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Thermodynamics, non-linear isotherms, statistical modeling and optimization of phosphorus adsorption from wastewater

机译:热力学,非线性等温线,统计模型和废水中磷的吸附优化

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摘要

Palm Kernel Shell (PKN), an eco-friendly biomass, was carbonized and activated for the removal of phosphorus from wastewater through batch adsorption process. The studies evaluate the effects of pH, particle size, dosage and contact time on the adsorption capacity of the prepared adsorbent. The equilibrium concentration data and the amount of adsorption were described using non-linear regression analysis of the curve fitting toolbox of MATLAB 7.0. The mechanism of adsorption was determined through thermodynamic properties such as change in free energy ΔG (KJ mol~(−1)) and change in entropy ΔS (Jmol~(−1)K~(−1)). Statistical modeling via Central Composite Design (CCD) for process optimization was carried out. The obtained results showed that, adsorption data conformed to Freundlick Isotherm. The positive values of ΔH (KJ mol~(−1)) and ΔS (J mol~(−1) K~(−1)) indicate the endothermic character of the reaction and the increased randomness at the solid-solution interface respectively during the adsorption process. The most significant main effect for performance of the adsorbent is contact time (P_(value) = 0.0000). Based on the result of the optimization of response surface model fit to experimental data, PKN reduced the effluent concentration from 373 to 24.095 mg L~(−1), a performance of 93.54%. The minimum pH2, dosage (1000 mg) and particle size (0.2 mm) are local while the contact time (4.1 h) is a global optimum.
机译:棕榈仁壳(PKN)是一种生态友好型生物质,经过碳化和活化处理,可通过分批吸附工艺从废水中去除磷。研究评估了pH,粒径,剂量和接触时间对制备的吸附剂吸附能力的影响。使用MATLAB 7.0曲线拟合工具箱的非线性回归分析描述了平衡浓度数据和吸附量。吸附机理是通过热力学性质确定的,如自由能的变化ΔG(KJ mol〜(-1))和熵的变化ΔS(Jmol〜(-1)K〜(-1))。通过中央复合设计(CCD)进行统计建模以优化过程。所得结果表明,吸附数据符合Freundlick等温线。 ΔH(KJ mol〜(-1))和ΔS(J mol〜(-1)K〜(-1))的正值分别表示反应的吸热特性和固溶界面上随机性的增加吸附过程。对吸附剂性能最重要的主要影响是接触时间(P_(值)= 0.0000)。根据响应面模型对实验数据的优化结果,PKN将废水浓度从373降低到24.095 mg L〜(-1),效率为93.54%。最低pH2,剂量(1000毫克)和粒径(0.2毫米)是局部的,而接触时间(4.1小时)是全局最佳的。

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