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使用高能行星球磨法制备的针赤铁矿纳米催化剂的非均相类芬顿法处理纺织染料

Heterogeneous sono-Fenton-like process using martite nanocatalyst prepared by high energy planetary ball milling for treatment of a textile dye.

作者信息

Dindarsafa Mahsa, Khataee Alireza, Kaymak Baris, Vahid Behrouz, Karimi Atefeh, Rahmani Amir

机构信息

Department of Environmental Engineering, Middle East Technical University, 06800 Ankara, Turkey; Research Laboratory of Advanced Water and Wastewater Treatment Processes, Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, 51666-16471 Tabriz, Iran.

Research Laboratory of Advanced Water and Wastewater Treatment Processes, Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, 51666-16471 Tabriz, Iran; Department of Nanotechnology, Near East University, 99138 Nicosia, North Cyprus, Mersin 10, Turkey.

出版信息

Ultrason Sonochem. 2017 Jan;34:389-399. doi: 10.1016/j.ultsonch.2016.06.016. Epub 2016 Jun 15.

Abstract

High energy planetary ball milling was applied to prepare sono-Fenton nanocatalyst from natural martite (NM). The NM samples were milled for 2-6h at the speed of 320rpm for production of various ball milled martite (BMM) samples. The catalytic performance of the BMMs was greater than the NM for treatment of Acid Blue 92 (AB92) in heterogeneous sono-Fenton-like process. The NM and the BMM samples were characterized by XRD, FT-IR, SEM, EDX and BET analyses. The particle size distribution of the 6h-milled martite (BMM) was in the range of 10-90nm, which had the highest surface area compared to the other samples. Then, the impact of main operational parameters was investigated on the process. Complete removal of the dye was obtained at the desired conditions including initial pH 7, 2.5g/L BMM dosage, 10mg/L AB92 concentration, and 150W ultrasonic power after 30min of treatment. The treatment process followed pseudo-first order kinetic. Environmentally-friendly modification of the NM, low leached iron amount and repeated application at milder pH were the significant benefits of the BMM. The GC-MS was successfully used to identify the generated intermediates. Eventually, an artificial neural network (ANN) was applied to predict the AB92 removal efficiency based upon the experimental data with a proper correlation coefficient (R=0.9836).

摘要

采用高能行星球磨法由天然假象赤铁矿(NM)制备声芬顿纳米催化剂。将NM样品以320rpm的速度球磨2 - 6小时,以制备各种球磨假象赤铁矿(BMM)样品。在非均相类声芬顿过程中,BMM对酸性蓝92(AB92)的催化性能优于NM。通过XRD、FT - IR、SEM、EDX和BET分析对NM和BMM样品进行了表征。6小时球磨的假象赤铁矿(BMM)的粒径分布在10 - 90nm范围内,与其他样品相比具有最高的表面积。然后,研究了主要操作参数对该过程的影响。在初始pH为7、BMM投加量为2.5g/L、AB92浓度为10mg/L以及超声功率为150W的理想条件下,处理30分钟后可实现染料的完全去除。处理过程遵循准一级动力学。BMM的显著优点包括对NM进行环境友好型改性、低铁浸出量以及在较温和的pH条件下可重复使用。GC - MS成功用于鉴定生成的中间体。最终,应用人工神经网络(ANN)根据实验数据预测AB92的去除效率,相关系数合适(R = 0.9836)。

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