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Porous triptycene network nanofilms with high molecular sieving accuracy for antibiotics separation.
- Source :
-
Journal of Membrane Science . Aug2024, Vol. 708, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- For antibiotics, the purification and separation in the synthesis process, as well as enrichment and recycling in the utilization process, has a profound impact on human health and environmental issues, which pose an unignorable challenge for selective molecular sieving of separation technology. Herein, we offered a convenient high-accuracy separation membrane construction by using three dimensional rigid triptycenes as building-blocks to fabricate porous triptycene networks polyarylate nanofilms (PTN-NFs) by interfacial polymerization. With permanent porous structure and excellent stability, the PTN-NF membrane exhibited remarkable separation precision around 90 g mol−1 scale for several mixture separation and significant selectivity as high as 39.3 for piperacillin/6-aminopenicillanic acid (6-APA) separation. The contorted rigid triptycene monomer 2,6,14-trihydroxyltriptycene (THT) was employed by one-step interfacial polymerization to fabricate a porous triptycene network (PTN) thin film membrane (PTN–NF– 1) for the first time. The PTN–NF– 1 manifested the high selective accuracy of ∼90 g mol−1, from which realized the precise separation in several mixed systems, including antibiotics separation of 6-APA/piperacillin, for which the selectivity was calculated to be 39.3. [Display omitted] • A new porous triptycene networks nanofilm was fabricated for the first time. • The membrane exhibited remarkable separation precision around 90 g mol−1 scale. • The membrane realized accurate molecular sieving in several mixtures. • The membrane reached 39.3 significant selectivity for piperacillin/6-APA separation. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03767388
- Volume :
- 708
- Database :
- Academic Search Index
- Journal :
- Journal of Membrane Science
- Publication Type :
- Academic Journal
- Accession number :
- 178642883
- Full Text :
- https://doi.org/10.1016/j.memsci.2024.123060