Title

Synergistic function of iron and cobalt in metallic glasses for highly improving persulfate activation in water treatment

Author Identifier

Lai-Chang Zhang

ORCID: 0000-0003-0661-2051

Document Type

Journal Article

Publication Title

Journal of Alloys and Compounds

Publisher

Elsevier

School

School of Engineering

RAS ID

30906

Funders

Australian Research Council

Grant Number

ARC Number: DP180101393

Comments

Jiang, J. L., Jia, Z., He, Q., Wang, Q., Lyu, F., Zhang, L. C., ... & Lu, J. (2020). Synergistic function of iron and cobalt in metallic glasses for highly improving persulfate activation in water treatment. Journal of Alloys and Compounds, 822, Article 153574. https://doi.org/10.1016/j.jallcom.2019.153574

Abstract

Although metallic glasses (MGs) with unique disordered atomic structure have increasingly attracted great research interest as one of the most innovative heterogeneous catalysts in water remediation, few works focused on the synergistic role of different elemental constituents to well understand their superb catalytic performance. Herein, Co atoms were selected to partially substitute for the Fe elements in Fe-based MGs to study the corresponding synergistic catalytic function in dye degradation. Experimental results demonstrated that the Fe36Co36Si4.8B19.2Nb4 MG with a kinetic rate constant of k = 0.06 min−1 degrades rhodamine B (RhB) dye 20 times faster than the Fe73.5Si13.5B9Cu1Nb3 MGs with k = 0.003 min−1. Three types of dye including RhB, methylene blue (MB) and malachite green were investigated to draw attention to the broad, practical applications. Various chemical parameters, such as catalyst dosage, persulfate concentration, and dye concentration, were also studied. Quenching experiments indicated that the highly active hydroxyl (⋅OH) and sulfate (SO4⋅−) radicals are largely produced from persulfate by the activation of the Fe36Co36Si4.8B19.2Nb4 MG catalyst. This critical work uncovers a new paradigm to establish an effective approach for alloy design in widespread catalytic applications.

DOI

10.1016/j.jallcom.2019.153574

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