Optimization on removal of 2,4-dichlorophenol by sodium carboxymethyl cellulose modified nanoscale Pd/Fe bimetal with response surface methodology

被引:1
|
作者
Zhong, Jinkui [1 ,2 ]
Zhou, Xinyue [1 ]
Zhu, Caiya [1 ]
Zhang, Yin [1 ]
He, Jiawen [1 ]
Gao, Yuanhu [1 ]
Wang, Liguo [1 ,3 ]
机构
[1] Lanzhou Jiaotong Univ, Sch Environm & Municipal Engn, 188 Anning West Rd, Lanzhou 730070, Gansu, Peoples R China
[2] Key Lab Yellow River Water Environm Gansu Prov, Lanzhou 730070, Peoples R China
[3] Shenzhen Municipal Design & Res Inst Co Ltd, Shenzhen 518000, Peoples R China
基金
中国国家自然科学基金;
关键词
4-dichlorophenol; Nano-zero-valent-iron; Bimetal; Sodium carboxymethyl cellulose; Response surface methodology; ZERO-VALENT IRON; NANOPARTICLES; DEGRADATION; HYDRODECHLORINATION; IMMOBILIZATION; DECHLORINATION; PARTICLES; PHENOL;
D O I
10.1016/j.dwt.2024.100216
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
2,4-dichlorophenol (2,4-DCP) is a toxic and harmful organic intermediate widely used in industrial production. Recently, the utilization of nano-zero-valent iron (NZVI) for 2,4-DCP treatment has gained significant popularity, but the deactivation and agglomeration of NZVI always appear and continue to present challenges. To address these issues, sodium carboxymethyl cellulose (CMC) and noble metal catalyst Pd are used as stabilizers to improve the removal efficiency of NZVI on 2,4-DCP. The CMC-modified nanoscale Pd/Fe bimetal (CMC-Pd/Fe) particles were prepared by the liquid phase reduction method and characterized by scanning electron microscopy (SEM), Fourier infrared spectroscopy (FTIR), and X-ray diffraction (XRD). The results showed that the addition of Pd and CMC succeeded in ameliorating the aggregation of NZVI. A five-level-four-factor central composite design (CCD) of response surface methodology (RSM) was used to optimize the removal of 2,4-DCP by CMC-Pd/Fe and explored the factors influencing the removal of 2,4-DCP, including the amount of catalyst, the initial pH of the system, the time of reaction, and the initial concentration of 2,4-DCP. A statistically significant and well-fitting quadratic regression model was successfully constructed to predict 2,4-DCP removal efficiency. The high F-value of 14.35, very low p-value (< 0.0001), nonsignificant Lack of Fit, and appropriate coefficient of determination of 0.9399 demonstrate a good correlation between the experimental and predicted values of the proposed model. The analyses of variance reveal catalyst amount and reaction time have a positive effect on the removal efficiency of 2,4-DCP and the CMC-Pd/Fe catalyst amount shows the most apparent significance, with PC (percent contribution) greater than 26. Conversely, pH and 2,4-DCP concentration have a negative impact on the removal process. The optimum condition is 1.10 g/L of catalyst amount, 5.63 of pH, 2.31 h of reaction time, and 20 mg/L of initial 2,4-DCP concentration. The validation results from parallel experiments showed that the average removal efficiency of 2,4-DCP reached 96.32% under the optimal conditions.
引用
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页数:11
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