Chrome Extension
WeChat Mini Program
Use on ChatGLM

Development of a Magnetic Ce-Zr Bimetallic MOF As an Efficient Catalytic Ozonation Mediator: Preparation, Characterization, and Catalytic Activity

SEPARATION AND PURIFICATION TECHNOLOGY(2023)

Tarbiat Modares Univ | Univ Politecn Madrid

Cited 11|Views8
Abstract
We studied the catalytic activity of a series of magnetic CeZrUiO-66 Metal-Organic Framework (MOF) com-posites (Fe3O4/CeZrUiO-66) for ciprofloxacin (CIP) degradation by catalytic ozonation. The most efficient catalyst for the degradation of ciprofloxacin is the composite with a 30:70 ratio of Fe3O4:CeZrUiO-66, achieving a 97 % elimination yield within 30 min. The kinetics of CIP degradation in the single ozonation process (SOP) and the catalytic ozonation process (COP) were 0.019 and 0.072 min(-1), respectively. The degree of CIP minerali-zation in the COP was around 54 %, which is higher than that in the SOP under similar conditions. The eval-uation of reaction efficiency in the presence of various inhibitors revealed that center dot OH radicals are the main reactive species, although O-2(center dot-) also contributed to CIP degradation. Examination of the generated intermediates using liquid chromatography-mass spectrometry (LC-MS) determined the degradation mechanism pathways in the catalytic ozonation process using the prepared new MOF. The stability of the prepared magnetic composite after several consecutive runs confirms the catalyst's reusability and the possible prospects of further application of the composite catalyst.
More
Translated text
Key words
Catalytic ozonation,MOF,Doping,Antibiotic degradation,Mineralization
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
2019

被引用372 | 浏览

Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined