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Cited by 161

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Adsorption of Pharmaceutical Pollutants from Water Using Covalent Organic Frameworks

Mellah, Abdelkarim, Fernandes, Soraia P. S., Rodríguez, Ramón, Otero, José, Paz, Jairo, Cruces, Jacobo, Medina, Dana D., Djamila, Harik, Espiña, Begoña, Salonen, Laura M.·2018·Chemistry – A European Journal

Abstract

Capture of pharmaceutical pollutants from water was studied using a novel fluorine‐bearing covalent organic framework TpBD‐(CF 3)2, which showed ibuprofen adsorption capacity of 119 mg g−1 at neutral pH. This value is further enhanced at pH 2, highlighting the potential of this class of materials to serve as adsorbents even under harsh conditions. The adsorbed pharmaceutical can be recovered from TpBD‐(CF 3)2 in high yield, offering the option of recycling both the adsorbent and the pharmaceutical. The high efficiency of ibuprofen capture as compared to other less lipophilic pharmaceuticals suggests that COFs can be pre‐designed for selective capture of contaminants.

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Metadata

Authors
Mellah, A., Fernandes, S. P. S., Rodríguez, R., Otero, J., Paz, J., Cruces, J., Medina, D. D., Djamila, H., Espiña, B., & Salonen, L. M.
Venue
Chemistry – A European Journal
Publisher
Wiley
Published
2018-07-09
Volume
24
Issue
42
Pages
10601-10605
ISSN
  • 0947-6539 (ISSN-L)
  • 1521-3765
OpenAlex
W2808482324
Cited by
161
References
1
FWCI
4.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adsorption of Pharmaceutical Pollutants from Water Using Covalent Organic Frameworks. https://app.cochat.ai/papers/10.1002/chem.201801649
The paper
Mellah, A., Fernandes, S. P. S., Rodríguez, R., Otero, J., Paz, J., Cruces, J., Medina, D. D., Djamila, H., Espiña, B., & Salonen, L. M. (2018). Adsorption of Pharmaceutical Pollutants from Water Using Covalent Organic Frameworks. Chemistry – A European Journal. https://doi.org/10.1002/chem.201801649

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.