Optimization of Electrocoagulation Process for the Removal of Chromium from Simulated Water Using the Response Surface Methodology

被引：3

作者：

Amitesh ^{[1
]}

Dohare, Devendra ^{[1
]}

Jyoti, Ghoshna ^{[2
]}

Rekhete, Chhaya ^{[3
]}

Dubey, Savita ^{[3
]}

Prajapati, Abhinesh Kumar ^{[3
]}

机构：

[1] Shri Govindram Seksaria Inst Technol & Sci, Dept Civil Engn Appl Mech, Indore 452003, India

[2] Guru Ghasidas Vishwavidyalaya Cent Univ, Dept Chem Engn, Bilaspur 495009, Chhattisgarh, India

[3] IPS Acad Inst Engn & Sci, Dept Chem Engn, Indore 452012, India

来源：

JOURNAL OF WATER CHEMISTRY AND TECHNOLOGY | 2023年 / 45卷 / 05期

关键词：

simulated water; central composite design (CCD); Cr(VI) reduction; electrocoagulation (EC); SS (stainless steel) electrode; WHEY WASTE-WATER; AQUEOUS-SOLUTION; ELECTROCHEMICAL TREATMENT; ALUMINUM;

D O I：

10.3103/S1063455X2305003X

中图分类号：

O69 [应用化学];

学科分类号：

081704 ;

摘要：

This work is an attempt to remove Cr(VI) from simulated wastewater using electrocoagulation (EC) process where stainless steel (SS) is used as a sacrificial electrode. The central composite design (CCD) of response surface methodology (RSM) is used to optimize different operating parameters including initial pH (pH(i): 1.5-9.5), current density (j: 20.75-104.15 A/m(2)), electrode gap (g: 1.5-2.5 cm), and treatment time (t: 0-30 min), with respect to the removal of Cr(VI) from simulated water. The high coefficient of determination for Cr(VI) (R-2 = 0.9922) was found by the analysis of variance (ANOVA) between the experimental data and the predicted data using a second-order regression model. The maximum Cr(VI) removal of 88.9% was achieved at optimum conditions (pH 3.5, j = 83.3 A/m(2), g = 1.75 cm, and t = 24 min) as reflected by ANOVA analysis. A foam and residues analysis has also been incorporated.

引用

页码：429 / 439

页数：11

共 28 条

[1] Statistical Optimization of Electrocoagulation Process for Removal of Nitrates Using Response Surface Methodology
Acharya, Sanigdha
Sharma, S. K.
Chauhan, Garima
Shree, Darshan
[J]. INDIAN CHEMICAL ENGINEER, 2018, 60 (03) : 269 - 284
[2] Removal of ciprofloxacin from hospital wastewater using electrocoagulation technique by aluminum electrode: Optimization and modelling through response surface methodology
Ahmadzadeh, Saeid
Asadipour, Ali
Pournamdari, Mostafa
Behnam, Behzad
Rahimi, Hamid Reza
Dolatabadi, Maryam
[J]. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2017, 109 : 538 - 547
[3] Optimization of C.I. Acid Red 14 azo dye removal by electrocoagulation batch process with response surface methodology
Aleboyeh, A.
Daneshvar, N.
Kasiri, M. B.
[J]. CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2008, 47 (05) : 827 - 832
[4] [Anonymous], 2001, Pollution Control Acts, Rules, and Notifications issued Thereunder
[5] [Anonymous], 2005, Design and Analysis of Experiments
[6] APHA, 1998, Standard Methods for the Examination of the Water and Wastewater
[7] Optimization of lead removal by electrocoagulation from aqueous solution using response surface methodology
Assadi, Ali
Fazli, Mehran Mohammadian
Emamjomeh, Mohammad Mehdi
Ghasemi, Maryam
[J]. DESALINATION AND WATER TREATMENT, 2016, 57 (20) : 9375 - 9382
[8] Application of response surface methodology for chromium removal by adsorption on low-cost biosorbent
Ben Khalifa, E.
Rzig, B.
Chakroun, R.
Nouagui, H.
Hamrouni, B.
[J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2019, 189 : 18 - 26
[9] Electrocoagulation removal of Cr(VI) from simulated wastewater using response surface methodology
Bhatti, Manpreet S.
Reddy, Akepati S.
Thukral, Ashwani K.
[J]. JOURNAL OF HAZARDOUS MATERIALS, 2009, 172 (2-3) : 839 - 846
[10] Electrochemical technologies in wastewater treatment
Chen, GH
[J]. SEPARATION AND PURIFICATION TECHNOLOGY, 2004, 38 (01) : 11 - 41

← 1 2 3 →