Process Optimization of Color Removal From an Industrial Azo Dye
P. Kingston Stanley1, Sanjeevi Gandhi. A2, K. Suresh Kumar3, S. Kalidass4
1P. Kingston Stanley, Department of Department of Instrumentation Engineering, Karunya Institute of Technology and Sciences, Coimbatore (TamilNadu), India.
2Sanjeevi Gandhi. A, Department of Electrical and Electronics Engineering, Karpagam college of Engineering, Coimbatore (TamilNadu), India.
3K. Suresh Kumar, Department of Biotechnology, Karunya Institute of Technology and Sciences, Coimbatore (TamilNadu), India.
4S. Kalidass, Department of Animal Sciences, Manonmaniam University, Abishekapatti, (TamilNadu), India.
Manuscript received on 05 February 2019 | Revised Manuscript received on 12 February 2019 | Manuscript Published on 13 February 2019 | PP: 433-437 | Volume-8 Issue- 4S February 2019 | Retrieval Number: DS2902028419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Pure and hygienic water is of great demand but most of the water sources are being contaminated by a variety of pollutants on a daily basis. Effluents from textile industries is one of the prominent causes of water pollution. They contain a mixture of various aromatic and azo dyes, which are made of complex structures and are highly recalcitrant. The dye color in the water bodies become a major aesthetic problem along with other ecological problems. A number of physical and chemical methods are available for dye removal apart from aerobic and anaerobic biological degradation. A majority of these methods have limitations and are less successful in the complete dye removal. Metal nanoparticles are recently being employed in the decolorization of the textile dyes and they show promising results in comparison to other conventional methods. The output of this paper is to design a high efficient process with complete automation. Instrumentation setup plays a major role in the automation of the process.
Keywords: Color Removal, Nano Particle, Color Optical Sensor.
Scope of the Article: Computer Architecture and VLSI