Ghaedi Mehrorang, Khodadoust Saeid, Sadeghi Hossein, Khodadoust Mohammad Ali, Armand Raham, Fatehi Allahdad
Chemistry Department, Yasouj University, Yasouj, Iran.
Medicinal Plants Research Center, Yasuj University of Medical Science, Yasuj, Iran; Behbahan Khatam Alanbia University of Technology, Behbahan, Iran.
Spectrochim Acta A Mol Biomol Spectrosc. 2015 Feb 5;136 Pt B:1069-75. doi: 10.1016/j.saa.2014.09.131. Epub 2014 Oct 24.
In this study, copper sulfide nanoparticles loaded on activated carbon (CuS-NP-AC) were synthesized by novel, low cost and green approach and characterized using SEM and XRD. The application of this material for the simulations removal of auramine O (AO) and safranine O (SO) from aqueous solutions was investigated. The dependency of removal percentages to variables such as pH, initial dyes concentration, adsorbent dosage, sonication time and sonication temperature were studied with response surface methodology (RSM) by considering the desirability function (DF). The quadratic model between the dependent and the independent variables was built. The proposed method showed good agreement between the experimental data and predictive value, and it has been successfully employed to removal of AO and SO in aqueous media. The studied adsorbent (0.06 g of CuS-NP-AC) was capable of high percentage removal (99.8% and 99.5%) of 18 mg mL(-1) AO and SO in short time (7.0 min).
在本研究中，采用新颖、低成本且绿色的方法合成了负载在活性炭上的硫化铜纳米颗粒（CuS-NP-AC），并通过扫描电子显微镜（SEM）和X射线衍射（XRD）对其进行了表征。研究了该材料用于模拟去除水溶液中碱性嫩黄O（AO）和番红花红O（SO）的情况。通过响应面法（RSM）并考虑合意性函数（DF），研究了去除率对pH值、初始染料浓度、吸附剂用量、超声时间和超声温度等变量的依赖性。建立了因变量与自变量之间的二次模型。所提出的方法在实验数据和预测值之间显示出良好的一致性，并且已成功用于去除水介质中的AO和SO。所研究的吸附剂（0.06 g CuS-NP-AC）能够在短时间（7.0分钟）内对18 mg mL(-1)的AO和SO实现高去除率（99.8%和99.5%）。
