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DOI 10.1080/09593330.2023.2251655

Медицинская библиотека · Environmental technology · 2023

As(V) adsorption by FeOOH@coal gangue composite from aqueous solution: performance and mechanisms.

Chen Min, Sun Yuan, Niu Jingwei, Zhou Hai, Zhou Yuzhi, Chen Xiaoyang

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Аннотация

Arsenic (As) pollution in water poses a significant threat to the ecological environment and human health. Meanwhile, the resource utilisation of coal gangue is of utmost importance in ecologically sustainable development. Thus, the FeOOH@coal gangue composite (FeOOH@CG) was synthesised for As(V) adsorption in this study. The results showed that α-FeOOH, β-FeOOH and Schwertmannite loaded on the surface of FeOOH@CG. Moreover, the adsorption behaviour of As(V) by FeOOH@CG was investigated under different reaction conditions, such as pH, contact time, initial concentration and co-existing anions. The optimum adsorption conditions were as follows: initial As(V) concentration of 60 mg/L, pH of 3.0 and adsorption time of 180-240 h. The adsorption capacity of FeOOH@CG for As(V) was pH-dependent and the maximum adsorption capacity was 185.94 mg/g. The presence of anions (H2PO4-, HCO3- and Cl-) decreased the adsorption efficiency of FeOOH@CG for As(V). The adsorption process of FeOOH@CG for As(V) could be well-described by the pseudo-second-order model and Langmuir model, indicating that the adsorption process mainly depended on chemical adsorption. The thermodynamic analysis suggested that the adsorption was a spontaneous and endothermic process. In addition, according to the analyses of XRD, FTIR and XPS, the dominant mechanisms of As(V) adsorption by FeOOH@CG were electrostatic attraction, complexation and precipitation. In conclusion, FeOOH@CG has great potential as an efficient and environmentally friendly adsorbent for As(V) adsorption from aqueous solution.

Для цитирования: Chen Min, Sun Yuan, Niu Jingwei, Zhou Hai, Zhou Yuzhi, Chen Xiaoyang. As(V) adsorption by FeOOH@coal gangue composite from aqueous solution: performance and mechanisms.. Environmental technology. 2023. DOI: 10.1080/09593330.2023.2251655.

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