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Electrospun Nylon Fibers with Integrated Polypyrrole Molecularly Imprinted Polymers for the Detection of Glucose
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    Electrospun Nylon Fibers with Integrated Polypyrrole Molecularly Imprinted Polymers for the Detection of Glucose
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    • Robert D. Crapnell
      Robert D. Crapnell
      Faculty of Science and Engineering, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, United Kingdom
    • Ryan J. Street
      Ryan J. Street
      Faculty of Science and Engineering, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, United Kingdom
    • Valentine Ferreira-Silva
      Valentine Ferreira-Silva
      Department of Mechanical Engineering, Institut National Des Sciences Appliquées Lyon, 69100 Villeurbanne, France
    • Michael P. Down
      Michael P. Down
      Faculty of Science and Engineering, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, United Kingdom
    • Marloes Peeters
      Marloes Peeters
      School of Engineering, Newcastle University, Merz Court, Claremond Road, Newcastle Upon Tyne NE1 7RU, United Kingdom
    • Craig E. Banks*
      Craig E. Banks
      Faculty of Science and Engineering, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, United Kingdom
      *Email: [email protected]. Tel: +44 (0)1612 471196.
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    Analytical Chemistry

    Cite this: Anal. Chem. 2021, 93, 39, 13235–13241
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    https://doi.org/10.1021/acs.analchem.1c02472
    Published September 22, 2021
    Copyright © 2021 American Chemical Society

    Abstract

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    Electrospun nylon 6,6 fibers incorporating polypyrrole (PPy) molecular-imprinted polymers (MIPs) were produced for the selective detection of d-glucose using a thermal detection methodology. PPy MIPs were produced using a facile bulk synthesis approach and electrospun into intricate fibrous scaffolds giving a highly mass-producible sensing interface. The maximum incorporation of MIPs and greatest sensing performance was found to be 12.1 wt % in conjunction with the heat-transfer method (HTM), a low-cost and simple thermal detection method that measures changes in the thermal resistance at the solid–liquid interface. It is demonstrated that a 12.1% incorporation of MIPs into electrospun fibers produces the widest working linear range with a limit of detection of 0.10 ± 0.01 mM. There were no observed changes in the measured thermal resistance response to incubation with a series of structurally similar compounds, providing evidence toward the selectivity of the platform. Additionally, the sensing platform exhibited a linear working response to glucose samples in artificial sweat solutions in the biologically relevant range. This is the first report of the incorporation of MIPs into nylon 6,6 fibers for the detection of glucose and points toward the possibility of developing mass-producible electrospun fibers embedded with low-cost recognition elements of improved thermal and chemical stability for the application of wearable sensor technology.

    Copyright © 2021 American Chemical Society

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    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.analchem.1c02472.

    • A short overview of various approaches reported toward the detection of glucose in sweat (Table S1); and SEM image of the PPy MIP powder formed at 40 and 5 k magnification (Figure S1) (PDF)

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    Analytical Chemistry

    Cite this: Anal. Chem. 2021, 93, 39, 13235–13241
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acs.analchem.1c02472
    Published September 22, 2021
    Copyright © 2021 American Chemical Society

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