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Defect-engineered C,N-ZnO/Co3O4/CoFe2O4/Fe3O4 for ultra-fast tetracycline degradation and environmental impact assessment using an in silico mathematical model

Abhivyakti, Paramdeep Kaur, Diksha Aggarwal, Nitansh, Sonal Singhal

Advanced Composites and Hybrid Materials, 2025

26 citations

Abstract

A significant breakthrough has been achieved in the ultra-fast degradation of toxic contaminants in wastewater. Novel C, N co-doped ZnO/Co 3 O 4 /CoFe 2 O 4 /Fe 3 O 4 quaternary oxide was engineered using a tri-metallic zeolitic imidazolate framework (Zn/Co/Fe-ZIF). The synthesized material degraded 85% tetracycline (TC) within just 15 s of visible light illumination (and achieved a total degradation of 90.9% in 6 min). The catalyst's remarkable performance was ascribed to the synergistic effect of dual S-scheme heterojunctions at the oxide's interface and the light-independent activation of H 2 O 2 by the multivalent cationic sites (Co 3+ /Co 2+ and Fe 3+ /Fe 2+ ) on the catalyst. These two mechanisms not only reduced the TC degradation time to just a few seconds, but also unlocked the degradation potential of the catalyst in the absence of light (70% TC degradation was achieved under ambient dark conditions). XPS studies showed that the ZIF-mediated synthesis introduced double or triple oxygen vacancy sites and N substitutional defects, which enhanced the catalyst’s efficiency by increasing the production of reactive oxygen species on its surface. VB-XPS and UPS analysis were performed to correctly elucidate the charge transfer mechanism in the heterostructure. The results of EPR and LC–MS studies established that the synthesized heterostructure is capable of generating abundant reactive oxygen species which are responsible for the fragmentation of TC molecules within a…

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Evidence Hub reads this as a simulation / modelling, done in computer models (in silico), not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

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