Copper oxide nanoparticles removal by coagulation and optimization by matter–element analysis model

Yongjun Sun, Haibing Sun, Deng Li, Wenquan Sun, Huaili Zheng

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Nanoparticles have been inspected in water environment and sewage treatment plants, but how to achieve efficient removal of them through existing treatment processes is a potential issue. In this study, the organic–inorganic composite coagulant (PAC-CA) was applied to remove copper oxide nanoparticles (CuO-NPs) and study their coagulation behavior and the characteristics of flocs produced by coagulation. Under the optimal coagulation conditions with a dosage of 25 mg/L, pH of 7, stirring intensity of 200 s−1, and settling time of 15 min, the removal rates of CuO-NPs and turbidity were 89.83% and 93.51%, respectively. Zeta potential studies show that the main action mechanism of PAC-CA under low dosage or alkaline conditions is charge neutralization, and under high dosage or acidic conditions, the main action mechanism is adsorption bridging. A matter–element analysis model was established based on the evaluation index of stirring intensity, kaolin concentration, humic acid concentration, initial CuO-NPs concentration, pH, PAC-CA dosage, turbidity removal rate, and CuO-NPs removal rate. Kaolin can promote the removal of CuO-NPs and turbidity by PAC-CA. The main action mechanisms of PAC-CA are charge neutralization and adsorption bridging. PAC-CA has good coagulation performance for CuO-NPs wastewater, and provides a theoretical basis for the practical engineering application of coagulation for removing nanoparticles in wastewater.

Original languageEnglish
Article number107096
JournalJournal of Environmental Chemical Engineering
Volume10
Issue number1
DOIs
StatePublished - Feb 2022

Keywords

  • Coagulation
  • Composite coagulant
  • Copper oxide nanoparticles
  • Matter–element analysis model

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