Department of Environmental Health Engineering, School of Health, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran; Department of Technology of Chemistry, Azerbaijan State Oil and Industry University, Baku, Azerbaijan.
Department of Environmental Health Engineering, School of Health, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Environ Res. 2023 May 15;225:115507. doi: 10.1016/j.envres.2023.115507. Epub 2023 Feb 23.
Methylene Blue (MB) is a cationic dye causing various health problems such as asthma, heartbeat, eye and skin irritation, nausea, and distress during prolonged exposure. In this regard, the green magnetite nanoparticle was synthesized using the extract of Prosopis farcta. The synthesized FeOnanoparticle was characterized by X-ray powder diffraction (XRD), Field emission scanning electron microscopy (FESEM), energy-dispersive X-ray spectroscopy (EDX), transmission electron microscopy (TEM), Fourier transforms Infrared spectroscopy (FTIR), vibrating sample magnetometer (VSM), and Brunauer-Emmett-Teller (BET). The corresponding parameters, including the primary concentration of MB (5-65 mg/L), the dose of synthesized nanoparticle (0.025-0.925 g/L), solution pH (3-11), and contact time (20-60 min), were considered. Also, central composite design (CCD), as one of the response surface methodologies (RSM), was used for the related modelling and optimization. The particle size of the adsorbent was between 5 and 70 nm, and the nanoparticle has 206.75 m/g of a specific surface, 6.1 nm of average pore size, and 0.3188 cm/g of the total pore volume. The optimal conditions for MB removal by the nanoparticle were found to follow an initial MB concentration of 20 mg/L, 0.7 g/L of the nanoparticle dose, pH = 9, and a contact time of 50 min. The pseudo-second-order (PSO) and Freundlich models were the best kinetic and isothermal models for MB removal by the synthesized nanoparticle. Molecular modelling was used to optimize the MB molecular configuration and compute HOMO-LUMO energies, quantum-chemical descriptors, and molecular electrostatic potential to evaluate the nature reactivity of the MB molecule.
亚甲蓝(MB)是一种阳离子染料,会导致各种健康问题,如哮喘、心跳、眼睛和皮肤刺激、恶心和长时间暴露后的不适。在这方面,使用麻疯树的提取物合成了绿色磁铁矿纳米粒子。通过 X 射线粉末衍射(XRD)、场发射扫描电子显微镜(FESEM)、能谱(EDX)、透射电子显微镜(TEM)、傅里叶变换红外光谱(FTIR)、振动样品磁强计(VSM)和 Brunauer-Emmett-Teller(BET)对合成的 FeOnanoparticle 进行了表征。考虑了相关参数,包括 MB 的初始浓度(5-65mg/L)、合成纳米粒子的剂量(0.025-0.925g/L)、溶液 pH(3-11)和接触时间(20-60min)。此外,还使用中心复合设计(CCD)作为响应面法(RSM)之一对相关模型进行了优化。吸附剂的粒径在 5 到 70nm 之间,纳米粒子具有 206.75m/g 的比表面积、6.1nm 的平均孔径和 0.3188cm/g 的总孔体积。通过纳米粒子去除 MB 的最佳条件被发现遵循初始 MB 浓度为 20mg/L、纳米粒子剂量为 0.7g/L、pH=9 和接触时间为 50min。MB 去除的准二级(PSO)和 Freundlich 模型是合成纳米粒子去除 MB 的最佳动力学和等温模型。分子建模用于优化 MB 分子结构并计算 HOMO-LUMO 能量、量子化学描述符和分子静电势,以评估 MB 分子的反应性。