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电凝聚法处理棕榈油厂废水:高电流应用的优化工艺。

Electrocoagulation treatment of raw palm oil mill effluent: Optimization process using high current application.

机构信息

Faculty of Civil Engineering Technology, Universiti Malaysia Pahang (UMP), Lebuhraya Tun Razak, 26300, Gambang, Kuantan, Pahang, Malaysia.

Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, Riyadh, 11433, Saudi Arabia.

出版信息

Chemosphere. 2022 Jul;299:134387. doi: 10.1016/j.chemosphere.2022.134387. Epub 2022 Mar 23.

DOI:10.1016/j.chemosphere.2022.134387
PMID:35339529
Abstract

In the electrocoagulation wastewater treatment process, extremely polluted water treatment requires an effective technique, and using high current is one of those. This study aims to optimize electrocoagulation parameters such as operation time, electrodes gap and the initial pH by applying high current intensity to treat palm oil mill effluent (POME) via Box-Behnken design (BBD) method. Chemical oxygen demand (COD), biological oxygen demand (BOD), and suspended solids (SS) were used as the response variables in the quadratic polynomial model. Most of the selected models in the analysis of variance (ANOVA) have shown significant results. A high connection between the parameters and dependent variables was surprisingly discovered in this study which the obtained value of R for removal percentage of COD, BOD and SS were 0.9975, 0.9984 and 0.9979 respectively. Optimal removal was achieved at 19.07 A of current intensity (equivalent to 542 mA/cm of current density), 44.97 min of treatment time, 8.60 mm of inter-electrode distance and 4.37 of pH value, resulted in 97.21%, 99.26% and 99.00% of COD, BOD and SS removal respectively. This optimized scheme of operating parameters combination offers an alternate choice for enhancing the treatment efficiency of POME and also can be a benchmark for other researchers to treat highly polluted wastewater.

摘要

在电凝聚废水处理过程中,极污染的水处理需要有效的技术,而使用高电流就是其中之一。本研究旨在通过 Box-Behnken 设计 (BBD) 方法应用高电流强度处理棕榈油厂废水 (POME),优化电凝聚参数,如操作时间、电极间隙和初始 pH 值。化学需氧量 (COD)、生化需氧量 (BOD) 和悬浮固体 (SS) 被用作二次多项式模型中的响应变量。方差分析 (ANOVA) 中大多数选定的模型都显示出显著的结果。本研究令人惊讶地发现,参数与因变量之间存在高度关联,COD、BOD 和 SS 的去除率的 R 值分别为 0.9975、0.9984 和 0.9979。在电流强度为 19.07 A(相当于 542 mA/cm 的电流密度)、处理时间为 44.97 分钟、电极间距离为 8.60 mm 和 pH 值为 4.37 的最佳条件下,COD、BOD 和 SS 的去除率分别达到 97.21%、99.26%和 99.00%。这种优化的操作参数组合方案为提高 POME 的处理效率提供了另一种选择,也可以为其他研究人员处理高污染废水提供基准。

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