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Electrocoagulation for the treatment of textile industry effluent – A review
Abstract
Various techniques such as physical, chemical, biological, advanced oxidation and electrochemical are used for the treatment of industrial effluent. The commonly used conventional biological treatment processes are time consuming, need large operational area and are not effective for effluent containing toxic elements. Advanced oxidation techniques result in high treatment cost and are generally used to obtain high purity grade water. The chemical coagulation technique is slow and generates large amount of sludge. Electrocoagulation has recently attracted attention as a potential technique for treating industrial effluent due to its versatility and environmental compatibility. This technique uses direct current source between metal electrodes immersed in the effluent, which causes the dissolution of electrode plates into the effluent. The metal ions, at an appropriate pH, can form wide range of coagulated species and metal hydroxides that destabilize and aggregate particles or precipitate and adsorb the dissolved contaminants. Therefore, the objective of the present manuscript is to review the potential of electrocoagulation for the treatment of industrial effluents, mainly removal of dyes from textile effluent.
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Chemical coagulation or flocculation is being replaced by newer methods or used in combination with other methods to reduce drawbacks such as potentially toxic sludge production and need for further treatment of effluent.
“Chemical coagulation or flocculation is being replaced by newer methods or used in combination with other methods, in order to reduce the effect of some major drawbacks such as potentially toxic sludge production and need for further treatment of the effluent 61 .”
From Degradation of anthraquinone dyes from effluents: A review focusing on enzymatic dye degradation with industrial potential (2020) · cites this paper as [61]
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Metadata
- Authors
- Khandegar, V., & Saroha, A. K.
- Venue
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 128
- Pages
- 949-963
- ISSN
- 0301-4797
- Cited by
- 669
- References
- 0
- Language
- en
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