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Determination of Heavy Metals and Rare Earth Elements in Bottom Ash of Waste Incineration by ICP-MS With High-Pressure Closed
Digestion Method |
JUMAHONG Yilizhati1, 2, TAN Xi-juan1, 2*, LIANG Ting1, 2, ZHOU Yi1, 2 |
1. College of Earth Sciences and Land Resources, Chang’an University, Xi’an 710054, China
2. Laboratory of Mineralization and Dynamics, Chang’an University, Xi’an 710054, China
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Abstract In this work, nine heavy metals (Cr, Co, Ni, Cu, Zn, Zr, Cd, Ba and Pb) and sixteen rare earth elements in waste incineration were determined by ICP-MS combined with a high-pressure closed digestion method. The samples were completely decomposed by a mixture of acid of HF-HNO3-HCl (1∶2∶1) at 185 ℃ in high-pressure sealed bombs and a digestion time of 12 h. The operating conditions for ICP-MS (such as temperature of spray chamber, nebulizer gas flow rate, auxiliary gas flow rate, cooler gas flow rate and sampling depth) were also optimized. Here, with Rh as the standard internal element, the obtained linear calibration plots of the studied 25 elements showed relative coefficients (r) were higher than 0.999 9, and the corresponding detection limits were within 0.001~1.01 ng·g-1. This proposed method’sdetermination relative standard deviations (RSDs) for waste incineration samples were less than 4.5% (n=3). Results showed that heavy metals of Cr, Cu, Zn, Zr, Cd, Ba and Pb were relatively high in the studied waste incineration samples, with Pb concentrations as high as (1 459±8) mg·kg-1. While the average total REEs was (199±2) mg·kg-1 with a decreasing trend and enrichment of light REEs. The successful application of this high-pressure closed digestion ICP-MS method to heavy metals and REEs quantification in waste incineration samples is of valuable guidance in the subsequent waste disposal, and future metal recycling.
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Received: 2021-08-19
Accepted: 2022-08-19
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Corresponding Authors:
TAN Xi-juan
E-mail: tanxijuan@hotmail.com
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[1] Li P H, Wang X D, Zou X Y, et al. Environmental Science and Pollution Research, 2019, 26: 26339.
[2] Dekkers S, Miller M R, Schins R P F, et al. Nanotoxicology, 2017, 11: 794.
[3] Gupta P, Sahni M, Chauhan S. Optik, 2021, 240: 166810.
[4] HJ 751—2015. Solid Waste-Determination of Nickel and Copper-Flame Atomic Absorption Spectrometry (固体废物-镍和铜的测定-火焰原子吸收分光光度法)[S]. 2015.
[5] Bauer G, Limbeck A. Microchemical Journal, 2018, 137: 496.
[6] YUAN Xiao-xue, ZHOU Ding-you, LI Jie, et al(袁小雪, 周定友, 李 杰,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2020, 40(8): 2373.
[7] HJ 766—2015. Solid Waste-Determination of Metals-Inductively Coupled Plasma Mass Spectrometry (ICP-MS) (固体废物-金属元素的测定-电感耦合等离子体质谱法)[S]. 2015.
[8] ZHANG Geng-yu, XING Hui, WU Chao(张更宇, 邢 晖, 吴 超). Chinese Journal of Inorganic Analytical Chemistry(中国无机分析化学), 2019, 9(5): 9.
[9] JIA Chen-zhong, ZHAO Kai-li, QIN Qiao-yan(贾陈忠, 赵凯丽, 秦巧燕). Chemical World(化学世界), 2019, 60(6): 346.
[10] YU Ya-hui, LIU Jun, LI Xiao-hui, et al(于亚辉, 刘 军, 李小辉,等). Physical Testing and Chemical Analysis Part B: Chemical Analysis(理化检验-化学分册), 2019, 55(7): 833.
[11] Tan X J, Wang Z M. Journal of Analytical Chemistry, 2020, 75: 1295.
[12] Tan X J, Liu M W, He K. Molecules, 2021, 26: 290.
[13] Wilschefski S C, Baxter M R. The Clinical Biochemist Reviews, 2019, 40: 115.
[14] Olesik J W, Jiao S. Journal of Analytical Atomic Spectrometry, 2017, 32: 951.
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