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Toward Rational Design of Electrogenerated Molecularly Imprinted Polymers (eMIPs): Maximizing Monomer/Template Affinity AITranslate

Bennett Aerospace Inc.; Environmental Laboratory; Environmental Laboratory; Environmental Laboratory; 7005 University Blvd;Oak Ridge Institute for Science and Education; Environmental Laboratory; Environmental Laboratory; Environmental Laboratory
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Publisher: ACS
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Abstract AITranslate

Molecularly imprinted polymers (MIPs) may be used to confer specific recognition properties to a variety of practical sensors and sorbents. However, the synthetic parameters (monomer species, template/monomer ratio, etc.) used to generate MIPs significantly impact their sensitivity and selectivity, generally requiring arduous empirical optimization to obtain materials with maximal target affinity. We present a MIP synthesis strategy that prioritizes the optimization of the pre-polymerization complex as a predictive model for the final polymer properties and demonstrate how greater target affinity may be obtained without iterative analysis of the polymer film. 2,4-Dichlorophenoxyacetic acid (2,4-D), a prevalent herbicide, was chosen for detection using electrogenerated molecularly imprinted polymers (eMIPs). eMIPs were rationally designed using molecular simulations to down-select an ideal functional monomer with a maximal affinity for 2,4-D. Following monomer selection, proton-based nuclear magnetic resonance (1H NMR) titrations were used to verify the simulation results and optimize the monomer/2,4-D ratio by tracking the chemical shift associated with monomer/target binding. Following optimization, eMIPs were synthesized by the anodic electropolymerization of the selected monomer, o-phenylenediamine, onto gold substrates in the presence of 2,4-D, which was subsequently stripped away via solvent washing to reveal 2,4-D-specific binding sites. Surface sites were blocked upon 2,4-D association with the eMIP when placed in contaminated water, which was tracked electrochemically. The ability of molecular simulations and 1H NMR titrations to predict optimal monomer/2,4-D ratios was evaluated by fitting the experimental data to a Langmuir–Freundlich isotherm, revealing a significant increase in target affinity (Ka) and binding site homogeneity (m) related to the chemical shifts exhibited by the pre-polymerization complex for o-phenylenediamine (o-PD). The two techniques, when evaluated on o-PD, predicted ideal monomer/template ratios with remarkable agreement. Thus, the synthetic strategy outlined herein represents a streamlined approach for the rapid prototyping and design of eMIP-based sensing elements essential for the realization of next-generation polymeric sensors and sorbents.

KeyWords AITranslate

molecularly imprinted polymer electrochemical sensor rational design environmental monitoring polymer sorbent
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DOI:https://doi.org/10.1021/acsapm.1c00575

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Citation Information:

Molecularly imprinted polymers (MIPs) may be used to confer specific recognition properties to a variety of practical sensors and sorbents. However, the synthetic parameters (monomer species, template/monomer ratio, etc.) used to generate MIPs significantly impact their sensitivity and selectivity, generally requiring arduous empirical optimization to obtain materials with maximal target affinity. We present a MIP synthesis strategy that prioritizes the optimization of the pre-polymerization complex as a predictive model for the final polymer properties and demonstrate how greater target affinity may be obtained without iterative analysis of the polymer film. 2,4-Dichlorophenoxyacetic acid (2,4-D), a prevalent herbicide, was chosen for detection using electrogenerated molecularly imprinted polymers (eMIPs). eMIPs were rationally designed using molecular simulations to down-select an ideal functional monomer with a maximal affinity for 2,4-D. Following monomer selection, proton-based nuclear magnetic resonance (1H NMR) titrations were used to verify the simulation results and optimize the monomer/2,4-D ratio by tracking the chemical shift associated with monomer/target binding. Following optimization, eMIPs were synthesized by the anodic electropolymerization of the selected monomer, o-phenylenediamine, onto gold substrates in the presence of 2,4-D, which was subsequently stripped away via solvent washing to reveal 2,4-D-specific binding sites. Surface sites were blocked upon 2,4-D association with the eMIP when placed in contaminated water, which was tracked electrochemically. The ability of molecular simulations and 1H NMR titrations to predict optimal monomer/2,4-D ratios was evaluated by fitting the experimental data to a Langmuir–Freundlich isotherm, revealing a significant increase in target affinity (Ka) and binding site homogeneity (m) related to the chemical shifts exhibited by the pre-polymerization complex for o-phenylenediamine (o-PD). The two techniques, when evaluated on o-PD, predicted ideal monomer/template ratios with remarkable agreement. Thus, the synthetic strategy outlined herein represents a streamlined approach for the rapid prototyping and design of eMIP-based sensing elements essential for the realization of next-generation polymeric sensors and sorbents.

quote

GB/T 7714-2015 [1] P. U. Ashvin Iresh Fernando, Matthew W. Glasscott, Gilbert K. Kosgei, et al. ACS Applied Polymer Materials, 2021(3). DOI:10.1021/acsapm.1c00575.
MLA [1] P. U. Ashvin Iresh Fernando, et al., ACS Applied Polymer Materials, no. 3, 2021, https://doi.org/10.1021/acsapm.1c00575.
APA [1] P. U. Ashvin Iresh Fernando, Matthew W. Glasscott, Gilbert K. Kosgei, Jared S. Cobb, Erik M. Alberts, Caitlin G. Bresnahan, Timothy C. Schutt, Garrett W. George, & Lee C. Moores. (2021). ACS Applied Polymer Materials(3). https://doi.org/10.1021/acsapm.1c00575
IEEE [1] P. U. Ashvin Iresh Fernando, Matthew W. Glasscott, Gilbert K. Kosgei, Jared S. Cobb, Erik M. Alberts, Caitlin G. Bresnahan, Timothy C. Schutt, Garrett W. George, and Lee C. Moores, ACS Applied Polymer Materials, no. 3, 2021, doi: 10.1021/acsapm.1c00575. keywords: {molecularly imprinted polymer;electrochemical sensor;rational design;environmental monitoring;polymer sorbent}