Fixed-bed adsorption studies of endocrine-disrupting compounds from water by using novel calcium-based metal-organic frameworks.

Environ Pollut

Department of Environment, Faculty of Forestry and Environment, Universiti Putra Malaysia, 43400, UPM, Serdang, Selangor, Malaysia; International Institute of Aquaculture and Aquatic Sciences, Universiti Putra Malaysia, 71050, Port Dickson, Negeri Sembilan, Malaysia. Electronic address:

Published: January 2024

AI Article Synopsis

  • Emerging water pollutants like EDCs (e.g., EE2, BPA, PFOA) in contaminated water create both environmental and health issues.
  • This study investigates the adsorption efficiency of innovative calcium-based metal-organic frameworks (Ca-MIX) for removing these compounds, focusing on variables like influent concentration and flow rate, with bed height being key.
  • Results showed that the maximum adsorption capacities were highest for EE2, followed closely by BPA and then PFOA, with the Yan model best predicting the adsorption process, highlighting its potential for improving water treatment methods.

Article Abstract

The presence of emerging water pollutants such as endocrine-disrupting compounds (EDCs), including 17-ethynylestradiol (EE2), bisphenol A (BPA), and perfluorooctanoic acid (PFOA), in contaminated water sources poses significant environmental and health challenges. This study aims to address this issue by investigating the efficiency of novel calcium-based metal-organic frameworks, known as mixed-linker calcium-based metal-organic frameworks (Ca-MIX), in adsorbing these endocrine-disrupting compounds. This study analyzed the influence of influent concentration, bed height, and flow rate on pollutant removal, with bed height emerging as a crucial factor. From the breakthrough curves, it was determined that the column maximum adsorption capacities followed the order of 17-ethynylestradiol (101.52 μg/g; 40%) > bisphenol A (99.07 μg/g; 39%) > perfluorooctanoic acid (81.28 μg/g; 32%). Three models were used to predict the adsorption process, with the Yan model outperforming the other models. This suggests the potential of mixed-linker calcium-based metal-organic frameworks for removing endocrine-disrupting compounds from water, using the Yan model as an effective predictor. Overall, this study provides valuable insights for the development of effective water treatment methods using mixed-linker calcium-based metal-organic frameworks to remove endocrine-disrupting compounds from contaminated water sources.

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Source
http://dx.doi.org/10.1016/j.envpol.2023.122980DOI Listing

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