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Computational and Experimental Comparison of Molecularly Imprinted Polymers Prepared by Different Functional
Jing Yuan1, Ying Gao1, Xinzhuo Tian1
1Key Laboratory of Livestock Infectious Diseases, Ministry of Education, and Key Laboratory of Ruminant Infectious Disease Prevention and Control (East), Ministry of Agriculture and Rural Affairs, College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, 120 Dongling Road, Shenyang 110866, China.
This study introduces quantitative parameters, effective binding number (EBN) and maximum hydrogen bond number (HBNMax), to evaluate molecularly imprinted polymer (MIP) efficiency. These parameters aid in understanding MIP formation mechanisms for rational polymer design.
Area of Science:
- Polymer Chemistry
- Computational Chemistry
- Materials Science
Background:
- Advancements in computational chemistry provide insights into rational molecularly imprinted polymer (MIP) design.
- This study focuses on developing quantitative parameters to assess imprinting efficiency and elucidate MIP formation mechanisms.
Purpose of the Study:
- To combine simulation and experimental methods for evaluating imprinting efficiency.
- To explore the formation mechanism of MIPs.
- To establish quantitative parameters for MIP evaluation.
Main Methods:
- Utilized quantum chemical (QC) calculations and molecular dynamics (MD) simulations to investigate the pre-polymerization system of sulfadimethoxine (SDM).
- Prepared MIPs on silica gel surfaces using surface-initiated supplemental activator and reducing agent atom transfer radical polymerization (SI-SARA ATRP).
Main Results:
- QC calculations indicated higher bonding energies between carboxylic monomers and template molecules compared to carboxylic ester monomers.
- MD simulations corroborated QC findings on hydrogen bonding sites.
- Defined effective binding number (EBN) and maximum hydrogen bond number (HBNMax) as quantitative parameters for imprinting efficiency.
- Determined the optimal template to monomer molar ratio as 1:3 based on EBN and collision probability.
Conclusions:
- The proposed monomer screening method is applicable to future pre-polymerization systems with diverse templates and monomers.
- The quantitative parameters (EBN, HBNMax) offer a novel approach to evaluating MIPs.
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