Degradation of nitrate and secondary pollution in drinking water by S-NZVI prepared from steel pickling waste liquor

Li, Pengjun; Lin, Kairong; Fang, Zhanqiang; Zhang, Wenfeng

doi:10.1016/j.jher.2018.01.005

Cited by 3 publications

(1 citation statement)

References 38 publications

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“…The larger lattice constant is benefit for the electron transfer, thus improving the reactivity and selectivity for the reduction of contaminants (Xu et al 2020a). These achievements are impressive and indicate that S-nZVI has great potential for the removal of pollutants from water (Su et al 2015a;Li et al 2016Li et al , 2017aLi et al , 2018b.…”

Section: Introductionmentioning

confidence: 99%

Response surface design for removal of Cr(VI) by hydrogel-supported sulfidated nano zero-valent iron (S-nZVI@H)

You

Tong

et al. 2021

Water Science and Technology

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In this study, a new sulfidated nanoscale zero valent iron (S-nZVI) supported on hydrogel (S-nZVI@H) was successfully synthesized for the removal of Cr(VI) from groundwater. The surface morphology, dispersion phenomenon and functional groups of novel S-nZVI@H were characterized by scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR). Box-Behnken design (BBD) optimization technology based on response surface methodology (RSM) is applied to demonstrate the influence of the interaction of S-nZVI@H dose, initial Cr(VI) concentration, contact time, and initial pH with the Cr(VI) removal efficiency. The AVOVA results (F = 118.73, P < 0.0001, R2 = 0.9916) show that the quadratic polynomial model is significant enough to reflect the close relationship between the experimental and predicted values. The predicted optimum removal conditions are determined to be as follows: S-nZVI@H dose 9.46 g/L, initial Cr(VI) concentration 30 mg/L, contact time 40.7 min and initial pH 5.27, and the S-nZVI@H dose is the key factor affecting the removal of Cr(VI). The predicted value (99.76%) of Cr (VI) removal efficiency is in good agreement with the experimental value (97.75%), which verifies the validity of the quadratic polynomial model. This demonstrates that RSM with appropriate BBD can be considerably utilized to optimize the design of experiments for removal of Cr(VI).

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