|
|
|
|
|
|
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.
|
Received: 2016-05-31
Accepted: 2016-10-15
|
|
Corresponding Authors:
LIU Ying
E-mail: liuying4300@163.com
|
|
[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. |
[1] |
GUO Wei1, CHANG Hao2*, XU Can3, ZHOU Wei-jing2, YU Cheng-hao1, JI Gang2. Effect of Continuous Laser Irradiation on Scattering Spectrum
Characteristics of GaAs Cells[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3674-3681. |
[2] |
LI Hui-ji1, LI Yan-wen1, YU Wei-wei2, HUANG Ru-meng1, SUN Hai-jie1*, PENG Zhi-kun3*. Theoretical Study on the Structures and IR Spectra of Hydration of Arsenates and Iron Arsenates[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2090-2094. |
[3] |
JIANG Chuan-li1, ZHAO Jian-yun1, 2*, DING Yuan-yuan1, ZHAO Qin-hao1, MA Hong-yan1. Study on Soil Water Retrieval Technology of Yellow River Source Based on SPA Algorithm and Machine Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1961-1967. |
[4] |
WANG Xue-mei1, 2, YUMITI Maiming1, HUANG Xiao-yu1, 2, LI Rui1, 2, LIU Dong1, 2. Estimation of Arsenic Content in Soil Based on Continuous Wavelet
Transform[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 206-212. |
[5] |
GUO Xiao-hua1, ZHAO Peng1, WU Ya-qing1, TANG Xue-ping3, GENG Di2*, WENG Lian-jin2*. Application of XRF and ICP-MS in Elements Content Determinations of Tieguanyin of Anxi and Hua’an County, Fujian Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3124-3129. |
[6] |
WANG Lu1, SUN Feng1, 2*, WANG Ruo-su1, LIANG Ya-xin1, YAO Xue3, ZHAO Fan4. Analysis and Research on Color Paints for Cliff Statues in Qionglai Caves[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3198-3202. |
[7] |
ZHANG Fei1, 5,HUA Xia2*,YUAN Jia-ying3,YOU Fan1,YE Ren-cai4,DING Li4, ZHAO Jian-mei4. Determination of Thallium in Blood of Occupational Exposed Population by Inductively Coupled Plasma Mass Spectrometry With High Matrix Introduction[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2870-2874. |
[8] |
ZHANG Xuan1, 2, 3, WANG Chang-hua1, 2, HU Fang-fei1, 2, MO Shu-min1, 2, LI Ji-dong1, 2, 3*. Determination of Nb and Re in High Purity Tungsten by Precipitation Separation-Inductively Coupled Plasma Mass Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(07): 2169-2174. |
[9] |
ZHU Zhao-zhou1*, YANG Xin-xin1, LI Jun1, HE Hui-jun2, ZHANG Zi-jing1, YAN Wen-rui1. Determination of Rare Earth Elements in High-Salt Water by ICP-MS
After Pre-Concentration Using a Chelating Resin[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1862-1866. |
[10] |
WAN Xiao-ming1, 2, ZENG Wei-bin1, 2, LEI Mei1, 2, CHEN Tong-bin1, 2. Micro-Distribution of Elements and Speciation of Arsenic in the Sporangium of Pteris Vittata[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 478-482. |
[11] |
LI Zhi-yuan1,2, DENG Fan1*, HE Jun-liang2, WEI Wei1. Hyperspectral Estimation Model of Heavy Metal Arsenic in Soil[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(09): 2872-2878. |
[12] |
LI Hui-ji1, SUN Hai-jie1, LIU Na1, PENG Zhi-kun2*, LI Yong-yu1, YAN Dan3. Theoretical Study on the Structures and IR Spectra of Hydration of Arsenates and Iron Arsenates[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(07): 2071-2076. |
[13] |
ZHANG Fei1,HUA Xia2,YOU Fan1,WANG Bin3,MAO Li3*. Determination of Thallium and Its Compounds in Workplace Air by Ultrasonic Extraction-Inductively Coupled Plasma Mass Spectrometry Using No Gas Mode[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(07): 2279-2283. |
[14] |
ZHAO Ting1,2,3, CHI Hai-tao1,2,3*, LIU Yi-ren1,2,3, GAO Xia1,2,3, HUANG Zhao1,2,3, ZHANG Mei1,2,3, LI Qin-mei1,2,3. Determination of Elements in Health Food by X-Ray Fluorescence Microanalysis Combined With Inductively Coupled Plasma Mass Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(03): 750-754. |
[15] |
LI Peng1, LI Zhi2, XU Can2, FANG Yu-qiang2. Research on the Scattering Spectrum of GaAs-Based Triple-Junction Solar Cell Based on Thin-Film Interference Theory[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(10): 3092-3097. |
|
|
|
|