Removal Efficiency and Mechanism for Cl− from Strongly Acidic Wastewater by VC-Assisted Cu2O: Comparison Between Synthesis Methods
The discharge of strongly acidic industrial wastewater containing high concentration of chloride ions (Cl<sup>-</sup>) has become one of the major environmental challenges faced globally. For the removal of extremely stable Cl<sup>-</sup> in acidic aqueous conditions, precipitation method possesses major advantages of strong adaptability and simple operation. This study proposed a novel cuprous oxide (Cu<sub>2</sub>O) method assisted by ascorbic acid (VC) for the removal of Cl<sup>-</sup> from strongly acidic wastewater. First, liquid-phase reduction was chosen as the optimal Cu<sub>2</sub>O synthesis method based on product purity and composition. Then, parameter optimization results show that increased reagent dosage and acidity significantly enhanced Cl<sup>-</sup> removal efficiency, while other factors had negligible impacts. After treatment with the sole addition of Cu<sub>2</sub>O, the dosed Cu<sub>2</sub>O existed in four forms, including cuprous chloride (CuCl), copper ion (Cu<sup>2+</sup>), elemental copper (Cu<sup>0</sup>), and Cu<sub>2</sub>O, among which the generation of Cu<sup>2+</sup> and Cu<sup>0</sup>, through the oxidation and disproportionation of cuprous ion (Cu<sup>+</sup>), served as the main reason for the unsatisfactory efficiency in the removal of Cl<sup>-</sup>. Fortunately, VC is precisely capable of inhibiting the side reactions of Cu<sup>+</sup>, and under the assistance of 0.10 g VC, the removal of Cl<sup>-</sup> by Cu<sub>2</sub>O was greatly improved with the multiple of theoretical reagent dosage decreasing from 12 to 3, the residual concentration of Cu<sup>2+</sup> decreasing from 1197 to 18.4 mg/L and the residual concentration of Cl<sup>-</sup> decreasing from 88.4 to 53.8 mg/L, thus validating the feasibility of this method.
Authors
- Wenyue Dou (ORCID: https://orcid.org/0000-0001-5925-9007)
- Haotian Hao
- Ying Yu
- Haoran Liu (ORCID: https://orcid.org/0009-0006-7064-6191)
- Dong Li (ORCID: https://orcid.org/0000-0002-2560-9432)
- Zhen Yan (ORCID: https://orcid.org/0000-0002-6807-2428)
- Jialin Ma
Institutions
- Xuzhou University of Technology (CN)
- Research Center for Eco-Environmental Sciences (CN)
- Xiamen University of Technology (CN)
Publication Details
- Journal
- Toxics
- Published
- 2025-10-17
- DOI
- https://doi.org/10.3390/toxics13100890
- Primary Topic
- Gas Sensing Nanomaterials and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.00