4.7 Review

Recent advances in performance improvement of Metal-organic Frameworks to remove antibiotics: Mechanism and evaluation

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 811, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2021.152351

Keywords

Metal-organic Framework; Properties improvement; Adsorption; Photocatalysis; Performance evaluation

Funding

  1. National Natural Science Foundation of China [82003508, 82073607]
  2. Natural Science Foundation of Hunan Province [2021JJ40718]
  3. Novel Coronavirus Pneumonia Emergency Special Science and Technology Plan of Changsha City [kq2001035]
  4. Fundamental Research Funds for the Central Universities of Central South University [2021zzts0964]

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This review summarizes the effectiveness of Metal-Organic Frameworks (MOFs) based adsorption and photocatalysis strategies in addressing antibiotic pollution and environmental repair. Strategies to improve the properties of MOFs for removal and the removal mechanisms are discussed. Additionally, new evaluation methods for MOFs to remove antibiotics are presented.
Antibiotic pollution is a serious global problem, which may threaten the health of human and ecosystem. Thereinto, water pollution is the most common way. Thus, it is necessary to develop effective methods to remove antibiotics from the natural aqueous environments. Metal-organic Frameworks (MOFs) - based adsorption and photocatalysis strategies have been demonstrated to be efficient, environmental and promising methods to solve antibiotic pollution and repair the environment. In this review, several strategies to improve the properties of MOFs for removal were summarized and discussed. And the removal mechanisms were also discussed. Besides, new and more reliable evaluation methods of MOFs to remove antibiotics were presented, including preferential adsorption (qp), quantum yields (QY), space time yields (SY) and figure of merit (FOM). This paper provides alternative perspectives for researchers to improve the properties of MOFs and raise analytic efficiency of antibiotic removal.

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