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采用响应面法和人工神经网络-遗传算法,利用新型吸附剂壳聚糖/纳米透辉石对水溶液中的结晶紫进行脱色。

Decolorization of crystal violet from aqueous solutions by a novel adsorbent chitosan/nanodiopside using response surface methodology and artificial neural network-genetic algorithm.

机构信息

Department of Chemistry, Faculty of Sciences, University of Shahrekord, P. O. Box 115, Shahrekord, Iran.

Department of Chemistry, Faculty of Sciences, University of Shahrekord, P. O. Box 115, Shahrekord, Iran.

出版信息

Int J Biol Macromol. 2019 Mar 1;124:429-443. doi: 10.1016/j.ijbiomac.2018.11.148. Epub 2018 Nov 16.

DOI:10.1016/j.ijbiomac.2018.11.148
PMID:30452982
Abstract

A novel adsorbent of chitosan/nanodiopside nanocomposite (CS-NDIO) was synthesized as a green composite for the removal of crystal violet (CV) and characterized by techniques like XRD, FT-IR, BET, and FESEM analysis. The influence of parameters like molar ratios of CS to NDIO, initial pH of the solution, dosage of adsorbent, initial concentration of CV and contact time was investigated and evaluated by central composite design (CCD; 5 levels and 4 factors). Also, Hybrid model of (ANN) model with genetic algorithm (GA) optimization was applied to the experimental data get through CCD. The optimized molar ratio of CS-NDIO was found: 20/80. Optimal parameter choice for maximum CV adsorption process using CCD and ANN-GA were as follows: pH = 7.50 and 7.499, adsorbent mass: 0.0077 and 0.0077 g, CV concentration: 20.000 and 20.002 mg/L, and contact time: 25.00 and 25.00 min, respectively. The evaluation adsorption equilibrium and kinetic data were fitted with the Langmuir monolayer isotherm model (q: 104.66 mg g and R: 0.9937) and pseudo-second order kinetics mechanism (R: 0.9978). Thermodynamic parameters (R: 0.9180, ΔH°: -74.93 kJ mol, ΔG°: -12.89 kJ mol, and ΔS°: 0.93 kJ mol K) were calculated and indicating adsorption to be an exothermic and spontaneous process.

摘要

一种新型壳聚糖/纳米透辉石纳米复合材料(CS-NDIO)吸附剂被合成作为一种绿色复合材料,用于去除结晶紫(CV),并通过 XRD、FT-IR、BET 和 FESEM 分析等技术进行了表征。考察了壳聚糖与纳米透辉石摩尔比、溶液初始 pH 值、吸附剂用量、CV 初始浓度和接触时间等参数的影响,并通过中心复合设计(CCD;5 水平和 4 因素)进行了评价。此外,还应用遗传算法(GA)优化的(ANN)模型混合模型对 CCD 获得的实验数据进行了处理。优化的 CS-NDIO 摩尔比为 20/80。使用 CCD 和 ANN-GA 进行最大 CV 吸附过程的最佳参数选择如下:pH = 7.50 和 7.499、吸附剂质量:0.0077 和 0.0077 g、CV 浓度:20.000 和 20.002 mg/L、接触时间:25.00 和 25.00 min。评价吸附平衡和动力学数据符合 Langmuir 单层等温线模型(q:104.66 mg g 和 R:0.9937)和拟二级动力学机制(R:0.9978)。计算了热力学参数(R:0.9180、ΔH°:-74.93 kJ mol、ΔG°:-12.89 kJ mol 和 ΔS°:0.93 kJ mol K),表明吸附是一个放热和自发的过程。

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