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

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+) from aqueous solutions. In batch experiments, the effects of initia...

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Autores principales: Cuizhen Sun, Guoxiu Wang, Caijuan Sun, Rupeng Liu, Zhibin Zhang, Taha Marhaba, Wen Zhang
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Lenguaje:EN
Publicado: IWA Publishing 2021
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spelling oai:doaj.org-article:30824b4303b04b9186c141cdd1975a522021-11-06T07:15:17ZOptimization of iron removal in water by nanobubbles using response surface methodology1606-97491607-079810.2166/ws.2021.042https://doaj.org/article/30824b4303b04b9186c141cdd1975a522021-06-01T00:00:00Zhttp://ws.iwaponline.com/content/21/4/1608https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798Iron 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+) from aqueous solutions. In batch experiments, the effects of initial Fe2+ concentration, pH, and aeration pressure on the Fe2+ oxidation efficiency were carried out. The results showed that initial concentrations, pH and aeration pressure are significant parameters influencing Fe2+ oxidation. On the basis of single factor experiments, the Box–Behnken design was used to optimize the Fe2+ oxidation conditions with NBs using three parameters (Fe2+ concentration, pH, and aeration pressure) under the response surface methodology. The optimal Fe2+ oxidation was achieved when the initial concentration was 13.7 mg·L−1, pH = 9, and the aeration pressure was 290 kPa. The regression model of Fe2+ 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+ oxidation process with NBs. It is concluded that NBs technology is promising for Fe2+ oxidation from water. HIGHLIGHTS Nanobubbles (NBs) were developed to remove iron (Fe2+) from water.; The initial Fe2+ concentrations, pH, and aeration pressure significantly affected Fe2+ oxidation.; The Box–Behnken design was used to optimize the iron oxidation conditions in NBs system.;Cuizhen SunGuoxiu WangCaijuan SunRupeng LiuZhibin ZhangTaha MarhabaWen ZhangIWA Publishingarticlebox–behnken designiron removalnanobubblesoptimizationresponse surface optimizationWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 4, Pp 1608-1617 (2021)
institution DOAJ
collection DOAJ
language EN
topic box–behnken design
iron removal
nanobubbles
optimization
response surface optimization
Water supply for domestic and industrial purposes
TD201-500
River, lake, and water-supply engineering (General)
TC401-506
spellingShingle box–behnken design
iron removal
nanobubbles
optimization
response surface optimization
Water supply for domestic and industrial purposes
TD201-500
River, lake, and water-supply engineering (General)
TC401-506
Cuizhen Sun
Guoxiu Wang
Caijuan Sun
Rupeng Liu
Zhibin Zhang
Taha Marhaba
Wen Zhang
Optimization of iron removal in water by nanobubbles using response surface methodology
description 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+) from aqueous solutions. In batch experiments, the effects of initial Fe2+ concentration, pH, and aeration pressure on the Fe2+ oxidation efficiency were carried out. The results showed that initial concentrations, pH and aeration pressure are significant parameters influencing Fe2+ oxidation. On the basis of single factor experiments, the Box–Behnken design was used to optimize the Fe2+ oxidation conditions with NBs using three parameters (Fe2+ concentration, pH, and aeration pressure) under the response surface methodology. The optimal Fe2+ oxidation was achieved when the initial concentration was 13.7 mg·L−1, pH = 9, and the aeration pressure was 290 kPa. The regression model of Fe2+ 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+ oxidation process with NBs. It is concluded that NBs technology is promising for Fe2+ oxidation from water. HIGHLIGHTS Nanobubbles (NBs) were developed to remove iron (Fe2+) from water.; The initial Fe2+ concentrations, pH, and aeration pressure significantly affected Fe2+ oxidation.; The Box–Behnken design was used to optimize the iron oxidation conditions in NBs system.;
format article
author Cuizhen Sun
Guoxiu Wang
Caijuan Sun
Rupeng Liu
Zhibin Zhang
Taha Marhaba
Wen Zhang
author_facet Cuizhen Sun
Guoxiu Wang
Caijuan Sun
Rupeng Liu
Zhibin Zhang
Taha Marhaba
Wen Zhang
author_sort Cuizhen Sun
title Optimization of iron removal in water by nanobubbles using response surface methodology
title_short Optimization of iron removal in water by nanobubbles using response surface methodology
title_full Optimization of iron removal in water by nanobubbles using response surface methodology
title_fullStr Optimization of iron removal in water by nanobubbles using response surface methodology
title_full_unstemmed Optimization of iron removal in water by nanobubbles using response surface methodology
title_sort optimization of iron removal in water by nanobubbles using response surface methodology
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/30824b4303b04b9186c141cdd1975a52
work_keys_str_mv AT cuizhensun optimizationofironremovalinwaterbynanobubblesusingresponsesurfacemethodology
AT guoxiuwang optimizationofironremovalinwaterbynanobubblesusingresponsesurfacemethodology
AT caijuansun optimizationofironremovalinwaterbynanobubblesusingresponsesurfacemethodology
AT rupengliu optimizationofironremovalinwaterbynanobubblesusingresponsesurfacemethodology
AT zhibinzhang optimizationofironremovalinwaterbynanobubblesusingresponsesurfacemethodology
AT tahamarhaba optimizationofironremovalinwaterbynanobubblesusingresponsesurfacemethodology
AT wenzhang optimizationofironremovalinwaterbynanobubblesusingresponsesurfacemethodology
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