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交联壳聚糖/沸石作为从水溶液中去除有机微量污染物的固定床柱,用 RSM 和人工神经网络进行优化。

Cross-linked chitosan/zeolite as a fixed-bed column for organic micropollutants removal from aqueous solution, optimization with RSM and artificial neural network.

机构信息

Green Intelligence Environmental School, Yangtze Normal University, Chongqing, 408100, China.

Department of Civil and Environmental Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashihiroshima, 739-8527, Japan.

出版信息

J Environ Manage. 2019 Nov 15;250:109434. doi: 10.1016/j.jenvman.2019.109434. Epub 2019 Aug 28.

Abstract

Organic micropollutants (MPs) in low concentrations can affect aquatic ecosystems and human health. Adsorption technique is one of the promising methods to remove MPs. Chitosan and zeolites are environmentally friendly and low-cost adsorbents. Thus, removal of organic MPs (such as bisphenol A (BPA), carbamazepine (CBZ), ketoprofen (KTF) and tonalide (TND) from aqueous solution via cross-linked chitosan/zeolite, as a fixed-bed column, was investigated in the current study. Hydraulic retention time was set at 0.8 h pH and concentration of organic MPs ranged from 4 to 8 and 0.50 mg/L to 2.0 mg/L, and they were considered as factors in optimizing the removal of pollutants via response surface methodology (RSM). Approximately 1.4560 mg/L (89.0%) of BPA, 1.4724 mg/L (90.0%) of CBZ, 1.4920 mg/L (91.2%) of KTF and 1.4118 mg/L (86.3%) of TND were removed at 5.1 pH and 1.636 mg/L initial concentration as the optimum removal efficiency on the basis of RSM. Artificial neural network (ANN) was used to optimise removal effectiveness for each MP. The high R values and reasonable mean squared errors indicated that ANN optimized MP removal in a logical aspect. Adsorption isotherm studies revealed that organic MP removal through chitosan/zeolite could be explained with Freundlich and Langmuir isotherms.

摘要

有机微量污染物 (MPs) 即使浓度较低,也可能对水生生态系统和人类健康造成影响。吸附技术是去除 MPs 的一种很有前途的方法。壳聚糖和沸石是环保且低成本的吸附剂。因此,本研究考察了通过交联壳聚糖/沸石(作为固定床柱)从水溶液中去除有机 MPs(如双酚 A (BPA)、卡马西平 (CBZ)、酮洛芬 (KTF) 和 tonalide (TND))的方法。本研究将水力停留时间设定为 0.8 h,pH 值和有机 MPs 的浓度范围分别为 4 到 8 以及 0.50 mg/L 到 2.0 mg/L,并将其作为通过响应面法 (RSM) 优化污染物去除的因素。基于 RSM,在 5.1 pH 值和 1.636 mg/L 的初始浓度下,BPA 的去除率约为 1.4560 mg/L(89.0%),CBZ 的去除率约为 1.4724 mg/L(90.0%),KTF 的去除率约为 1.4920 mg/L(91.2%),TND 的去除率约为 1.4118 mg/L(86.3%),达到最佳去除效率。人工神经网络 (ANN) 用于优化每种 MPs 的去除效果。高 R 值和合理的均方误差表明,ANN 从逻辑上优化了 MPs 的去除效果。吸附等温线研究表明,壳聚糖/沸石去除有机 MPs 可以用 Freundlich 和 Langmuir 等温线来解释。

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