Optimization of iron removal in water by nanobubbles using response surface methodology

Cuizhen Sun, Guoxiu Wang, Caijuan Sun, Rupeng Liu, Zhibin Zhang, Taha Marhaba, Wen Zhang

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Iron contamination, causing staining, discoloration and bad taste, is a worldwide water problem. It is necessary to focus on iron oxidation from the water. This work aims to develop nanobubbles (NBs) technology to remove iron (Fe) from aqueous solutions. In batch experiments, the effects of initial Fe concentration, pH, and aeration pressure on the Fe oxidation efficiency were carried out. The results showed that initial concentrations, pH and aeration pressure are significant parameters influencing Fe oxidation. On the basis of single factor experiments, the Box–Behnken design was used to optimize the Fe oxidation conditions with NBs using three parameters (Fe concentration, pH, and aeration pressure) under the response surface methodology. The optimal Fe oxidation was achieved when the initial concentration was 13.7 mg·L-1, pH ¼ 9, and the aeration pressure was 290 kPa. The regression model of Fe oxidation rate under optimized test conditions is accurate and effective. The results showed that the combination of single factor test and response surface optimization can be used to optimize the Fe oxidation process with NBs. It is concluded that NBs technology is promising for Fe oxidation from water.

Original languageEnglish (US)
Pages (from-to)1608-1617
Number of pages10
JournalWater Science and Technology: Water Supply
Issue number4
StatePublished - Jun 1 2021

All Science Journal Classification (ASJC) codes

  • Water Science and Technology


  • Box–Behnken design
  • Iron removal
  • Nanobubbles
  • Optimization
  • Response surface optimization


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