4.6 Article

Preparation of high-purity vaterite CaCO3 from lead-zinc tailings

期刊

SUSTAINABLE CHEMISTRY AND PHARMACY
卷 29, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scp.2022.100835

关键词

Lead -zinc tailings; Carbonation; Vaterite; NH4Cl

资金

  1. Key Laboratory of Hunan Province for Clean and Efficient Utilization of Strategic Calcium-containing Mineral Resources
  2. Major State Basic Research Development Program of China (973 program)
  3. [2018TP1002]
  4. [2014CB643402]

向作者/读者索取更多资源

This study introduced a green scheme for producing high-purity vaterite from lead-zinc tailings, finding that the optimal leaching and carbonization ratios of Ca2+ were 74.87% and 96.96% respectively. Under suitable conditions, spherical CaCO3 with high purity and whiteness was prepared, showing potential for broad application prospects in vaterite production.
This study introduced a green scheme for high value treatment of lead-zinc tailings, which pro-duced high-purity vaterite from lead-zinc tailings. The effects of different experimental parame-ters on the leaching and carbonization of Ca2+ in lead-zinc tailings were discussed. It was found that the optimum leaching ratio of Ca2+ in NH4Cl solution was 74.87% and the optimum car-bonization ratio of Ca2+ in the leaching solution was 96.96%. The spherical CaCO3 with d50 < 10 mu m, 99.41% purity, and 98.70% whiteness was prepared under suitable carbonization conditions. The XRD results showed that the CaCO3 product was high purity vaterite. The pres-ence of NH4+ and Zn2+ in the leaching solution hindered the transformation of vaterite into cal-cite, leading to the formation of high-purity vaterite CaCO3. The SEM results indicated that the dispersants STP or PEG-6000 could improve the dispersion of vaterite, and STP contributed to the formation of fine particle vaterite. This method proposed an approach for the production of va-terite from lead-zinc tailings, broad application prospects.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据