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Synthesis, structural transformation and magnetic properties of the Nd(III)-doped Fe3−xNd x O4 (0 ≤ x ≤ 0.9): an analogue for actinicles immobilization

  • Zaihong Wang , Yongheng Lu EMAIL logo , Zhenfang Cai , Yabin He and Yiqiang Sun
Published/Copyright: October 11, 2024
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Abstract

Magnetite (Fe3O4) is increasingly valued for its excellent performance on radioactive wastes disposal. Here, Fe3−xNd x O4 (0 ≤ x ≤ 0.9) components are synthesized using a co-precipitation method to simulate the solidification capacity for trivalent actinides in Fe3O4. These components are characterized by X-ray diffraction, X-ray photoelectron spectroscopy, Fourier transform infrared spectroscopy and Raman, demonstrating that with the increasement of Nd(III) content, the samples gradually transformed from inverse spinel to orthorhombic phase. And x ≤ 0.6, Nd(III) can be solidified to Fe3O4 lattice via replacing octahedron Fe(III). Furthermore, the vibrating sample magnetometer tests manifest that Fe3−xNd x O4 (0 ≤ x ≤ 0.9) components hold the capable of responding to external magnetic field, which makes magnetic separation feasible. Our findings are expected to provide a promising idea for radioactive wastes disposal.


Corresponding author: Yongheng Lu, China North Nuclear Fuel Co., Ltd., P.O. Box 456, Baotou, Inner Mongolia 011500, China; and CNNC Key Laboratory on Fabrication Technology of Reactor Irradiation Special Fuel Assembly, P.O. Box 456, Baotou, Inner Mongolia 011500, China, E-mail:

Award Identifier / Grant number: 20802170

Acknowledgments

We thank Dr. Wei Zhang, Dr. Ruishi Xie, Dr. Xiufang Qi and Dr. Ru Jia for assistance with ICP, XRD, FT-IR and Raman. This work was supported by National Natural Science Foundation of China (20802170).

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: Zaihong Wang and Yongheng Lu designed the study. Zhenfang Cai and Yabin He performed the Nd(III)-doped Fe3−x NdxO4 (0 ≤ x ≤ 0.9) experiments. Zaihong Wang analysed the data. Yiqiang Sun characterized samples with ICP, XRD, FT-IR and Raman. Zaihong Wang, Yongheng Lu, Zhenfang Cai, Yabin He and Yiqiang Sun wrote the paper and discussed the results and commented on the manuscript.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: None declared.

  6. Research funding: This work was supported by National Natural Science Foundation of China (20802170).

  7. Data availability: Not applicable.

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Received: 2024-03-19
Accepted: 2024-09-04
Published Online: 2024-10-11
Published in Print: 2024-10-28

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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