Statistical Optimization and Modeling of Methylene Blue Adsorption Onto Graphene Oxide in Batch and Fixed-Bed Column

Q4 Environmental Science
H. Koolivand, A. Shahbazi
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Abstract

The batch and fixed-bed column adsorption of methylene blue (MB), a widely used toxic dye, onto graphene oxide (GO) was investigated in this study. GO was synthesized using modified Hummers method and characterized by scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier transform infrared spectroscopy (FTIR). Response surface methodology (RSM) was employed to optimize batch and fixed-bed column adsorption of MB. Batch adsorption experiments were carried out by central composite design (CCD) with three input parameters including initial MB concentration (C0: 50-350 mg/L), GO dosage (D: 0.05-0.7 g/L), and pH (pH: 3-9). The adsorption capacity of GO for MB removal in the optimum level of factors (C0: 50 mg/L, D: 0.05 g/L, and pH: 8.5) was predicted by the model to be 700 mg/g. Adsorption kinetic data were tested using pseudo-first order, pseudo-second order, and intraparticle diffusion models. The kinetic experimental data was well fitted with pseudo-second order kinetic model (R2=1). The adsorption of MB onto GO demonstrated that Langmuir model (R2=0.999) could better fit the adsorption data than the Freundlich model (R2=0.914). Thermodynamic parameters including enthalpy (ΔH), Gibbs free energy (ΔG), and entropy (ΔS) were also investigated. Positive value of ΔH and negative value of ΔG indicated the endothermic and spontaneous nature of the adsorption. The positive value of ΔS also showed increased randomness at the solid/liquid interface during the adsorption of MB onto GO. The real wastewater experiment at optimum conditions showed high performance of adsorbent in the presence of other ions. Fixed-bed column experiments were designed using a three-factor, three-level Box-Behnken design (BBD) to investigate the single and combined effects of influent concentration (Cinf: 50-200 mg/L), flow rate (Q: 0.25-0.8 mL/min), and bed height (BH: 3-7 cm). MB removal from GO in the optimum levels of factors (Cinf: 51 mg/L, BH: 5.7 cm, and Q: 0.25 mL/min) was predicted by the model to be 86% (qe=459.3 mg/g). Fixed-bed experimental data were also fitted well to the Thomas and BDST models. The results showed that GO can be used as an efficient adsorbent for batch and fixed-bed adsorption of cationic dyes from synthetic and real wastewater.
氧化石墨烯间歇和固定床柱吸附亚甲基蓝的统计优化与建模
研究了广泛使用的有毒染料亚甲基蓝(MB)在氧化石墨烯(GO)上的分批和固定床柱吸附。采用改进的Hummers法合成了GO,并通过扫描电子显微镜(SEM)、X射线衍射(XRD)和傅里叶变换红外光谱(FTIR)对其进行了表征。采用响应面法(RSM)对MB的分批和固定床柱吸附进行了优化。采用中心复合设计(CCD)进行批量吸附实验,输入三个参数,包括MB初始浓度(C0:50-350mg/L)、GO剂量(D:0.05-0.7g/L)和pH(pH:3-9)。通过该模型预测,在最佳因素水平(C0:50mg/L,D:0.05g/L,pH:8.5)下,GO对MB的吸附量为700mg/g。使用伪一阶、伪二阶和颗粒内扩散模型测试吸附动力学数据。动力学实验数据与拟二阶动力学模型(R2=1)拟合良好。MB在GO上的吸附表明,Langmuir模型(R2=0.999)比Freundlich模型(R2=0.0914)更能拟合吸附数据。还研究了焓(ΔH)、吉布斯自由能(ΔG)和熵(ΔS)等热力学参数。ΔH的正值和ΔG的负值表明吸附的吸热和自发性质。在MB吸附到GO上的过程中,ΔS的正值在固液界面也显示出增加的随机性。在最佳条件下的实际废水实验表明,吸附剂在其他离子存在下具有较高的吸附性能。采用三因素三级Box-Behnken设计(BBD)设计固定床柱实验,研究进水浓度(Cinf:50-200mg/L)、流速(Q:0.25-0.8mL/min)和床高(BH:3-7cm)的单一和组合影响。模型预测,在最佳因子水平(Cinf:51mg/L、BH:5.7cm和Q:0.25mL/min)下,GO对MB的去除率为86%(qe=459.3mg/g)。固定床实验数据也很好地拟合了Thomas和BDST模型。结果表明,GO可作为一种有效的吸附剂,用于间歇床和固定床吸附合成废水和实际废水中的阳离子染料。
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来源期刊
Avicenna Journal of Environmental Health Engineering
Avicenna Journal of Environmental Health Engineering Environmental Science-Health, Toxicology and Mutagenesis
CiteScore
1.00
自引率
0.00%
发文量
8
审稿时长
8 weeks
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