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Kinetic and isotherm studies of adsorption and biosorption processes in the removal of phenolic compounds from aqueous solutions: comparative study

机译:从水溶液中去除酚类化合物的吸附和生物吸附过程的动力学和等温线研究:比较研究

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摘要

The phenolic compounds are known by their carcinogenicity and high toxicity as well as creating unpleasant taste and odor in water resources. The present study develops a cost-effective technology for the treatment of water contaminated with phenolic compounds, including Phenol (Ph), 2-chlorophenol (2-CP), and 4-chlorophenol (4-CP). So, two sorbents, rice bran ash (RBA) and biomass of brown algae, Cystoseiraindica, were used and results were compared with the commercially granular activated carbon (GAC). The phenolic compounds were determined using a high performance liquid chromatography (HPLC) under batch equilibrium conditions. The effects of contact time, pH, initial adsorbate concentration, and adsorbent dosages on the removal efficiency were studied. The adsorption data were simulated by isotherm and kinetic models. Results indicated that RBA and GAC had the lowest efficiency for the removal of 2-CP, while the order of removal efficiency for C. indica biomass was as follows: 2-CP > 4-CP > phenol. The efficiency of GAC was higher than those of other adsorbents for all of the phenolic compounds. Furthermore, the adsorption capacity of RBA was found to be higher than that of C. indica biomass. The optimal initial pH for the removal of phenol, 2-CP and 4-CP was determined to be 5, 7, and 7 for RBA, GAC, and algal biomass, respectively. Kinetic studies suggested that the pseudo-second order best fitted the kinetic data.
机译:酚类化合物以其致癌性和高毒性以及在水资源中产生令人不愉快的味道和气味而著称。本研究开发了一种经济有效的技术来处理被酚类化合物(包括苯酚(Ph),2-氯苯酚(2-CP)和4-氯苯酚(4-CP))污染的水。因此,使用了两种吸附剂,即米糠灰(RBA)和褐藻生物质Cystoseiraindica,并将其与市售颗粒活性炭(GAC)进行了比较。使用高效液相色谱(HPLC)在批平衡条件下测定酚类化合物。研究了接触时间,pH,初始吸附物浓度和吸附剂用量对去除效率的影响。通过等温和动力学模型模拟吸附数据。结果表明,RBA和GAC对2-CP的去除效率最低,而对C稻生物量的去除效率顺序为:2-CP> 4-CP>苯酚。对于所有酚类化合物,GAC的效率均高于其他吸附剂。此外,发现RBA的吸附能力高于C稻生物量。对于RBA,GAC和藻类生物质,用于去除苯酚,2-CP和4-CP的最佳初始pH分别确定为5、7和7。动力学研究表明拟二阶最适合动力学数据。

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