Isiyaka Hamza Ahmad, Jumbri Khairulazhar, Sambudi Nonni Soraya, Zango Zakariyya Uba, Saad Bahruddin, Mustapha Adamu
Fundamental and Applied Sciences Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia.
Chemical Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia.
R Soc Open Sci. 2021 Jan 13;8(1):201553. doi: 10.1098/rsos.201553. eCollection 2021 Jan.
Effective removal of 4-chloro-2-methylphenoxyacetic acid (MCPA), an emerging agrochemical contaminant in water with carcinogenic and mutagenic health effects has been reported using hydrothermally synthesized MIL-101(Cr) metal-organic framework (MOF). The properties of the MOF were ascertained using powdered X-ray diffraction (XRD), Fourier transform infrared (FTIR) spectroscopy, thermal gravimetric analysis (TGA), field emission scanning electron microscopy (FESEM) and surface area and porosimetry (SAP). The BET surface area and pore volume of the MOF were 1439 m g and 0.77 cm g, respectively. Artificial neural network (ANN) model was significantly employed for the accurate prediction of the experimental adsorption capacity ( ) values with minimal error. A rapid removal of the pollutant (99%) was recorded within short time (approx. 25 min), and the reusability of the MOF (20 mg) was achieved up to six cycles with over 90% removal efficiency. The kinetics, isotherm and thermodynamics of the process were described by the pseudo-second-order, Freundlich and endothermic adsorption, respectively. The adsorption process is spontaneous based on the negative Gibbs free energy values. The significant correlation between the experimental findings and simulation results suggests the great potential of MIL-101(Cr) for the remediation of MCPA from water matrices.
据报道,使用水热合成的MIL-101(Cr)金属有机框架(MOF)可有效去除水中一种新出现的具有致癌和致突变健康影响的农业化学污染物4-氯-2-甲基苯氧基乙酸(MCPA)。使用粉末X射线衍射(XRD)、傅里叶变换红外(FTIR)光谱、热重分析(TGA)、场发射扫描电子显微镜(FESEM)以及表面积和孔隙率测定(SAP)来确定MOF的性质。该MOF的BET表面积和孔体积分别为1439 m²/g和0.77 cm³/g。人工神经网络(ANN)模型被显著用于以最小误差准确预测实验吸附容量( )值。在短时间内(约25分钟)记录到污染物的快速去除率(99%),并且20 mg的MOF可重复使用多达六个循环,去除效率超过90%。该过程的动力学、等温线和热力学分别由伪二级、弗伦德里希和吸热吸附来描述。基于负吉布斯自由能值,吸附过程是自发的。实验结果与模拟结果之间的显著相关性表明MIL-101(Cr)在从水基质中修复MCPA方面具有巨大潜力。