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Bio-inspired patterned networks (BIPS) for development of wearable/ disposable biosensors
SPIE Commercial + Scientific Sensing and Imaging, 2016 (2016)
  • E. S. McLamore, University of Florida
  • M. Convertino, University of Minnesota, Twin Cities
  • John Hondred, Iowa State University
  • Suprem Das, Iowa State University
  • Jonathan C. Claussen, Iowa State University
  • Carmen L. Gomes, Texas A&M University
Here we demonstrate a novel approach for fabricating point of care (POC) wearable electrochemical biosensors
based on 3D patterning of bionanocomposite networks. To create Bio-Inspired Patterned network (BIPS) electrodes, we first generate fractal network in silico models that optimize transport of network fluxes according to an energy function. Network patterns are then inkjet printed onto flexible substrate using conductive graphene ink. We then deposit fractal nanometal structures onto the graphene to create a 3D nanocomposite network. Finally, we biofunctionalize the surface with biorecognition agents using covalent bonding. In this paper, BIPS are used to
develop high efficiency, low cost biosensors for measuring glucose as a proof of concept. Our results on the
fundamental performance of BIPS sensors show that the biomimetic nanostructures significantly enhance biosensor sensitivity, accuracy, response time, limit of detection, and hysteresis compared to conventional POC non fractal electrodes (serpentine, interdigitated, and screen printed electrodes). BIPs, in particular Apollonian patterned BIPS, represent a new generation of POC biosensors based on nanoscale and microscale fractal networks that significantly improve electrical connectivity, leading to enhanced sensor performance.
Publication Date
Baltimore, MD
Copyright 2016 Society of Photographic Instrumentation Engineers
Citation Information
E. S. McLamore, M. Convertino, John Hondred, Suprem Das, et al.. "Bio-inspired patterned networks (BIPS) for development of wearable/ disposable biosensors" SPIE Commercial + Scientific Sensing and Imaging, 2016 (2016)
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