A review of UiO-based MOF detection and removal strategies for antibiotics in water

Abstract

The widespread use of antibiotics in water has resulted in significant environmental contamination, posing potential health risks. This necessitates the development of efficient methods for their removal from wastewater. This review explores the potential of UiO (Universitetet i Oslo) metal–organic frameworks (MOFs) for the adsorption of dyes and pharmaceuticals from water. UiO MOFs possess exceptional characteristics, including ultra-high porosity and remarkable stability, making them ideal candidates for pollutant adsorption compared to traditional adsorbents. Studies have demonstrated the exceptional performance of UiO MOFs in removing antibiotics from water at various concentrations. This high adsorption efficiency is attributed to their extensive Brunauer–Emmett–Teller (BET) surface area and pore volume, offering numerous binding sites for pollutants. The adsorption affinity between UiO MOFs and antibiotics is governed by various interactions, such as electrostatic interactions, hydrogen bonding, and π–π stacking. These interactions are influenced by the surface charge of the target pollutant and the zeta potential of the MOF surface. Furthermore, the detection mechanisms for antibiotics including, fluorescence quenching, photocatalytic degradation, adsorption, sensing, and other methods, are discussed in this review. Overall, this review emphasizes the promising potential of UiO MOFs as efficient adsorbents for removing antibiotics from water, offering a viable solution for environmental cleanup.