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Exploration of Digestion Method for Determination of Heavy Metal Elements in Soil by ICP-MS |
MENG Ru2,4, DU Jin-hua1,2*, LIU Yun-hua1,2, LUO Lin-tao1,3, HE Ke1,2, LIU Min-wu1,2, LIU Bo1,3 |
1. Shaanxi Key Laboratory of Land Consolidation, Xi’an 710075, China
2. School of Earth Science and Resources,Chang’an University,Xi’an 710064,China
3. Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi’an 710075,China
4. Zhuhai Institute of Urban Planning and Design, Zhuhai 519000, China |
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Abstract In order to improve the wet digestion of soil samples with high organic matter content, this paper by ICP-MS compared to analyze Copper (Cu), Chromium (Cr), Lead (Pb), Cadmium (Cd), Nickel (Ni) and Zinc (zinc) in national soil component analysis standard materials (GSS-1a—GSS-8a) by five different digestion systems, and they were the H2O2-HF-HNO3, HCl-HNO3-HF, HNO3·3HCl-3HNO3·HCl-HNO3-HF, H2O2-HCl-HNO3-HF and LOI-HNO3-HF. 103Rh was used as the internal standard element in the determination of ICP-MS,and the appropriate monitoring mode was selected for different determination elements. The results showed that the digestion effect of Cu, Cr, Pb, Cd, Ni and Zn was the best when setting the heating rate of 3 ℃·min-1, calcining at 550 ℃ for 3 h, and then digesting with nitric acid and hydrofluoric acid after cooling. The results of standard addition recovery experiment shown that there was no significant difference between the measured value and the standard value of the standard substance. The recovery rate of standard addition is 91%~105%, which shown that the accuracy and precision of this method met the requirements. In the hydrogen peroxide-hydrofluoric acid-nitric acid system and hydrogen peroxide-hydrochloric acid-nitric acid-hydrofluoric acid system, the decomposition of hydrogen peroxide is severe when heated, and the digestion solution is easy to splash, resulting in low test results. The test results of hydrochloric acid-nitric acid-hydrofluoric acid system and aqua regia-aqua regia-nitric acid-hydrofluoric acid digestion system are not stable, which may be due to the interference of Cl- on the mass spectrum of the instrument, and in the open system, CrO2Cl12 is easy to volatilize during the sample decomposition process, resulting in low Cr content. At the same time, the above methods are also applied to the comparative analysis of soil samples with high organic matter collected from the peat land of Lake Dajiuhu. The result shown that the digestion method of loss on ignition-nitric acid-hydrofluoric acid digestion system was more thorough, with less acid addition, less interference and stable test results, so this method was suitable for digestion of large quantities of samples with high organic matter content.
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Received: 2020-11-09
Accepted: 2021-03-21
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Corresponding Authors:
DU Jin-hua
E-mail: dujinhua@chd.edu.cn
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[1] Wang Y G,Qi Y,Hu J L,et al. Environment International,2014,73: 413.
[2] Minkina T M,Mandzhieva S S,Chaplygin V A,et al. Journal of Geochemical Exploration, 2017,174: 113.
[3] HU Xin(胡 忻). Chemical Analysis and Meterage(化学分析计量),2009,18(2): 84.
[4] XIAO Ya-bing,CAI Guo-rui,WANG Wei(肖亚兵, 蔡国瑞, 王 伟). Food Research and Development(食品研究与开发),2013,34(8): 124.
[5] WANG Jing,HUANG Wei-xiong,LIANG Xu-xia,et al(王 晶,黄伟雄,梁旭霞,等). Journal of Environment and Health(环境与健康杂志),2016,33(5): 448.
[6] CHU Zhuo-dong,XIAO Ya-bing,LIU Wen-ju,et al(褚卓栋,肖亚兵,刘文菊,等). Environmental Monitoring in China(中国环境监测),2009,25(5): 57.
[7] ZHOU Xiao-chun,LIU Shu,DENG Zong-hai,et al(周小春,刘 澍,邓宗海,等). Environmental Protection Science(环境保护科学),2011,37(1): 60.
[8] Gaudino S,Galas C,Belli M,et al. Accreditation & Quality Assurance,2007,12(2): 84.
[9] LI Rui-ping(李锐平). Chemical Analysis and Meterage(化学分析计量),2015,24(1): 58.
[10] Wasim Yawar,Kashif Naeem,Perveen Akhter,et al. Journal of Saudi Chemical Society,2010,14(1): 125.
[11] WANG Xiao,ZHAN Xiang-juan,GAO Hang,et al(王 啸,展向娟,高 航,等). Chemical Analysis and Meterage(化学分析计量),2019,28(1): 55.
[12] SONG Xin-lai,WANG Yao-jing,ZHANG Zhuo,et al(宋鑫莱,王耀晶,张 琢,等). Journal of Agro-Environment Science(农业环境科学学报),2015,34(8): 1522.
[13] HOU Peng-fei,JIANG Ye,CAO Lei(侯鹏飞,江 冶,曹 磊). Journal of Geology(地质学刊),2019,43(1): 166.
[14] HU Cai-li,MA Yu-zhen,GUO Chao,et al(胡彩莉,马玉贞,郭 超,等). Earth and Environment(地球与环境),2016,44(1): 110. |
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