Pillar[6]arenes Host–Guest Assembly Packed Membranes for the Separation of Enantiomers of a Racemic Mixture of Propranolol
Source abstract
Abstract
With the widespread utilization of racemic chiral pesticides in contemporary agriculture, chiral pesticide residues have emerged as significant environmental contaminants. Due to their ability to specifically interact with other chiral molecules within a chiral environment, enantiomers of chiral pesticides exhibit chirality-dependent biological activity and environmental behavior. In this study, a noncovalent approach was employed to fabricate a chiral nanochannel membrane filled with chiral pillar[6]arene polymer (LAP6P). Filling LAP6P significantly reduced the pore size, and a chiral selection coefficient was 10.91 with a separation flux of 447.65 μmol·m –2 ·h –1, leading to a 7.13-fold increase in the chiral selection coefficient compared to that of a monolayer-modified nanochannel membrane along with good cycle stability. This study provides a novel and effective method for constructing a chiral pesticide separation platform, and it provides convenience for studying the chiral dependence on the environmental behavior of chiral pesticides.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Supramolecular Chemistry and Complexes · Molecular Sensors and Ion Detection · Crystallography and molecular interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Green Pesticide, College of Chemistry
Central China Normal University
Department of Chemistry, College of Science
King Saud University
Funding
National Key Research and Development Program of China · King Saud University · Central China Normal University · National Natural Science Foundation of China
References (23)
Show source-provided references
1. 10.1584/jpestics.R08-0310.1584/jpestics.R08-03 ↗
2. 10.1021/es063022f10.1021/es063022f ↗
3. 10.1016/j.envpol.2010.03.01410.1016/j.envpol.2010.03.014 ↗
4. 10.1021/tx500481n10.1021/tx500481n ↗
5. 10.1080/0360123070139182310.1080/03601230701391823 ↗
6. 10.1016/j.scitotenv.2022.15993210.1016/j.scitotenv.2022.159932 ↗
7. 10.1016/j.chroma.2022.46359510.1016/j.chroma.2022.463595 ↗
8. 10.1016/j.envpol.2023.12208810.1016/j.envpol.2023.122088 ↗
9. 10.1021/acs.jafc.1c0625310.1021/acs.jafc.1c06253 ↗
10. 10.1016/j.trac.2009.07.00810.1016/j.trac.2009.07.008 ↗
11. 10.1021/tx500481n10.1021/tx500481n ↗
12. 10.1016/j.scitotenv.2022.15965610.1016/j.scitotenv.2022.159656 ↗
13. 10.1016/j.scitotenv.2022.15729410.1016/j.scitotenv.2022.157294 ↗
14. 10.1016/j.trac.2018.11.01010.1016/j.trac.2018.11.010 ↗
15. 10.1021/acs.jafc.0c0593810.1021/acs.jafc.0c05938 ↗
16. 10.1021/acs.chemrev.5b0076510.1021/acs.chemrev.5b00765 ↗
17. 10.1021/acs.accounts.2c0055510.1021/acs.accounts.2c00555 ↗
18. 10.1021/ar500177d10.1021/ar500177d ↗
19. 10.1021/jacs.6b0960110.1021/jacs.6b09601 ↗
20. 10.1021/acs.chemrev.9b0083910.1021/acs.chemrev.9b00839 ↗
21. 10.1002/chem.20120298510.1002/chem.201202985 ↗
22. 10.1002/chem.20110161110.1002/chem.201101611 ↗
23. 10.1016/j.xplc.2023.10067910.1016/j.xplc.2023.100679 ↗