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Statistical modeling of phenolic compounds adsorption onto low-cost adsorbent prepared from aloe vera leaves wastes using CCD-RSM optimization: effect of parameters, isotherm, and kinetic studies
Biomass Conversion and Biorefinery ( IF 4 ) Pub Date : 2021-07-05 , DOI: 10.1007/s13399-021-01601-y
Abdollah Dargahi 1 , Mohammad Reza Samarghandi 2 , Amir Shabanloo 3 , Mohammad Molla Mahmoudi 3 , Hasan Zolghadr Nasab 3
Affiliation  

The experiments were designed based on the central composite design (CCD) and were analyzed and modeled by response surface methodology (RSM) to demonstrate the operational variables and the interactive effect of four independent variables on two responses. The results showed that the adsorption rates of both phenolic compounds (bisphenol A and pentachlorophenol) were increased by increasing contact time and adsorbent dose. The highest phenolic compounds adsorption was obtained at a pH of 6. Based on the analysis of variance of the results obtained from different models, a quadratic model was chosen to estimate the removal of phenolic compounds by the adsorption process using modified sorbent. The linear regression coefficient (R2) between experiments and different response values in the model was 0.96 for bisphenol A and 0.75 for pentachlorophenol. The optimum values for the studied variables were the pH of 6, the adsorbent dose of 4.2 g/L, the contact time of 65 min, and the concentration of the phenolic compounds of 40 mg/L. Under the mentioned conditions, the removal efficiency of pentachlorophenol and bisphenol A by the adsorbent was 93.1% and 87.06%, respectively. According to the results, the modified adsorbent in the removal of phenolic compounds follows the Freundlich isotherm and pseudo-second-order kinetics. The results showed that the adsorption onto modified adsorbent was able to provide the relatively high removal efficiency of phenolic compounds. This method can also be used to treat wastewater from petroleum and petrochemical industries containing phenolic compounds.



中文翻译:

使用 CCD-RSM 优化对从芦荟叶废料制备的低成本吸附剂上吸附酚类化合物的统计建模:参数、等温线和动力学研究的影响

实验基于中心复合设计 (CCD) 进行设计,并通过响应面方法 (RSM) 进行分析和建模,以证明操作变量和四个自变量对两个响应的交互作用。结果表明,两种酚类化合物(双酚 A 和五氯苯酚)的吸附率随着接触时间和吸附剂剂量的增加而增加。在 pH 值为 6 时获得最高的酚类化合物吸附。基于对不同模型结果的方差分析,选择二次模型来估计使用改性吸附剂的吸附过程对酚类化合物的去除。线性回归系数 ( R 2) 在实验和模型中不同响应值之间,双酚 A 为 0.96,五氯苯酚为 0.75。研究变量的最佳值为 6,吸附剂剂量为 4.2 g/L,接触时间为 65 分钟,酚类化合物的浓度为 40 mg/L。在上述条件下,吸附剂对五氯苯酚和双酚A的去除效率分别为93.1%和87.06%。结果表明,改性吸附剂去除酚类化合物的过程符合弗氏等温线和准二级动力学。结果表明,吸附在改性吸附剂上能够提供相对较高的酚类化合物去除效率。

更新日期:2021-07-05
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