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| Rapid Quantitative Analysis of Acidic Ions in In-Situ Leaching Solution Using Cavity-Enhanced Raman Spectrometry |
| LI Wen1, LUO Cheng-kui1*, CHEN Shi-heng2*, JIN Hao-shu2, LI Jie1, LI Yi-bo1 |
1. Institute of Mechanical and Electrical Engineering, North China University of Technology, Beijing 100144, China
2. Beijing Research Institute of Chemical and Engineering Metallurgy, CNNC, Beijing 101121, China
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Abstract A cavity-enhanced Raman spectrometer equipped with an automatic sampling and waste disposal device was designed to address the challenge of rapid quantitative analysis of ions in uranium ore in situ leaching solutions. Standard solutions of SO2-4, NO-3, CO2-3, and HCO-3 were tested to establish standard quantitative analysis models for these anions. This enables rapid quantitative analysis of these ions in in-situ leaching solutions from a uranium mine in China. Compared to other enhancement cavities, near-concentric cavities offer better cost-effectiveness and structural simplicity, enhancing Raman scattering signals by increasing the number of reflections of the incident laser light. The near-concentric cavity used in this experiment enhanced the Raman scattering signal by 23.77 times for single-beam incident laser light. To avoid the cumbersome nature of manual operations and the introduction of experimental errors, a dedicated automatic sampling and waste disposal device was designed for the cavity-enhanced Raman spectrometer, capable of functions such as selective sampling, sampling liquid level monitoring, air purging, and automatic waste disposal. The inclusion of the automatic sampling and waste disposal device aids in expanding the functionality of the cavity-enhanced Raman spectrometer in online detection. Compared to traditional quantitative analysis methods (such as titration), cavity-enhanced Raman spectroscopy offers advantages such as high sensitivity, ease of operation, no need for reagent pretreatment, non-destructive detection, rapid detection, and the ability to detect multiple molecules and ions simultaneously, providing a novel and efficient analytical tool for fields such as chemical analysis. Experimental results show that the detection limits of this technique for SO2-4, NO-3, CO2-3, and HCO-3 are 50, 50, 17, and 30 mg·L-1, respectively, with correlation coefficients (R2) of the established standard quantitative analysis models exceeding 0.999, demonstrating excellent analytical performance and linear response capabilities. Five sets of tests were conducted on actual in-situ leaching sample solutions from two mining areas using the models, revealing that the acid leaching solution contained SO2-4 and NO-3, with average ion concentrations of 10 743.10 and 1 253.52 mg·L-1, respectively, and relative standard deviations (RSD) of 0.39% and 1.39%, respectively. In contrast, the neutral leaching solution contained SO2-4, CO2-3, and HCO-3, with average ion concentrations of 1 400.87, 98.31, and 550.04 mg·L-1, respectively, and RSD of 1.42%, 2.13%, and 1.69%, respectively. The comparison of experimental results using cavity-enhanced Raman spectroscopy showed much smaller errors than those using titration, further demonstrating the great application value of cavity-enhanced Raman spectroscopy in accurate and efficient quantitative analysis of ions in solutions.
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Received: 2024-06-27
Accepted: 2024-11-08
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Corresponding Authors:
LUO Cheng-kui, CHEN Shi-heng
E-mail: 2217046383@qq.com; 89387815@qq.com
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[1] YANG De-wang, GUO Jin-jia, DU Zeng-feng, et al(杨德旺, 郭金家, 杜增丰, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2015, 35(3): 645.
[2] Petrov Dmitry V. Applied Optics, 2016, 55(33): 9521.
[3] Pinyi W, Weigen C, Fu W, et al. Applied Spectroscopy Reviews, 2020, 55(5): 393.
[4] Hoffmann Günter G. Infrared and Raman Spectroscopy: Principles and Applications. De Gruyter, 2023.
[5] CHEN Shi-heng, HUANG Qiang-wei, DU Zhi-ming, et al(陈士恒, 黄蔷薇, 杜志明, 等). Chemical Analysis and Meterage(化学分析计量), 2023, 32(7): 60.
[6] Li L, Zhang X, Luan Z, et al. Geochemistry, Geophysics, Geosystems, 2018, 19(6): 1809.
[7] Schmidt C, Seward M T. Chemical Geology, 2017, 467: 64.
[8] WANG Qiong-yao, ZHANG Wen-hua, ZHAO Ji-ying, et al(王琼瑶, 张文华, 赵继颖, 等). The Journal of Light Scattering(光散射学报), 2018, 30(3): 251.
[9] Duraipandian S, Knopp M, Pollard R M, et al. Analytical Methods, 2018, 10(29): 3589.
[10] LIAN Guo-xi, SUN Juan, LI Meng-jiao, et al(连国玺, 孙 娟, 李梦姣, 等). China Mining Magazine(中国矿业), 2023, 32(10): 80.
[11] FENG Zhang-zhe，LIU Jin-hui, YANG Yi-han, et al(丰章哲, 刘金辉, 阳奕汉, 等). Nonferrous Metals(Mining Section)[有色金属(矿山部分)], 2024, 76(2): 14.
[12] JI Hong-bin，SUN Zhan-xue, ZHOU Yi-peng, et al(吉宏斌, 孙占学, 周义朋, 等). Atomic Energy Science and Technology(原子能科学技术), 2019, 53(8): 1386.
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