Rafati Lida, Ehrampoush Mohamad Hassan, Rafati Amir Abbas, Mokhtari Mehdi, Mahvi Amir Hossein
1Environmental Sciences and Technology Research center, Department of Environmental Health Engineering, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
2Department of Physical Chemistry, Faculty of Chemistry, Bu-Ali Sina University, P.O.Box 65174, Hamadan, Iran.
J Environ Health Sci Eng. 2019 Jul 19;17(2):753-765. doi: 10.1007/s40201-019-00392-9. eCollection 2019 Dec.
In this study, ibuprofen was removed using a strong nano-clay-composite based on cloisite 15A, PVP and β-cyclodextrin (CD@clay-PVP) adsorbent through a fixed-bed column system. Chemically modified nano-clay was characterized by using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and XRD. Different input situations were evaluated and included adsorbent bed height, initial concentrations, and the impact of the flow rate on the adsorbent. The various mathematical models employed to predict the breakthrough curve and model parameters include Thomas, bed-depth service time (BDST), Yoon-Nelson, and Clark. The characteristics of parameters related to the models were obtained by linear and nonlinear regression to design the process for the columns. Based on error analysis and adsorption conditions, all of the models are identical in describing the adsorption fixed-bed columns.
在本研究中，通过固定床柱系统，使用基于15A蒙脱石、聚乙烯吡咯烷酮（PVP）和β-环糊精（CD@clay-PVP）的强纳米粘土复合材料吸附剂去除布洛芬。通过傅里叶变换红外光谱（FTIR）、扫描电子显微镜（SEM）和X射线衍射（XRD）对化学改性纳米粘土进行了表征。评估了不同的输入情况，包括吸附剂床层高度、初始浓度以及流速对吸附剂的影响。用于预测穿透曲线和模型参数的各种数学模型包括托马斯模型、床层深度服务时间（BDST）模型、尹-尼尔森模型和克拉克模型。通过线性和非线性回归获得与模型相关的参数特征，以设计柱的工艺过程。基于误差分析和吸附条件，所有模型在描述吸附固定床柱方面是相同的。
