Garomsa Firomsa Sufa, Berhanu Yenealem Mehari, Desta Wendesen Mekonin, Bidira Firomsa
Department of Water Resourse and Irrigation Engineering, Wollega University, P.O. box 38, Ethiopia.
School of Civil and Environmental Engineering, Jimma Institute of Technology, Jimma University, P.O. Box 378, Ethiopia.
Heliyon. 2024 Nov 14;10(22):e40394. doi: 10.1016/j.heliyon.2024.e40394. eCollection 2024 Nov 30.
Wastewater from human activities, particularly from brewery industries, is a significant source of pollution. Large volumes of biodegradable and non-biodegradable substances found in brewery effluent make them suitable for natural coagulant-assisted electrocoagulation. The treatment options available today are highly harmful and not economical. To solve this problem and provide a simple method of treating brewery wastewater, the biocoagulant (Custard apple)-assisted electrocoagulation process was created. This study presents an environmentally friendly way of treating wastewater by combining electrocoagulation with biocoagulant. The approach treats wastewater from breweries with a high organic load and a variable composition. Bio- and electrocoagulation are used in the process to target certain contaminants and when combined the method has high efficiency and is environmentally also friendly. The performance of bio-coagulant-assisted electrocoagulation was studied, considering parameters such as pH, time, current, and bio-coagulant dosage. In each experiment, operating parameters were adjusted and their removal efficiency was evaluated after treatment. The bio-coagulant-assisted electrocoagulation process removed COD (99.01 %), BOD (99.09 %), TDS (99.02 %), and) at an ideal pH of 7, a current of 0.5 A, a time of 40 min, and power consumed (0.54kwh/m) with a constant dose of 0.75 g/l NaCl as electrolytes. The study found that Indigenous bio-coagulant (Custard apple)-assisted electrocoagulation processes were effective and efficient in removing pollutants from brewery wastewater. In the process of treatment operating factors have a high effect on the performance of the method. The parameters were customized using Response Surface Methodology (RSM), and the dependent variable's value was determined through regression analysis with a design expert.
来自人类活动的废水，尤其是啤酒酿造行业的废水，是一个重要的污染源。啤酒厂废水中含有大量可生物降解和不可生物降解的物质，这使得它们适合采用天然凝聚剂辅助电凝聚法处理。如今现有的处理方法危害极大且不经济。为了解决这个问题并提供一种处理啤酒厂废水的简单方法，人们创造了生物凝聚剂（番荔枝）辅助电凝聚工艺。本研究提出了一种将电凝聚与生物凝聚剂相结合的环保型废水处理方法。该方法用于处理来自啤酒厂的高有机负荷且成分多变的废水。生物凝聚和电凝聚在该过程中用于去除特定污染物，两者结合时该方法效率高且对环境友好。研究了生物凝聚剂辅助电凝聚的性能，考虑了诸如pH值、时间、电流和生物凝聚剂用量等参数。在每个实验中，调整操作参数，并在处理后评估其去除效率。在理想的pH值为7、电流为0.5A、时间为40分钟、以0.75g/l NaCl作为电解质的恒定剂量且功率消耗为（0.54kwh/m）的条件下，生物凝聚剂辅助电凝聚工艺去除了化学需氧量（99.01%）、生化需氧量（99.09%）、总溶解固体（99.02%）等。研究发现，本地生物凝聚剂（番荔枝）辅助电凝聚工艺在去除啤酒厂废水中的污染物方面有效且高效。在处理过程中，操作因素对该方法的性能有很大影响。使用响应面法（RSM）对参数进行了定制，并通过设计专家进行回归分析确定了因变量的值。
