Treatment of commercial industrial wastewater using electrocoagulation: Understanding effect of operating conditions

Abstract The wastewater generated from various stages in pharmaceutical industries such as production, washing processes, and formulation contains a wide range of hazardous chemicals. The objective of this study is to investigate the application of electrocoagulation (EC) for the treatment of real industrial pharmaceutical wastewater obtained from various processing stages. Aluminium and stainless steel (SS) electrodes were used to conduct the treatment. The effects of important operating conditions for EC such as current density (1.08–3.33A/cm 2 ), electrode spacing (varied from 4 to 7 cm), pH (from 4.0 to 10.0), and poly aluminium chloride (PAC) dose (chemical oxygen demand [COD]: PAC ratio as 1:0.025–1:0.3) on the COD removal efficiency have been studied. TDS and electrical conductivity were also monitored during the treatment. The optimum COD reduction was observed at a current density of 1.33 A/cm 2 , an electrode spacing of 5 cm, a pH of 7, and a COD: PAC dosage ratio of 1:0.2. The maximum COD reduction recorded for samples A, B, C, and D corresponding to various stages were 62%, 71%, 51%, and 86%, respectively. It was also concluded that the COD reduction was improved after the addition of external coagulant as PAC. The research work has clearly confirmed that the EC process can be considered as an effective method of treatment for COD reduction.

Institutions

Publication Details

Journal
The Canadian Journal of Chemical Engineering
Published
2025-12-14
DOI
https://doi.org/10.1002/cjce.70204
Primary Topic
Advanced oxidation water treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Treatment of commercial industrial wastewater using electrocoagulation: Understanding effect of operating conditions

The Canadian Journal of Chemical Engineering
Advanced oxidation water treatment
article

Treatment of commercial industrial wastewater using electrocoagulation: Understanding effect of operating conditions

article en

Abstract

Abstract The wastewater generated from various stages in pharmaceutical industries such as production, washing processes, and formulation contains a wide range of hazardous chemicals. The objective of this study is to investigate the application of electrocoagulation (EC) for the treatment of real industrial pharmaceutical wastewater obtained from various processing stages. Aluminium and stainless steel (SS) electrodes were used to conduct the treatment. The effects of important operating conditions for EC such as current density (1.08–3.33A/cm 2 ), electrode spacing (varied from 4 to 7 cm), pH (from 4.0 to 10.0), and poly aluminium chloride (PAC) dose (chemical oxygen demand [COD]: PAC ratio as 1:0.025–1:0.3) on the COD removal efficiency have been studied. TDS and electrical conductivity were also monitored during the treatment. The optimum COD reduction was observed at a current density of 1.33 A/cm 2 , an electrode spacing of 5 cm, a pH of 7, and a COD: PAC dosage ratio of 1:0.2. The maximum COD reduction recorded for samples A, B, C, and D corresponding to various stages were 62%, 71%, 51%, and 86%, respectively. It was also concluded that the COD reduction was improved after the addition of external coagulant as PAC. The research work has clearly confirmed that the EC process can be considered as an effective method of treatment for COD reduction.

The Canadian Journal of Chemical Engineering
Institute of Chemical Technology (IN)
Clean water and sanitation
Openalex Percentile: Top 39%
Advanced oxidation water treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.