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采用响应面法和吸附动力学、吸附等温线和热力学研究优化磁性 MXene 对水中 17α-乙炔基雌二醇的吸附

Optimizing Adsorption of 17α-Ethinylestradiol from Water by Magnetic MXene Using Response Surface Methodology and Adsorption Kinetics, Isotherm, and Thermodynamics Studies.

机构信息

College of Biological Science and Technology, Hunan Agricultural University, Changsha 410128, China.

Hunan Provincial Key Laboratory of Phytohormones and Growth Development, Hunan Agricultural Univesity, Changsha 410128, China.

出版信息

Molecules. 2021 May 25;26(11):3150. doi: 10.3390/molecules26113150.

DOI:10.3390/molecules26113150
PMID:34070428
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8197481/
Abstract

Magnetic MXene composite FeO@TiC was successfully prepared and employed as 17-ethinylestradiol (EE2) adsorbent from water solution. The response surface methodology was employed to investigate the interactive effects of adsorption parameters (adsorption time, pH of the solution, initial concentration, and the adsorbent dose) and optimize these parameters for obtaining maximum adsorption efficiency of EE2. The significance of independent variables and their interactions were tested by the analysis of variance (ANOVA) and -test statistics. Optimization of the process variables for maximum adsorption of EE2 by FeO@TiC was performed using the quadratic model. The model predicted maximum adsorption of 97.08% under the optimum conditions of the independent variables (adsorption time 6.7 h, pH of the solution 6.4, initial EE2 concentration 0.98 mg L, and the adsorbent dose 88.9 mg L) was very close to the experimental value (95.34%). pH showed the highest level of significance with the percent contribution (63.86%) as compared to other factors. The interactive influences of pH and initial concentration on EE2 adsorption efficiency were significant ( < 0.05). The goodness of fit of the model was checked by the coefficient of determination (R) between the experimental and predicted values of the response variable. The response surface methodology successfully reflects the impact of various factors and optimized the process variables for EE2 adsorption. The kinetic adsorption data for EE2 fitted well with a pseudo-second-order model, while the equilibrium data followed Langmuir isotherms. Thermodynamic analysis indicated that the adsorption was a spontaneous and endothermic process. Therefore, FeO@TiC composite present the outstanding capacity to be employed in the remediation of EE2 contaminated wastewaters.

摘要

磁性 MXene 复合材料 FeO@TiC 被成功制备,并作为 17-乙炔基雌二醇(EE2)的吸附剂从水溶液中使用。响应面法被用于研究吸附参数(吸附时间、溶液的 pH 值、初始浓度和吸附剂剂量)的相互作用,并优化这些参数以获得 EE2 的最大吸附效率。通过方差分析(ANOVA)和 t 检验统计数据测试了自变量及其相互作用的显著性。通过二次模型对 FeO@TiC 吸附 EE2 的过程变量进行了优化。该模型预测在独立变量的最佳条件下(吸附时间 6.7 h、溶液 pH 值 6.4、初始 EE2 浓度 0.98 mg L、吸附剂剂量 88.9 mg L),EE2 的最大吸附量为 97.08%,与实验值(95.34%)非常接近。与其他因素相比,pH 值的显著性水平最高,其贡献率为 63.86%。pH 值和初始浓度对 EE2 吸附效率的相互影响是显著的(<0.05)。通过响应变量的实验值和预测值之间的决定系数(R)来检查模型的拟合优度。响应面法成功地反映了各种因素的影响,并优化了 EE2 吸附的过程变量。EE2 的动力学吸附数据很好地符合拟二级动力学模型,而平衡数据符合 Langmuir 等温线。热力学分析表明,吸附是一个自发和吸热的过程。因此,FeO@TiC 复合材料具有出色的能力,可以用于修复 EE2 污染的废水。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3379/8197481/cc87e801da78/molecules-26-03150-g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3379/8197481/f0c8ca0d8d2a/molecules-26-03150-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3379/8197481/fe1a396994fe/molecules-26-03150-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3379/8197481/cc87e801da78/molecules-26-03150-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3379/8197481/cf26e079deba/molecules-26-03150-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3379/8197481/6752c5041522/molecules-26-03150-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3379/8197481/ad3bdeca57f8/molecules-26-03150-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3379/8197481/f0c8ca0d8d2a/molecules-26-03150-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3379/8197481/fe1a396994fe/molecules-26-03150-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3379/8197481/cc87e801da78/molecules-26-03150-g006.jpg

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