4.7 Article

Arsenic and cation metal removal from copper slag using a bipolar membrane electrodialysis system

期刊

JOURNAL OF CLEANER PRODUCTION
卷 338, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2022.130662

关键词

Arsenic; Copper slag; Bipolar membrane electrodialysis; Heavy metals; Recovery

资金

  1. Fujian Provincial Department of Science and Technology [2019Y0010, 2020J05042]
  2. National Natural Science Foundation of China [21507069, 22006016]

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The study found that current density and pH significantly influence the desorption process of metals. Increasing the number of supernatant compartments in the BMED system can improve current efficiency and reduce energy consumption.
A three-step bipolar membrane electrodialysis (BMED) system was used to remove arsenic and cation metals from copper slag (CS) generated during the copper ore hydrometallurgical process. The desorption kinetics results show that pH significantly influences metal desorption from CS. The Elovich model can be used to describe metal desorption. A high current density increased the metal desorption from CS into the supernatant. Metal removal also increased with current density when the BMED system was used for supernatant treatment. Increasing the number of supernatant compartments from one to two and three increased the current efficiency from 38.0% to 75.3% and 112.3%, respectively; the specific energy consumption decreased from 0.051 to 0.035 kWh/g and 0.029 kWh/g of metal removal, respectively. The supernatant (pH = 0.77) could be used as the leaching solution for leaching copper from raw copper ore during the copper ore hydrometallurgical process without discharging wastewater. During the treatment process, 79.6% of AsO43- could be recovered in the form of H3AsO4. The metal removal rates for arsenic, calcium, cadmium, cobalt, chromium, copper, iron, magnesium, nickel and zinc were 96.5%, 22.8%, 75.8%, 54.8%, 49.5%, 59.5%, 71.1%, 65.5%, 48.5% and 83.0%, respectively. Only a small amount of state-stabilised residual state metals remained in the CS, thereby realising the objective of recovering arsenic and removing cation metals. The present method was found to be an efficient and green technique for removing metals from CS and other solid waste materials contaminated with heavy metals.

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