et al. Sci. Total Environ., 2014, 490: 456.
[21] El-Sorogy A S, Youssef M, Al-Kahtany K, et al. J. Afr. Earth Sci., 2016, 113: 65.
[22] State Environmental Protection Administration of China. Surface Water Environmental Quality Standard GB 3838—2002. Beijing: China Environmental Science Press, 2002.