Influence of selected anions on fluoride removal in electrocoagulation/electroflotation

Afshin Maleki; Amir Hossein Mahvi; Hiua Daraei; Reza Rezaei; Negar Meihami; Kazhal Mohammadi; Shiva Zandi

Influence of selected anions on fluoride removal in electrocoagulation/electroflotation

Afshin Maleki, Amir Hossein Mahvi, Hiua Daraei^*, Reza Rezaei, Negar Meihami, Kazhal Mohammadi, Shiva Zandi

^*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

Fluoride removal by electrocoagulation/electrofloatation was investigated as an alternative defluoridation method. Batch experiments with aluminum electrodes were used to investigate, with response surface methodology (RSM), genetic algorithm (GA), and the artificial neural network approach (ANN), the effects on defluoridation by electrocoagulation/electrofloatation of the concentration of usual five co-existing anions (Br^–, Cl^–, NO₃ ^–, SO₄ ^2–, and PO₄ ^2–), and the operational parameters of initial pH, applied electrical current intensity, initial fluoride concentration, and process time. The results demonstrated that the type and concentration of co-existing anions, as well as various operational parameters, had a significant effect on the efficiency of defluoridation by electrocoagulation/electrofloatation.

Original language	English
Pages (from-to)	37-47
Number of pages	11
Journal	Fluoride - Quarterly Reports
Volume	48
Issue number	1
Publication status	Published - 2015
Externally published	Yes

Keywords

Anions
Artificial neural network approach
Co-existing
Electrocoagulation/Electrofloatation
Fluoride removal
Genetic algorithm
Operational parameters
Response surface methodology

Cite this

@article{abe0681745e643658dfdde85b3b69e02,

title = "Influence of selected anions on fluoride removal in electrocoagulation/electroflotation",

abstract = "Fluoride removal by electrocoagulation/electrofloatation was investigated as an alternative defluoridation method. Batch experiments with aluminum electrodes were used to investigate, with response surface methodology (RSM), genetic algorithm (GA), and the artificial neural network approach (ANN), the effects on defluoridation by electrocoagulation/electrofloatation of the concentration of usual five co-existing anions (Br–, Cl–, NO3 –, SO4 2–, and PO4 2–), and the operational parameters of initial pH, applied electrical current intensity, initial fluoride concentration, and process time. The results demonstrated that the type and concentration of co-existing anions, as well as various operational parameters, had a significant effect on the efficiency of defluoridation by electrocoagulation/electrofloatation.",

keywords = "Anions, Artificial neural network approach, Co-existing, Electrocoagulation/Electrofloatation, Fluoride removal, Genetic algorithm, Operational parameters, Response surface methodology",

author = "Afshin Maleki and Mahvi, {Amir Hossein} and Hiua Daraei and Reza Rezaei and Negar Meihami and Kazhal Mohammadi and Shiva Zandi",

note = "Publisher Copyright: {\textcopyright} 2015 The International Society for Fluoride Research Inc.",

year = "2015",

language = "English",

volume = "48",

pages = "37--47",

journal = "Fluoride - Quarterly Reports",

issn = "0015-4725",

publisher = "International Society for Fluoride Research",

number = "1",

}

TY - JOUR

T1 - Influence of selected anions on fluoride removal in electrocoagulation/electroflotation

AU - Maleki, Afshin

AU - Mahvi, Amir Hossein

AU - Daraei, Hiua

AU - Rezaei, Reza

AU - Meihami, Negar

AU - Mohammadi, Kazhal

AU - Zandi, Shiva

PY - 2015

Y1 - 2015

N2 - Fluoride removal by electrocoagulation/electrofloatation was investigated as an alternative defluoridation method. Batch experiments with aluminum electrodes were used to investigate, with response surface methodology (RSM), genetic algorithm (GA), and the artificial neural network approach (ANN), the effects on defluoridation by electrocoagulation/electrofloatation of the concentration of usual five co-existing anions (Br–, Cl–, NO3 –, SO4 2–, and PO4 2–), and the operational parameters of initial pH, applied electrical current intensity, initial fluoride concentration, and process time. The results demonstrated that the type and concentration of co-existing anions, as well as various operational parameters, had a significant effect on the efficiency of defluoridation by electrocoagulation/electrofloatation.

AB - Fluoride removal by electrocoagulation/electrofloatation was investigated as an alternative defluoridation method. Batch experiments with aluminum electrodes were used to investigate, with response surface methodology (RSM), genetic algorithm (GA), and the artificial neural network approach (ANN), the effects on defluoridation by electrocoagulation/electrofloatation of the concentration of usual five co-existing anions (Br–, Cl–, NO3 –, SO4 2–, and PO4 2–), and the operational parameters of initial pH, applied electrical current intensity, initial fluoride concentration, and process time. The results demonstrated that the type and concentration of co-existing anions, as well as various operational parameters, had a significant effect on the efficiency of defluoridation by electrocoagulation/electrofloatation.

KW - Anions

KW - Artificial neural network approach

KW - Co-existing

KW - Electrocoagulation/Electrofloatation

KW - Fluoride removal

KW - Genetic algorithm

KW - Operational parameters

KW - Response surface methodology

UR - http://www.scopus.com/inward/record.url?scp=84983109657&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84983109657

SN - 0015-4725

VL - 48

SP - 37

EP - 47

JO - Fluoride - Quarterly Reports

JF - Fluoride - Quarterly Reports

IS - 1

ER -

Influence of selected anions on fluoride removal in electrocoagulation/electroflotation

Abstract

Keywords

Other files and links

Fingerprint

Cite this