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采用光电化学氧化工艺处理咖啡加工业废水——使用响应面法优化化学需氧量(COD)去除效果

Wastewater Treatment Using a Photoelectrochemical Oxidation Process for the Coffee Processing Industry Optimization of Chemical Oxygen Demand (COD) Removal Using Response Surface Methodology.

作者信息

Abdi Firomsa Bidira, Samuel Zerihun Asmelash, Debela Seifu Kebede, Amibo Temesgen Abeto

机构信息

Faculty of Civil and Environmental Engineering, Jimma Institute of Technology, Jimma University, Jimma, P.O. Box 378, Ethiopia.

School of Chemical Engineering, Jimma Institute of Technology, Jimma University, Jimma, P.O. Box 378, Ethiopia.

出版信息

Int J Anal Chem. 2022 Jul 31;2022:1734411. doi: 10.1155/2022/1734411. eCollection 2022.

Abstract

The elimination of organic compounds in coffee processing effluent utilizing electrochemical oxidation (ECO) as well as a combination of electrochemical oxidation (ECO) and ultraviolet and hydrogen peroxide (UV/HO) was explored. Then, the percentage reduction of chemical oxygen demand (COD) was investigated. The effect of different experimental factors such as solution pH, sodium chloride (NaCl) concentration, calcium chloride (CaCl) concentration, electric current, electrolysis duration, and hydrogen peroxide dosage on the percent removal efficiency of the hybrid electrochemical oxidation (ECO) with the ultraviolet and hydrogen peroxide (UV/HO) process has been investigated. The response surface methodology (RSM) based on central composite design (CCD) was used to organize the trial runs and optimize the results. The hybrid electrochemical oxidation (ECO) with the ultraviolet and hydrogen peroxide (UV/HO) process removed 99.61% of the chemical oxygen demand (COD) with a low power usage of 1.12 kWh/m compared to the other procedures, according to the experimental data analysis. These findings were obtained with a pH of 7, a current of 0.40 A, 1.5 g of CaCl, and a total electrolysis period of 40 minutes. When it came to eliminating organic compounds from coffee manufacturing effluent, CaCl outperformed NaCl. Analysis of variance (ANOVA) with 95% confidence limits was used to examine the significance of independent variables and their interactions.

摘要

研究了利用电化学氧化(ECO)以及电化学氧化(ECO)与紫外线和过氧化氢(UV/HO)组合来去除咖啡加工废水中有机化合物的方法。然后,研究了化学需氧量(COD)的降低百分比。考察了不同实验因素,如溶液pH值、氯化钠(NaCl)浓度、氯化钙(CaCl)浓度、电流、电解时间和过氧化氢用量对紫外线和过氧化氢(UV/HO)混合电化学氧化(ECO)过程去除效率百分比的影响。基于中心复合设计(CCD)的响应面方法(RSM)用于组织试验运行并优化结果。根据实验数据分析,与其他方法相比,紫外线和过氧化氢(UV/HO)混合电化学氧化(ECO)过程在低功率使用1.12 kWh/m的情况下,去除了99.61%的化学需氧量(COD)。这些结果是在pH值为7、电流为0.40 A、1.5 g CaCl和总电解时间为40分钟的条件下获得的。在去除咖啡生产废水中的有机化合物方面,CaCl的效果优于NaCl。使用具有95%置信限的方差分析(ANOVA)来检验自变量及其相互作用的显著性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3ef/9357802/6d8db6953614/IJAC2022-1734411.001.jpg

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