Tailored binding and transport parameters of molecularly imprinted films via macromolecular structure: The rational design of recognitive polymers

K. Ry Anne Noss, Asa D. Vaughan, Mark E. Byrne

    Research output: Contribution to journalArticle

    12 Citations (Scopus)

    Abstract

    Testosterone recognitive networks were synthesized varying feed crosslinking percentage and length of bifunctional crosslinking agent to analyze the effect of manipulating structural parameters on template binding parameters such as affinity, capacity, selectivity, and transport. Crosslinking agent was varied from 50 to 90% and associated networks experienced a twofold increase in capacity and a four-fold increase in affinity, with equilibrium association constants ranging from 0.30 ± 0.02 × 104 M-1 to 1.3 ± 0.1 × 104 M-1, respectively. The higher concentration of crosslinking monomer increased crosslinking points available for interchain stabilization creating an increased number of stable cavities for template association. However, by increasing the length of crosslinking agent ≈ 4.5 times, the mesh size of the network increased resulting in 40% faster template diffusional transport. A 77% crosslinked poly(MAA-co-PEG200DMA) recognitive network had an association constant of (0.20 ± 0.05) × 104 M-1 and bound (0.72 ± 0.04) × 10-2 mmol testosterone/g dry polymer which was less by six and threefold, respectively, compared to a similarly cross-linked poly(MAA-co-EGDMA) recognitive network. Structural manipulation of the macromolecular architecture illustrates the programmability of recognitive networks for specific binding parameters and diffusional transport, which may lead to enhanced imprinted sensor materials and successful integration onto sensor platforms.

    Original languageEnglish (US)
    Pages (from-to)3435-3441
    Number of pages7
    JournalJournal of Applied Polymer Science
    Volume107
    Issue number6
    DOIs
    StatePublished - Mar 15 2008

    Fingerprint

    Crosslinking
    Polymers
    Association reactions
    Testosterone
    Sensors
    Stabilization
    Monomers

    All Science Journal Classification (ASJC) codes

    • Chemistry(all)
    • Surfaces, Coatings and Films
    • Polymers and Plastics
    • Materials Chemistry

    Cite this

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    abstract = "Testosterone recognitive networks were synthesized varying feed crosslinking percentage and length of bifunctional crosslinking agent to analyze the effect of manipulating structural parameters on template binding parameters such as affinity, capacity, selectivity, and transport. Crosslinking agent was varied from 50 to 90{\%} and associated networks experienced a twofold increase in capacity and a four-fold increase in affinity, with equilibrium association constants ranging from 0.30 ± 0.02 × 104 M-1 to 1.3 ± 0.1 × 104 M-1, respectively. The higher concentration of crosslinking monomer increased crosslinking points available for interchain stabilization creating an increased number of stable cavities for template association. However, by increasing the length of crosslinking agent ≈ 4.5 times, the mesh size of the network increased resulting in 40{\%} faster template diffusional transport. A 77{\%} crosslinked poly(MAA-co-PEG200DMA) recognitive network had an association constant of (0.20 ± 0.05) × 104 M-1 and bound (0.72 ± 0.04) × 10-2 mmol testosterone/g dry polymer which was less by six and threefold, respectively, compared to a similarly cross-linked poly(MAA-co-EGDMA) recognitive network. Structural manipulation of the macromolecular architecture illustrates the programmability of recognitive networks for specific binding parameters and diffusional transport, which may lead to enhanced imprinted sensor materials and successful integration onto sensor platforms.",
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    Tailored binding and transport parameters of molecularly imprinted films via macromolecular structure : The rational design of recognitive polymers. / Noss, K. Ry Anne; Vaughan, Asa D.; Byrne, Mark E.

    In: Journal of Applied Polymer Science, Vol. 107, No. 6, 15.03.2008, p. 3435-3441.

    Research output: Contribution to journalArticle

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