A re-assessment of nickel-doping method in iron isotope analysis on rock samples using multi-collector inductively coupled plasma mass spectrometry
A re-assessment of nickel-doping method in iron isotope analysis on rock samples using multi-collector inductively coupled plasma mass spectrometry
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多接收器电感耦合等离子体质谱法对岩石样品铁同位素分析中镍掺杂方法的重新评估
DOI:
10.1007/s11631-019-00392-4
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发表时间:
2020-01
期刊:
影响因子:
1.6
通讯作者:
Yaoling Niu
中科院分区:
文献类型:
--
作者:
Hongmei Gong;Pengyuan Guo;Shuo Chen;Meng Duan;Pu Sun;Xiaohong Wang;Yaoling Niu
Element doping has been proved to be a useful method to correct for the mass bias fractionation when analyzing iron isotope compositions. We present a systematic re-assessment on how the doped nickel may affect the iron isotope analysis in this study by carrying out several experiments. We find three important factors that can affect the analytical results, including the Ni:Fe ratio in the analyte solutions, the match of the Ni:Fe ratio between the unknown sample and standard solutions, and the match of the Fe concentration between the sample and standard solutions. Thus, caution is required when adding Ni to the analyte Fe solutions before analysis. Using our method, the δ56Fe and δ57Fe values of the USGS standards W-2a, BHVO-2, BCR-2, AGV-2 and GSP-2 are consistent with the recommended literature values, and the long-term (one year) external reproducibility is better than 0.03 and 0.05‰ (2SD) for δ56Fe and δ57Fe, respectively. Therefore, the analytical method established in our laboratory is a method of choice for high quantity Fe isotope data in geological materials.
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DOI:
10.1111/ggr.12241
发表时间:
2018-10
期刊:
Geostandards and Geoanalitical Research
影响因子:
--
作者:
Li Jin;Tang Suohan;Zhu Xiangkun;Li Zhihong;Li Shizhen;Yan Bin;Wang Yue;Sun Jian;Shi Yao;Dong Aiguo;N.S. Belshaw;Zhang Xingchao;Liu Shengao;Liu Jihua;Wang Deli;Jing Shaoyong;Anthony S. Cohen;Hou KeJun
通讯作者:
Hou KeJun
影响因子:
5.3
作者:
S. Weyer;A. Anbar;G. Brey;C. Münker;K. Mezger;A. Woodland
通讯作者:
S. Weyer;A. Anbar;G. Brey;C. Münker;K. Mezger;A. Woodland
影响因子:
3.9
作者:
M. Millet;J. Baker;C. E. Payne
通讯作者:
M. Millet;J. Baker;C. E. Payne
影响因子:
3.7
作者:
V. A. Finlayson;J. Konter;Lin Ma
通讯作者:
V. A. Finlayson;J. Konter;Lin Ma
影响因子:
3.4
作者:
Liu, Sheng-Ao;Li, Dandan;Lu, Yinghuai
通讯作者:
Lu, Yinghuai