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利用 Box-Behnken 设计方法,从香蕉茎废料中提取的活性炭在灰水中去除重金属离子的应用。

Application of activated carbon from banana stem waste for removal of heavy metal ions in greywater using a Box-Behnken design approach.

机构信息

Department of Environmental and Occupational Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, UPM Serdang, Malaysia.

Institute of Advanced Technology, Universiti Putra Malaysia, UPM Serdang, Malaysia.

出版信息

Environ Technol. 2020 Nov;41(25):3363-3374. doi: 10.1080/09593330.2019.1609590. Epub 2019 Apr 29.

Abstract

There is limited information on the optimal processes to remove heavy metals in greywater. A Response Surface Methodology (RSM) via the Box-Behnken Design (BBD) approach was applied in this study to investigate and optimise the process variables of activation time (1.5-2.5 h), impregnation ratio (0.25-0.75) and zinc chloride (ZnCl) percentage (20-60%) for the removal of heavy metal ions (Cd, Cu, Pb and Ni) associated with greywater treatment. The quadratic model was chosen to describe the effects of the process variables (activation time, impregnation ratio, ZnCl2 percentage) on predicting the responses (heavy metal ions removal) with low -values (<.0001), high-adjusted and predicted values. Second order polynomial equations, ANOVA and three-dimensional surface plots were developed to evaluate the effects of each independent process variable and determine the optimal condition of each factor for heavy metal ions removal. The optimal activation time for the activated carbon variables was 1.8 h, with 56% ZnCl and 0.60 impregnation ratio. This showed that the observed values for removing the heavy metal ions (Cu, Cd, Pb and Ni) were close to the predicted values. A RSM-based field test via the BBD approach, involving different types of greywater samples (bathtubs, showers, hand basins and laundry machines) showed that the percentages of heavy metal ions removal fit the experimental results.

摘要

关于去除灰水中重金属的最佳工艺,相关信息有限。本研究采用响应面法(RSM),通过 Box-Behnken 设计(BBD)方法,研究并优化了活化时间(1.5-2.5 h)、浸渍比(0.25-0.75)和氯化锌(ZnCl)百分比(20-60%)等工艺变量,以去除与灰水处理相关的重金属离子(Cd、Cu、Pb 和 Ni)。选择二次模型来描述工艺变量(活化时间、浸渍比、ZnCl2 百分比)对预测响应(重金属离子去除)的影响,具有低值(<0.0001)、高调整值和预测值。开发了二次多项式方程、方差分析和三维曲面图,以评估每个独立工艺变量的影响,并确定每个因素去除重金属离子的最佳条件。对于活性炭变量,最佳的活化时间为 1.8 h,ZnCl 为 56%,浸渍比为 0.60。这表明观察到的去除重金属离子(Cu、Cd、Pb 和 Ni)的值接近预测值。通过 BBD 方法的基于 RSM 的现场测试,涉及不同类型的灰水样本(浴缸、淋浴、洗手盆和洗衣机)表明,重金属离子去除的百分比符合实验结果。

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