Journal
ANALYTICAL CHEMISTRY
Volume 93, Issue 39, Pages 13235-13241Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.1c02472
Keywords
-
Categories
Ask authors/readers for more resources
Electrospun nylon 6,6 fibers incorporating polypyrrole (PPy) molecular-imprinted polymers (MIPs) were produced for selective detection of D-glucose using a thermal detection methodology. The maximum incorporation of MIPs was found to be 12.1 wt %, demonstrating a linear working response to glucose samples in artificial sweat solutions.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available