首页> 外文期刊>The Korean journal of chemical engineering >Response surface modeling, isotherm, thermodynamic and optimization study of arsenic (V) removal from aqueous solutions using modified bentonite-chitosan (MBC)
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Response surface modeling, isotherm, thermodynamic and optimization study of arsenic (V) removal from aqueous solutions using modified bentonite-chitosan (MBC)

机译:改性膨润土-壳聚糖(MBC)从水溶液中去除砷(V)的响应面建模,等温线,热力学和优化研究

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Arsenic contamination, a worldwide concern, has received a great deal of attention due to its toxicity and carcinogenicity. In the present study, we focused on the combined application of modified bentonite and chitosan (MBC) for the removal of As(V). Arsenic removal experiments were carried out to determine the amount of As(V) adsorbed as a function of pH (2-8), sorbent dosage (0.1-1.5 g/L), As(V) concentration (20-200mg/L) and time (60-240 min). The system was optimized by means of response surface methodology. The analysis of variance (ANOVA) of the quadratic model demonstrated that the model was highly significant (R(2)ae97.3%). Optimized values of pH, sorbent dosage, initial As(V) concentration and time were found to be 3.7, 1.40 g/L, 69mg/L, and 167min, respectively. The results reveal that the prepared adsorbent has a high adsorption capacity (122.23mg/g) for As(V) removal. Among the isotherm models used, the Langmuir isotherm model was the best fit for the obtained data. The adsorption kinetics following a pseudo-second-order kinetic model was involved in the adsorption process of As(V). Thermodynamic studies confirmed the spontaneous and endothermic character of adsorption process.
机译:由于砷的毒性和致癌性,引起全世界的关注,引起了广泛的关注。在本研究中,我们集中于改性膨润土和壳聚糖(MBC)的联合应用以去除As(V)。进行了除砷实验,以确定吸附的As(V)量与pH(2-8),吸附剂剂量(0.1-1.5 g / L),As(V)浓度(20-200mg / L)的关系。和时间(60-240分钟)。该系统通过响应面方法进行了优化。二次模型的方差分析(ANOVA)表明,该模型非常重要(R(2)ae97.3%)。最佳pH值,吸附剂剂量,初始As(V)浓度和时间分别为3.7、1.40 g / L,69mg / L和167min。结果表明,所制备的吸附剂具有较高的吸附能力(122.23mg / g),能够去除As(V)。在使用的等温线模型中,Langmuir等温线模型最适合获得的数据。 As(V)的吸附过程涉及伪二级动力学模型的吸附动力学。热力学研究证实了吸附过程的自发性和吸热性。

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