Adsorption isotherm and kinetic analysis of molecularly imprinted polymer with two functional monomers for quantification of atrazine
The extensive use of atrazine as a pesticide in agricultural practices poses a significant risk to the environment and human health. Atrazine, when applied to plants, has the potential to migrate through the soil and contaminate groundwater sources. Consequently, there is an urgent need to explo...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en en |
| Published: |
Taylor & Francis
2023
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/109733/7/109733_Adsorption%20isotherm%20and%20kinetic%20analysis.pdf http://irep.iium.edu.my/109733/8/109733_Adsorption%20isotherm%20and%20kinetic%20analysis_Scopus.pdf http://irep.iium.edu.my/109733/ https://www.tandfonline.com/doi/full/10.1080/03067319.2023.2277888 https://doi.org/10.1080/03067319.2023.2277888 |
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| Summary: | The extensive use of atrazine as a pesticide in agricultural practices
poses a significant risk to the environment and human health.
Atrazine, when applied to plants, has the potential to migrate
through the soil and contaminate groundwater sources.
Consequently, there is an urgent need to explore alternative methods
for detecting atrazine. This study aimed to investigate the
quantification of atrazine using molecularly imprinted polymer
(MIP) and to assess the adsorption performance and kinetics of
the MIPs using various isotherm and kinetic adsorption models.
MIP was synthesised with two distinct functional monomers:
methacrylic acid (MAA) and acrylamide (AA). Computational analysis
was employed to estimate the binding affinity of these monomers
towards atrazine. Subsequently, results from adsorption
capacity study indicated a higher binding affinity for MAA compared
to AA with values of 0.92 mg/g and 0.48 mg/g, respectively.
These findings aligned with the simulated data from the docking
analysis. Moreover, the adsorption mechanism of atrazine towards
MIP-MAA and MIP-AA was best represented by Jovanovic model,
followed by the Langmuir, Freundlich and Linear models. While for
kinetics analysis, the Elovich model was chosen as the best fit. In
conclusion, the selection of the functional monomer is of utmost
importance in designing MIPs as it facilitates specific interactions
with analyte molecules and enhances the performance of the MIPs. |
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