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Quantitative Analysis on Lanthanum-Cerium-Praseodymium-Neodymium in the Stable Extraction Stage Based on Gamma Ray-soft Measurement
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Fei-liang WANG1, Jian-kun ZHAO1, 2, *, Tao ZENG1, Yong-hui LI1, Hai-yan QIU1, Qi ZENG1, 2, Yan-jun DU1, 2, Yu-juan LIU1, 2, He-xi WU1, 2, Xiao-yan LI1, 2, Yi-bao LIU1, 2
Science Technology and Engineering | 2025, 25(4) : 1482 - 1487
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Science Technology and Engineering | 2025, 25(4): 1482-1487
Papers·Nuclear Technology
Quantitative Analysis on Lanthanum-Cerium-Praseodymium-Neodymium in the Stable Extraction Stage Based on Gamma Ray-soft Measurement
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Fei-liang WANG1, Jian-kun ZHAO1, 2, *, Tao ZENG1, Yong-hui LI1, Hai-yan QIU1, Qi ZENG1, 2, Yan-jun DU1, 2, Yu-juan LIU1, 2, He-xi WU1, 2, Xiao-yan LI1, 2, Yi-bao LIU1, 2
Affiliations
  • 1 College of Nuclear Science and Engineering, East China University of Technology, Nanchang 330013, China
  • 2 Engineering Technology Research Center of Nuclear Radiation Detection and Application, Nanchang 330013, China
Published: 2025-02-08 doi: 10.12404/j.issn.1671-1815.2402324
Outline
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Quality distribution detection is regarded as a crucial basis for regulating the rare earth extraction process. The variation of the lanthanum (La), cerium (Ce), praseodymium (Pr), and neodymium (Nd) solution system during the saponified P507-kerosene extraction is significant, showing obvious nonlinear characteristics such as time-varying and strong coupling. Moreover, the solution system exhibits no apparent color change. Existing soft measurement methods based on machine vision and artificial neural networks have shown unsatisfactory application effects. To address these issues, a mechanistic modeling method was first employed to construct a mathematical model for the quantitative analysis of the four components. Subsequently, by measuring the characteristic gamma-ray intensity information of the natural radioactive isotope 138La@1.436 MeV (auxiliary variable), the mass distribution information of the four components (main variable) was predicted simultaneously. Finally, experiments were conducted based on a high-purity germanium detector. The results show that the minimum detectable mass concentration of La is 1.70 g/L. Compared with the experimental results, the relative errors of the predicted mass concentrations of La, Ce, Pr, and Nd are -3.11%~4.23%, -5.81%~3.74%, -8.16%~6.68%, and -19.87%~14.20%, respectively. The relative errors of the sensitivity prediction are 1.33%, 5.56%, -3.20%, and -0.41%, respectively. The proposed “gamma ray-soft measurement” method enables high-accuracy and high-sensitivity prediction of the four components La, Ce, Pr, and Nd. The detection process is not affected by changes in extraction system density, acidity, temperature, and other parameters, providing new technical references for rare earth extraction quality distribution detection.

rare earth  /  extraction separation  /  soft measurement  /  component content  /  gamma spectrum
Fei-liang WANG, Jian-kun ZHAO, Tao ZENG, Yong-hui LI, Hai-yan QIU, Qi ZENG, Yan-jun DU, Yu-juan LIU, He-xi WU, Xiao-yan LI, Yi-bao LIU. Quantitative Analysis on Lanthanum-Cerium-Praseodymium-Neodymium in the Stable Extraction Stage Based on Gamma Ray-soft Measurement[J]. Science Technology and Engineering, 2025 , 25 (4) : 1482 -1487 . DOI: 10.12404/j.issn.1671-1815.2402324
Year 2025 volume 25 Issue 4
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Article Info
doi: 10.12404/j.issn.1671-1815.2402324
  • Receive Date:2024-04-01
  • Online Date:2025-07-29
  • Published:2025-02-08
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  • Received:2024-04-01
  • Revised:2024-11-25
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Affiliations
    1 College of Nuclear Science and Engineering, East China University of Technology, Nanchang 330013, China
    2 Engineering Technology Research Center of Nuclear Radiation Detection and Application, Nanchang 330013, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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