The Mechanism of Moisture Influence and Correction of Electroplating Sludges Testing With EDXRF
TENG Jing1, 2, SHI Yao2, LI Hui-quan2, 3*, LIU Zuo-hua1*, LI Zhi-hong2, HE Ming-xing2, 4, ZHANG Chen-mu2
1. School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, China
2. CAS Key Laboratory of Green Process and Engineering, Innovation Academy for Green Manufacture, Chinese Academy of Sciences, National Engineering Research Center of Green Recycling for Strategic Metal Resources, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
3. School of Chemistry and Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
4. School of Information and Electrical Engineering, Hebei University of Engineering, Handan 056038, China
Abstract Electroplating sludges are produced in wastewater treatment in metal processing, electronic component manufacturing and other industries with hazardous waste containing heavy metals. Many electroplating sludges about 10 million tons every year, have been produced in China. It contains various valuable metal elements such as Zn, Cu, Fe, Ni, Cr, its resource utilization potential is huge. The improper disposal of a large amount of sludges will also endanger human health and pollute the environment. The traditional chemical analysis testing process is complex, but energy-dispersive X-ray fluorescence (EDXRF) spectroscopy analysis is fast, simple, cost-effective, and can achieve in-situ detection. However, the high moisture content and unstable component content of electroplating sludge samples affect the accuracy of test results. It is a difficult to ensure the resource conversion efficiency of key elements and difficult to control environmental pollution. Therefore, it is necessary to analyze the mechanism of water influence in EDXRF detection and explore moisture correction methods to improve the accuracy of test results. The mechanism of the influence of moisture on the spectral background, scattering peak, and target element characteristic peak during the EDXRF testing process of electroplating sludge was studied. By the ratio of target element characteristic peak to Rayleigh scattering peak intensity, and the sample moisture content ω0(wt%) and target element content Ci%, a moisture correction model was established. The experimental correction factors in the moisture correction equation for Ca, Cr, Fe, Ni, Cu, Zn target elements were explored. The results show that the moisture correction model has high accuracy in correcting the five heavy metals Cr, Fe, Ni, Cu, and Zn, and the correlation coefficient R2 between the corrected value and the reference value is high, R2 are higher than 0.95, and RMSE are lesser than 0.05, indicating a low accuracy in correcting Ca elements R2 is 0.93. RMSE is 1.046 require further optimization by adding relevant correction factors. The research is expected to be applied to the moisture correction method for the on-site measurement of electroplating sludge disposal in the recycling copper industry, which can improve the utilization efficiency of electroplating sludge resources and reduce the risk of environmental pollution.
Corresponding Authors:
LI Hui-quan, LIU Zuo-hua
E-mail: liuzuohua@cqu.edu.cn;hqli@home.ipe.ac.cn
Cite this article:
TENG Jing,SHI Yao,LI Hui-quan, et al. The Mechanism of Moisture Influence and Correction of Electroplating Sludges Testing With EDXRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(02): 419-425.
[1] Zhu Xuehong, Zeng Anqi, Zhong Meirui, et al. Resources Policy, 2021, 73: 102216.
[2] Pinto F M, Preira R A, Souza T M, et al. Journal of Environmental Management, 2021, 280: 111706.
[3] LIU Wei, JIANG Shan-qin, JIAO Fen, et al(刘 维, 蒋善钦, 焦 芬,等). Electroplating & Finishing(电镀与涂饰), 2022, 41(8): 585.
[4] WANG Zhuo, GE Liang-quan, ZHANG Qing-xian, et al(王 卓, 葛良全, 张庆贤,等). Nuclear Techniques(核技术), 2012, 35(7): 549.
[5] GE Liang-quan, LAI Wan-chang, LIN Ling, et al(葛良全, 赖万昌, 林 玲,等). Nuclear Techniques(核技术), 2004,(4): 273.
[6] GE Liang-quan, LI Fei(葛良全, 李 飞). Spectroscopy and Spectral Analysis (光谱学与光谱分析), 2021, 41(3): 704.
[7] LIU Yan-de, WAN Chang-lan, SUN Xu-dong, et al(刘燕德, 万常斓, 孙旭东,等). Laser & Infrared(激光与红外), 2011, 41(6): 605.
[8] Li Hequn, Xu Zhiqiang, Wang Weidong, et al. Minerals Engineering, 2019, 131: 14.
[9] JIANG Xiao-yu, LI Fu-sheng, WANG Qing-ya, et al(江晓宇, 李福生, 王清亚,等). Spectroscopy and Spectral Analysis (光谱学与光谱分析), 2022, 42(5): 1535.
[10] Wu Zhiyong, Zhou Jianhong, He Hai, et al. Journal of Hydrology, 2018, 566: 150.
[11] Zhu Yuanda, David C Weindorf, Zhang Wentai. Geoderma, 2012, (189-190): 268.
[12] Ijichi Tetsuya, Matsushima Masatoshi, Koga Eriko, et al. Nihon Hoshasen Gijutsu Gakkai Zasshi, 2022, 78(7):771.