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壳聚糖共轭磁性果胶负载滤泥对俾斯麦棕R染料的增强吸附:建模与机理的综合研究

Enhanced adsorption of Bismark Brown R dye by chitosan conjugated magnetic pectin loaded filter mud: A comprehensive study on modeling and mechanisms.

作者信息

Solanki Swati, Sinha Surbhi, Seth Chandra Shekhar, Tyagi Shivanshi, Goyal Aarushi, Singh Rachana

机构信息

Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida 201313, India.

Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida 201313, India.

出版信息

Int J Biol Macromol. 2024 Jun;270(Pt 1):131987. doi: 10.1016/j.ijbiomac.2024.131987. Epub 2024 May 3.

Abstract

Herein, a polymer-based bioadsorbent was prepared by cross-linking chitosan to filter mud and magnetic pectin (Ch-mPC@FM) for the removal of Bismark Brown R dye (BB-R) from wastewater. Morphological characterization analysis indicated that Ch-mPC@FM had a higher surface area and better pore structure than its components. The Artificial Neuron Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were employed to evaluate the simulation and prediction of the adsorption process based on input variables like temperature, pH, dosage, initial BB-R dye concentration, and contact time. ANFIS and ANN demonstrated significant modeling and predictive accuracy, with R > 0.93 and R > 0.96, and root mean square error < 0.023 and <0.020, respectively. The Langmuir isotherm and the pseudo-second-order kinetic models provided the best fits to the equilibrium and kinetic data. The thermodynamic assessment showed spontaneous and endothermic adsorption with average entropy and enthalpy changes of 119.32 kJ mol K and 403.47 kJ mol, respectively. The study of BB-R dye adsorption on Ch-mPC@FM revealed multiple mechanisms, including electrostatic, complexation, pore filling, cation-π interaction, hydrogen bonding, and π-π interactions. The approximate production cost of US$ 5.809 Kg and excellent adsorption capability render Ch-mPC@FM an inexpensive, pragmatic, and ecologically safe bioadsorbent for BB-R dye removal from wastewater.

摘要

在此,通过将壳聚糖与滤泥和磁性果胶交联制备了一种基于聚合物的生物吸附剂(Ch-mPC@FM),用于去除废水中的俾斯麦棕R染料(BB-R)。形态表征分析表明,Ch-mPC@FM比其组分具有更高的比表面积和更好的孔结构。采用人工神经网络(ANN)和自适应神经模糊推理系统(ANFIS),基于温度、pH值、剂量、初始BB-R染料浓度和接触时间等输入变量,对吸附过程进行模拟和预测。ANFIS和ANN显示出显著的建模和预测准确性,R分别大于0.93和0.96,均方根误差分别小于0.023和0.020。朗缪尔等温线和伪二级动力学模型最符合平衡和动力学数据。热力学评估表明吸附是自发的且吸热的,平均熵变和焓变分别为119.32 J mol K和403.47 J mol。对Ch-mPC@FM上BB-R染料吸附的研究揭示了多种机制,包括静电、络合、孔填充、阳离子-π相互作用、氢键和π-π相互作用。约5.809美元/千克的生产成本和出色的吸附能力使Ch-mPC@FM成为一种用于从废水中去除BB-R染料的廉价、实用且生态安全的生物吸附剂。

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