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壳聚糖基磁性吸附剂去除水溶性阴离子染料:人工神经网络建模和分子对接研究。

Chitosan-based magnetic adsorbent for removal of water-soluble anionic dye: Artificial neural network modeling and molecular docking insights.

机构信息

"Petru Poni" Institute of Macromolecular Chemistry, Aleea Grigore Ghica Voda 41A, 700487, Iasi, Romania.

"Petru Poni" Institute of Macromolecular Chemistry, Aleea Grigore Ghica Voda 41A, 700487, Iasi, Romania.

出版信息

Int J Biol Macromol. 2019 Feb 15;123:587-599. doi: 10.1016/j.ijbiomac.2018.11.080. Epub 2018 Nov 15.

DOI:10.1016/j.ijbiomac.2018.11.080
PMID:30447358
Abstract

Herein, we report a new composite magnetic-adsorbent made of doped spinel ferrite (15%) dispersed throughout a matrix of chitosan (CS) cross-linked with glutaraldehyde (GA). The composite material was well characterized by using instrumental methods of physical-chemical analysis (SEM, EDX, FTIR and VSM). The produced adsorbent was applied for the removal of Acid Orange 7 (AO7) dye from aqueous solutions. Aspects of adsorption kinetics, isotherms and thermodynamics were detailed. According to the Dubinin-Radushkevich (D-R) isotherm, the mean free energy of adsorption ranged from 14.37 to 16.59 (kJ/mol), suggesting ion-exchange dominating phenomena. In addition, we developed an artificial neural network (ANN) model to explore extensively the effects of factors on the adsorption performance. The coupling of ANN model with a genetic algorithm provided optimal conditions of adsorption. A maximal color removal efficiency of 98.01% was observed experimentally under optimal conditions (pH 2.51, sorbent dosage 3.88 g/L, initial dye concentration 25.3 mg/L, contact time 204 min). To unveil interaction mechanism, we employed molecular docking simulations. Computational outcomes suggested the formation of hydrophobic contacts and hydrogen bonds between AO7 dye molecule and CS-GA receptor. Molecular docking results agreed with the D-R isotherm findings, highlighting that electrostatic forces were greater than Van-der-Waals interactions.

摘要

本文报道了一种新型的磁性复合吸附剂,由掺杂尖晶石型铁氧体(15%)分散在壳聚糖(CS)基质中,并用戊二醛(GA)交联而成。采用物理化学分析仪器方法(SEM、EDX、FTIR 和 VSM)对复合材料进行了全面表征。所制备的吸附剂用于从水溶液中去除酸性橙 7(AO7)染料。详细研究了吸附动力学、等温线和热力学等方面。根据 Dubinin-Radushkevich(D-R)等温线,吸附的平均自由能范围为 14.37 至 16.59(kJ/mol),表明离子交换起主导作用。此外,我们还开发了人工神经网络(ANN)模型,广泛探索了各种因素对吸附性能的影响。ANN 模型与遗传算法的耦合提供了吸附的最佳条件。在最佳条件下(pH 2.51、吸附剂用量 3.88 g/L、初始染料浓度 25.3 mg/L、接触时间 204 min),实验观察到最大去除效率为 98.01%。为了揭示相互作用机制,我们进行了分子对接模拟。计算结果表明,AO7 染料分子与 CS-GA 受体之间形成了疏水接触和氢键。分子对接结果与 D-R 等温线的发现一致,表明静电相互作用大于范德华相互作用。

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