In this work, FeO/CoNi-MOF was synthesized by a simple solvothermal method. The catalytic performance of 0.2-FeO/CoNi-MOF toward PMS activation was studied by degradation of 20 mg/L methylene blue (MB). The results indicated that 0.2-FeO/CoNi-MOF had good catalytic ability, the removal rate of MB was 99.4% within 60 min with 125 mg/L PMS and 150 mg/L catalyst. Quenching experiment and electron paramagnetic resonance (EPR) analysis revealed that the singlet oxygen (O), superoxide radical (•O) and sulfate radical (SO) played a crucial role in the catalytic degradation process. Meantime, mechanism of PMS activation by 0.2-FeO/CoNi-MOF was proposed, the electrons donated by Fe can also enhance the Co-Ni cycles. In conclusion, FeO/CoNi-MOF composite catalyst has the advantages of simple preparation, excellent catalytic activity and reusability, which is an effective catalyst for water pollution control.
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http://dx.doi.org/10.1007/s11356-023-27369-4 | DOI Listing |
Environ Res
January 2025
Ministry of Ecology and Environment South China Institute of Environmental Sciences, Guangzhou 510655, China; Key Laboratory of Water Environmental Simulation and Pollution Control, Ministry of Ecology and Environment, Guangzhou 510655, China. Electronic address:
Iron-activated peroxyacetic acid (PAA) represents an innovative advanced oxidation process (AOP). However, the efficiency of PAA activation by Fe(III) is often underestimated due to the widespread assumption that Fe(III) exhibits much lower ability than Fe(II) to activate PAA. Herein, the oxidative degradation of Rhodamine B (RhB) by Fe(III)-activated PAA process was investigated, and some new insights into the performance and mechanism of the Fe(III)/PAA system were presented.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Shaanxi Key Laboratory of Catalysis, College of Chemical and Environment Science, Shaanxi University of Technology, Hanzhong 723000, PR China.
Sulfur-containing gases produced during the utilization of petroleum fuels are the main cause of air pollution. To remove organic sulfur-containing compounds from simulated gasoline, magnetic hydrophobic Cu-containing SBA-15 mesoporous molecular sieves (PMS-Cu) were prepared by magnetization of the sample, loading and reduction of copper ion and hydrophobic treatment of the sample. The composition and structure of the synthesized composites were characterized by XRD, FTIR, SEM, TEM, and XPS, which proved the successful preparation of the adsorbent PMS-Cu.
View Article and Find Full Text PDFSmall
January 2025
Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.
A polyacrylamide gel method has been used to synthesize a variety of polyvalent-transition-metal-doped Ni position of high entropy spinel oxides (NiZnMgCuCo)AlO-800 °C (A) on the basis of NiAlO, and the catalytic activity of A is studied under the synergistic action of peroxymonosulfate (PMS) activation and simulated sunlight. The A containing polyvalent transition metals (Ni, Cu, and Co) can effectively activate PMS and efficiently degrade levofloxacin (LEV) and tetracycline hydrochloride (TCH) under simulated sunlight irradiation. After 90 min of light exposure, the degradation percentages of LEV (50 mg L) and TCH (100 mg L) degrade by the A/PMS/vis system reach 87.
View Article and Find Full Text PDFInorg Chem
January 2025
College of Chemistry, Chemical Engineering and Environment, Minnan Normal University, Zhangzhou 363000, China.
Upcycling organic and inorganic waste into value-added metal-organic frameworks (MOFs) presents a sustainable strategy for mitigating waste pollution and promoting economic viability. However, rapid synthesis of MOF materials derived from actual industrial waste under mild conditions remains challenging. Herein, Fe-MOF MIL-88B(Fe) was successfully fabricated within 1 h at room temperature using galvanizing pickling waste liquid and terephthalic acid derived from waste poly(ethylene terephthalate).
View Article and Find Full Text PDFCureus
December 2024
Internal Medicine, Belgaum Institute of Medical Science, Belgaum, IND.
Several studies explored the application of artificial intelligence (AI) in magnetic resonance imaging (MRI)-based rectal cancer (RC) staging, but a comprehensive evaluation remains lacking. This systematic review aims to review the performance of AI models in MRI-based RC staging. PubMed and Embase were searched from the inception of the database till October 2024 without any language and year restrictions.
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