Abdi Jafar, Vossoughi Manouchehr, Mahmoodi Niyaz Mohammad, Alemzadeh Iran
Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran; Department of Environmental Research, Institute for Color Science and Technology, Tehran, Iran.
Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran.
Ultrason Sonochem. 2017 Nov;39:550-564. doi: 10.1016/j.ultsonch.2017.04.030. Epub 2017 Apr 23.
The present research is focused on the ultrasound assisted adsorption of Acid blue 92 (AB92) and Direct red 80 (DR80) as anionic dyes in single and binary systems onto zeolitic imidazolate framework (ZIF-8) functionalized with 3-Aminopropyltrimethoxysilane (APTES). Different techniques such as Fourier transform infrared (FTIR), scanning electron microscope (SEM), field emission scanning electron microscopy (FE-SEM), X-ray diffraction (XRD), Brunauer-Emmett-Teller (BET) and thermogravimetric analyses (TGA) were used to characterize the prepared adsorbent. The individual effects and possible interactions between the various parameters including adsorbent dosage, sonication time, initial dye concentrations and pH on dyes removal efficiency were investigated by response surface methodology (RSM). The optimized experimental conditions were fixed at adsorbent dosage 0.005g for AB92 and 0.01g for DR80, pH 2.1, sonication time 15min, and initial dyes concentration 15mgL to get maximum removal percentage (>95.0%). A reliable and intelligent model based on least-squares support vector machine (LS-SVM) was developed to predict dye removal efficiency. The root mean square error (RMSE) of 0.604, 0.734 and 1.549 with high determination coefficient (R) of 0.999, 0.996 and 0.997 for AB92, DR80 and binary system, respectively, were able to predict and model the adsorption process. The presented model illustrates better performance in predicting dye removal efficiency compared to the kinetic models. The results showed that the adsorption process had better conformation with pseudo-second order model. The adsorption equilibrium data was investigated by Langmuir, Freundlich, Tempkin and Dubinin-Radushkevich isotherm models and the data were well fitted by Langmuir model with maximum adsorption capacity of 633.4 and 500.2mgg for AB92 and DR80 dyes, respectively. APTES@ZIF-8 was regenerated and found to be reusable after four successive cycles without considerable loss in adsorption capacity.
本研究聚焦于超声辅助下，酸性蓝92（AB92）和直接红80（DR80）这两种阴离子染料在单体系和双体系中吸附到用3-氨丙基三甲氧基硅烷（APTES）功能化的沸石咪唑酯骨架（ZIF-8）上的过程。采用傅里叶变换红外光谱（FTIR）、扫描电子显微镜（SEM）、场发射扫描电子显微镜（FE-SEM）、X射线衍射（XRD）、布鲁诺尔-埃米特-泰勒（BET）和热重分析（TGA）等不同技术对制备的吸附剂进行表征。通过响应面法（RSM）研究了吸附剂用量、超声处理时间、初始染料浓度和pH值等各种参数对染料去除效率的单独影响以及可能的相互作用。优化后的实验条件为：AB92的吸附剂用量为0.005g，DR80的吸附剂用量为0.01g，pH值为2.1，超声处理时间为15分钟，初始染料浓度为15mg/L，以获得最大去除率（>95.0%）。开发了一种基于最小二乘支持向量机（LS-SVM）的可靠且智能的模型来预测染料去除效率。AB92、DR80和双体系的均方根误差（RMSE）分别为0.604、0.734和1.549，决定系数（R）分别为0.999、0.996和0.997，能够对吸附过程进行预测和建模。与动力学模型相比，所提出的模型在预测染料去除效率方面表现出更好的性能。结果表明，吸附过程与伪二级模型具有更好的拟合度。通过朗缪尔、弗伦德利希、坦普金和杜宾宁-拉杜舍维奇等温线模型对吸附平衡数据进行了研究，数据与朗缪尔模型拟合良好，AB92和DR80染料的最大吸附容量分别为633.4和500.2mgg。APTES@ZIF-8经过再生，发现经过四个连续循环后可重复使用，吸附容量没有显著损失。
