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Smart Molecularly Imprinted Polymer Based on Liquid Crystals for Herbicide Recognition
| Content Provider | Hyper Articles en Ligne (HAL) |
|---|---|
| Author | Bouchikhi, Nouria Lerari, Djahida Dergal, Faycal Soppera, Olivier Beladghame, Ouahiba Maschke, Ulrich Bachari, Khaldoun Bedjaoui-Alachaher, Lamia |
| Copyright Year | 2023 |
| Abstract | This study focuses on the development and characterization of molecularly imprinted thin films in the absence and presence of a liquid crystal monomer, as well as the evaluation of these materials for recognition of the herbicide 2,4-dichlorophenoxyacetic acid (2,4-D). Molecular imprinted polymers (MIPs) and non-imprinted polymers (NIPs) were prepared by using two functional monomers, n-butylmethacrylate (BMA) and liquid crystalline (LC) 6-(4-cyanophenyl-4'phenoxy) hexyl acrylate (A6OCB). The resulting (MIPs) and (NIPs) materials were characterized by infra-red spectroscopy (FTIR), Raman spectroscopy, polarized optical microscopy (POM) and atomic force microscopy (AFM). The entire monomer consumption, as well as the successful loading and extraction of the 2,4-D molecules, were validated by FTIR and Raman analyses. POM and AFM characterization revealed that the percentage of liquid crystal influenced the distribution of the liquid crystal domains, and that the MIP films exhibited remarkable porosity. The experimental results revealed that the MIP films had a substantially higher adsorption capacity towards 2,4-D than the NIP materials, and that increasing the liquid crystal content increased the adsorption capacity of both the MIP and NIP films. The selectivity tests in the presence of phenoxyacetic acid (POAc) showed that the MIP films exhibited higher affinity for 2,4-D than for the POAc. |
| Related Links | https://hal.science/hal-04265322/file/Revised%20MANUSCRIPT%2012-10-23%20HAL.pdf |
| ISSN | 00222348 |
| e-ISSN | 1525609X |
| DOI | 10.1080/00222348.2023.2272366 |
| Journal | Journal of Macromolecular Science Part B Physics |
| Language | English |
| Publisher | HAL CCSD Taylor & Francis: STM, Behavioural Science and Public Health Titles |
| Access Restriction | Open |
| Subject Keyword | recognition capacity 4-D extraction Imprinted polymer selectivity factor liquid crystal Polymers Chemical Sciences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Chemistry Materials Chemistry Condensed Matter Physics Chemical Engineering Polymers and Plastics |
