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Optimization and evaluation of the process variable’s effect on color and turbidity removal from coffee processing wastewater: Using a photoelectrochemical oxidation process

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dc.contributor.advisor
dc.contributor.author Bidira, Firomsa
dc.contributor.author Asmelash, Zerihun
dc.contributor.author Kebede, Seifu
dc.contributor.author Bekele, Abrham
dc.date.accessioned 2023-11-29T12:51:22Z
dc.date.available 2023-11-29T12:51:22Z
dc.date.issued 2023-01-28
dc.identifier.uri https://repository.ju.edu.et//handle/123456789/8924
dc.description.abstract d: Coffee is the foundation of Ethiopia’s economy, but the wastewater generated by coffee processing cannot be properly treated, therefore, causing various environmental problems. Methods:In this research, electrochemical oxidation(ECO) and photo electrochemical oxidation(PECO) are combined with UV and hydrogen peroxide (UV/H2 O2 ) to reduce organic compounds in coffee processing effluent with color and turbidity effect. The effects of various experimental parameters such as hydrogen solubility (pH), sodium chloride and calcium chloride (NaCl and CaCl2 ) concentrations, current and electrolysis time, and H2 O2 dose were investigated. Results: The results were investigated and analyzed using response surface methodology (RSM) and Microsoft Excel. The color (99.6%) and turbidity (99.4%) were removed by combining ECO with UV/ H2 O2 , which produces high amounts of hydroxyl ions (OH- ), oxidizes large amounts of contaminants, and increases efficiency. These results were obtained at pH 7, current of 0.40 AMP, and 1.5 g CaCl2 after 40 minutes of electrolysis. The operating factors were pH, electrolyte dosage, time, current and H2 O2 , which plays a major role in increasing the removal capacity of photoelectrochemical oxidation for coffee processing waste water treatment. CaCl2 was once more wonderful in the removal of organic compounds from coffee processing effluents. Conclusion: Therefore, the introduction of this ultraviolet light is a powerful oxidant with H2 O2 , which can improve pollution control. An analysis of variance (ANOVA) with a 95% confidence interval can be used to determine the magnitude of the independent variable. en_US
dc.language.iso en_US en_US
dc.subject Coffee en_US
dc.subject Wastewater en_US
dc.subject Water purification en_US
dc.subject Ethiopia en_US
dc.title Optimization and evaluation of the process variable’s effect on color and turbidity removal from coffee processing wastewater: Using a photoelectrochemical oxidation process en_US
dc.type Article en_US


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