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

doi:10.2166/WS.2021.042

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

Civil and Environmental Engineering

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

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^2þ) from aqueous solutions. In batch experiments, the effects of initial Fe^2þ concentration, pH, and aeration pressure on the Fe^2þ oxidation efficiency were carried out. The results showed that initial concentrations, pH and aeration pressure are significant parameters influencing Fe^2þ oxidation. On the basis of single factor experiments, the Box–Behnken design was used to optimize the Fe^2þ oxidation conditions with NBs using three parameters (Fe^2þ concentration, pH, and aeration pressure) under the response surface methodology. The optimal Fe^2þ 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^2þ 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^2þ oxidation process with NBs. It is concluded that NBs technology is promising for Fe^2þ oxidation from water.

Original language	English (US)
Pages (from-to)	1608-1617
Number of pages	10
Journal	Water Science and Technology: Water Supply
Volume	21
Issue number	4
DOIs	https://doi.org/10.2166/WS.2021.042
State	Published - Jun 1 2021

All Science Journal Classification (ASJC) codes

Water Science and Technology

Keywords

Box–Behnken design
Iron removal
Nanobubbles
Optimization
Response surface optimization

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10.2166/WS.2021.042

Cite this

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title = "Optimization of iron removal in water by nanobubbles using response surface methodology",

abstract = "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 (Fe2{\th}) from aqueous solutions. In batch experiments, the effects of initial Fe2{\th} concentration, pH, and aeration pressure on the Fe2{\th} oxidation efficiency were carried out. The results showed that initial concentrations, pH and aeration pressure are significant parameters influencing Fe2{\th} oxidation. On the basis of single factor experiments, the Box–Behnken design was used to optimize the Fe2{\th} oxidation conditions with NBs using three parameters (Fe2{\th} concentration, pH, and aeration pressure) under the response surface methodology. The optimal Fe2{\th} 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 Fe2{\th} 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 Fe2{\th} oxidation process with NBs. It is concluded that NBs technology is promising for Fe2{\th} oxidation from water.",

keywords = "Box–Behnken design, Iron removal, Nanobubbles, Optimization, Response surface optimization",

author = "Cuizhen Sun and Guoxiu Wang and Caijuan Sun and Rupeng Liu and Zhibin Zhang and Taha Marhaba and Wen Zhang",

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T1 - Optimization of iron removal in water by nanobubbles using response surface methodology

AU - Sun, Cuizhen

AU - Wang, Guoxiu

AU - Sun, Caijuan

AU - Liu, Rupeng

AU - Zhang, Zhibin

AU - Marhaba, Taha

AU - Zhang, Wen

PY - 2021/6/1

Y1 - 2021/6/1

N2 - 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 (Fe2þ) from aqueous solutions. In batch experiments, the effects of initial Fe2þ concentration, pH, and aeration pressure on the Fe2þ oxidation efficiency were carried out. The results showed that initial concentrations, pH and aeration pressure are significant parameters influencing Fe2þ oxidation. On the basis of single factor experiments, the Box–Behnken design was used to optimize the Fe2þ oxidation conditions with NBs using three parameters (Fe2þ concentration, pH, and aeration pressure) under the response surface methodology. The optimal Fe2þ 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 Fe2þ 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 Fe2þ oxidation process with NBs. It is concluded that NBs technology is promising for Fe2þ oxidation from water.

AB - 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 (Fe2þ) from aqueous solutions. In batch experiments, the effects of initial Fe2þ concentration, pH, and aeration pressure on the Fe2þ oxidation efficiency were carried out. The results showed that initial concentrations, pH and aeration pressure are significant parameters influencing Fe2þ oxidation. On the basis of single factor experiments, the Box–Behnken design was used to optimize the Fe2þ oxidation conditions with NBs using three parameters (Fe2þ concentration, pH, and aeration pressure) under the response surface methodology. The optimal Fe2þ 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 Fe2þ 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 Fe2þ oxidation process with NBs. It is concluded that NBs technology is promising for Fe2þ oxidation from water.

KW - Box–Behnken design

KW - Iron removal

KW - Nanobubbles

KW - Optimization

KW - Response surface optimization

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

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