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Removing fluorine and chlorine from zinc oxide dust by wet alkaline washing and studying fluorine occurrence states

  • Xixi Wang , Jiahui Li , Pu Sun , Zhigan Deng EMAIL logo , Xingbin Li , Mingting Li and Chang Wei
Published/Copyright: January 9, 2025

Abstract

When zinc hydrometallurgy is used to treat zinc oxide dust (ZOD), the fluorine (F) and chlorine (Cl) in the dust interfere with zinc electrowinning. To investigate the effectiveness of F and Cl removal from ZOD by different alkaline washing methods. Under the condition that 16 g/L Na2CO3 was mixed with 6 g/L NaOH in equal volume 1:1 and reacted with the dust under the optimum condition of the liquid-solid ratio of 5 mL/g for 2 h at 70 °C, final pH of 10, and stirring intensity of 400 rpm, the dechlorination of cloth bag zinc oxide dust (CBZOD) and boiler zinc oxide dust (BZOD) were 94.81 % and 90.63 %, respectively, and the defluorination were 84.81 % and 24.50 %, respectively. To further reveal the reasons for the difficult removal of F from ZOD, a step extraction method and physical phase analysis of residue were used, which resulted in more than 98 % removable fluoride in CBZOD and up to 56 % insoluble residue in BZOD. Therefore, it is obvious that the removal effect is better due to the presence of large amounts of removable fluoride and chloride in CBZOD; the F states and percentage of insoluble fluoride are main reasons affecting the removal of F.


Corresponding author: Zhigan Deng, Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China; and State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Kunming 650093, China, E-mail:

Funding source: Yunnan Major Scientific and Technological Projects

Award Identifier / Grant number: 202202AG050008

Award Identifier / Grant number: 202302AB080012

Funding source: Science and Technology Talent Programme of Yunnan

Award Identifier / Grant number: 202405AC350015

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: Xixi Wang and Zhigan Deng designed the experiments and prepared the manuscript with contributions from all co-authors. Jiahui Li carried experiments and data processing out. Chang Wei designed the experiment procedure. Xingbin Li and Mingting Li conducted the samples analysis. The sequence of authors were determined on their contribution. The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

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

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: This research was financially supported by the Science and Technology Talent Programme of Yunnan (Grant Nos. 202405AC350015) and Yunnan Major Scientific and Technological Projects in China (Grant Nos. 202202AG050008, 202302AB080012).

  7. Data availability: The raw data can be obtained on request from the corresponding author.

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Received: 2024-09-30
Accepted: 2024-12-18
Published Online: 2025-01-09

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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