Authors
Aya S Mahmoud, Abdelrahman M Rabie
Published in
Scientific reports. Volume 16. Issue 1. Aug 08, 2026. Epub Aug 08, 2026.
Abstract
Peroxymonosulfate (PMS)-based advanced oxidation processes have attracted considerable attention for degrading persistent organic pollutants in wastewater. However, developing efficient and stable catalysts for PMS activation remains a challenge. This study aims to design hybrid catalysts combining layered double hydroxide (LDH) and metal-organic framework (MOF) structures to enhance catalytic performance through interfacial synergy. Two bimetallic composites, CoCu-LDH@CoCu-MOF (LM) and CoCu-MOF@CoCu-LDH (ML), were synthesized and characterized using X-ray diffraction, Fourier transform infrared spectroscopy, X-ray photoelectron spectroscopy, Brunauer-Emmett-Teller analysis, scanning electron microscopy, and transmission electron microscopy. Their catalytic performance was evaluated in PMS-activated degradation of organic pollutants under optimized conditions, supported by radical quenching and reusability tests. LM showed superior catalytic activity, achieving 98.9% degradation of methylene blue (MB) within 10 min., and effectively degrading other pollutants Under the same optimized conditions, the LM/PMS system also achieved 99.6% removal of crystal violet (CV) and complete (100%) removal of malachite green (MG) within 10 min, along with 91.1% removal of p-nitrophenol (PNP) and 82.7% removal of tetracycline hydrochloride (TCH) within the same time frame, confirming the broad applicability of the system toward structurally diverse organic contaminants. Mechanistic studies indicated that singlet oxygen (1O2) was the dominant reactive species, with additional contributions from hydroxyl, sulfate, and superoxide radicals. The catalyst retained 96.9% removal efficiency after three cycles. This performance is attributed to the synergistic LDH-MOF interface, which enhances reactive species generation and provides abundant active sites for efficient PMS activation.
PMID:
42570977
Bibliographic data and abstract were imported from PubMed on 09 Aug 2026.
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