Bagheri Ahmad Reza, Ghaedi Mehrorang, Asfaram Arash, Bazrafshan Ali Akbar, Jannesar Ramin
Chemistry Department, Yasouj University, Yasouj 75918-74831, Iran.
Chemistry Department, Yasouj University, Yasouj 75918-74831, Iran.
Ultrason Sonochem. 2017 Jan;34:294-304. doi: 10.1016/j.ultsonch.2016.05.047. Epub 2016 Jun 2.
The present study the ultrasound assisted adsorption of dyes in single system onto FeO magnetite nanoparticles loaded on activated carbon (FeO-MNPs-AC) was described following characterization and identification of this adsorbent by conventional techniques likes field emission scanning electron microscopy, transmission electron microscopy, particle-size distribution, X-ray diffraction and Fourier transform infrared spectroscopy. A central composite design in conjunction with a response surface methodology according to f-test and t-test for recognition and judgment about significant term led to construction of quadratic model which represent relation among responses and effective terms. This model has unique ability to predict adsorption data behavior over a large space around central and optimum point. Accordingly Optimum conditions for well and quantitative removal of present dyes was obtained best operation and conditions: initial SY, MB and EB dyes concentration of 15, 15 and 25mgL, 4.0, 6.0 and 5.0 of pH, 360, 360 and 240s sonication time and 0.04, 0.03 and 0.032g of FeO-MNPs-AC. Replication of similar experiment (N=5) guide that average removal percentage of SY, MB and EB were found to be 96.63±2.86%, 98.12±1.67% and 99.65±1.21% respectively. Good agreement and closeness of Predicted and experimental result and high adsorption capacity of dyes in short time strongly confirm high suitability of present method for waste water treatment, while easy separation of present nanoparticle and its good regeneration all support good applicability of FeO-MNPs-AC for waste water treatment. The kinetic study can be represented by combination of pseudo second-order and intraparticle diffusion. The obtained maximum adsorption capacities correspond to Langmuir as best model for representation of experimental data correspond to dyes adsorption onto FeO-MNPs-AC were 76.37, 78.76 and 102.00mgg for SY, MB and EB, respectively. In addition, the performance comparison of ultrasound-assisted, magnetic stirrer assisted and vortex assisted adsorption methods demonstrates that ultrasound is an effective and good choice for facilitation of adsorption process via. Compromise of simple and facile diffusion.
本研究描述了在通过场发射扫描电子显微镜、透射电子显微镜、粒度分布、X射线衍射和傅里叶变换红外光谱等传统技术对负载在活性炭上的FeO磁铁矿纳米颗粒(FeO-MNPs-AC)进行表征和鉴定之后,单体系中染料在其上面的超声辅助吸附。根据f检验和t检验进行识别和判断显著项,采用中心复合设计结合响应面方法构建了二次模型,该模型表示响应与有效项之间的关系。该模型具有独特的能力来预测中心和最优点周围大空间内的吸附数据行为。据此,获得了对当前染料进行良好且定量去除的最佳操作条件:初始SY、MB和EB染料浓度分别为15、15和25mg/L,pH分别为4.0、6.0和5.0,超声处理时间分别为360、360和240秒,FeO-MNPs-AC用量分别为0.04、0.03和0.032g。类似实验的重复(N = 5)表明,SY、MB和EB的平均去除率分别为96.63±2.86%、98.12±1.67%和99.65±1.21%。预测结果与实验结果的良好一致性和接近性以及染料在短时间内的高吸附容量有力地证实了本方法对废水处理具有高度适用性,而当前纳米颗粒易于分离及其良好的再生性能均支持FeO-MNPs-AC在废水处理中的良好适用性。动力学研究可以用准二级动力学和颗粒内扩散的组合来表示。对于SY、MB和EB,对应于染料吸附到FeO-MNPs-AC上的实验数据的最佳表示模型Langmuir所获得的最大吸附容量分别为每克76.37、78.76和102.00毫克。此外,超声辅助、磁力搅拌辅助和涡旋辅助吸附方法的性能比较表明,超声是通过简单且容易的扩散折衷来促进吸附过程的有效且良好的选择。