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Diclofenac removal from water by adsorption using activated carbon in batch mode and fixed-bed column: Isotherms, thermodynamic study and breakthrough curves modeling

机译:分批模式和固定床色谱柱通过活性炭吸附从水中去除双氯芬酸:等温线,热力学研究和突破曲线建模

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The presence of pharmaceutical compounds in the environment has been considered an emerging concern. Diclofenac has the highest acute toxicity among the non-steroidal anti-inflammatory drugs and it has been frequently detected in surface waters and wastewater treatment plants. Adsorption has been widely used to remove emerging contaminants such as pharmaceutical compounds from water sources and wastewaters. In this work, diclofenac adsorption was studied using activated carbon as adsorbent in batch process and fixed-bed column. Adsorption isotherms were determined through batch adsorption experiments, while fixed-bed adsorption was evaluated through a full factorial two-level experimental design involving three variables: initial pollutant concentration (20 - 100 mg L-1), weight of adsorbent (0.5 - 1.0 g) and volumetric feed flow rate (3 - 5 mL min(-1)). Adsorption equilibrium was investigated in different temperatures revealed that the Freundlich equation is suitable to describe the isotherms behavior in 298, 308 and 318 K. Thermodynamic analysis revealed negative Delta G(0) and both positive Delta H-0 and Delta S-0, which indicated that diclofenac adsorption onto activated carbon is higher at higher temperatures and it is a spontaneous process. Breakthrough time, the time when 5% of initial concentration is detected in the effluent, was at higher initial concentration and lower flow rate. Fractional bed utilization increased with the increase of the initial concentration and flow rate, but decreased with higher amount of activated carbon. Breakthrough curves experimental data were fitted using Thomas, Bohart-Adams and Yan analytical models. Yan model showed the highest average of the determination coefficients (R-2 = 0.9842) of all experiments while the amounts adsorbed by the packed column were better predicted by Thomas equation. (C) 2018 Elsevier Ltd. All rights reserved.
机译:环境中药物化合物的存在已被认为是新出现的问题。双氯芬酸在非甾体类抗炎药中具有最高的急性毒性,并且在地表水和废水处理厂中经常被发现。吸附已被广泛用于从水源和废水中去除新兴污染物,例如药物化合物。在这项工作中,研究了使用活性炭作为吸附剂在间歇法和固定床色谱柱中进行双氯芬酸的吸附。吸附等温线是通过分批吸附实验确定的,而固定床吸附则通过涉及三个变量的全因子两级实验设计进行评估:初始污染物浓度(20-100 mg L-1),吸附剂重量(0.5-1.0 g) )和体积进料流速(3-5 mL min(-1))。研究了在不同温度下的吸附平衡,结果表明弗氏方程适合描述298、308和318 K的等温线行为。热力学分析显示负Delta G(0)以及正Delta H-0和Delta S-0,其中指出在较高温度下双氯芬酸在活性炭上的吸附较高,这是一个自发过程。突破时间(在流出物中检测到初始浓度为5%的时间)处于较高的初始浓度和较低的流速下。床层利用率随初始浓度和流速的增加而增加,但随活性炭含量的增加而降低。突破曲线实验数据使用Thomas,Bohart-Adams和Yan分析模型进行拟合。 Yan模型显示了所有实验中测定系数的最高平均值(R-2 = 0.9842),而填充柱的吸附量可以通过Thomas方程更好地预测。 (C)2018 Elsevier Ltd.保留所有权利。

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