Stumbling through the Research Wilderness, Standard Methods to Shine Light on Electrically Conductive Nanocomposites for Future Health-Care Monitoring.

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ID: 67268
2019
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Abstract
Electrically conductive nanocomposites are an exciting ever-expanding area of research that has yielded many versatile technologies for wearable health devices. Acting as strain sensing materials, real-time medical diagnostic tools based on these materials may very well lead to a golden age of healthcare. Currently, the goal in research is to create a material that simultaneously has both a large gauge factor (G) and sensing range. However, a weakness in the area of electromechanical research is the lack of standardisation in the reporting of the figure of merit (i.e. G) and the need for other intrinsic metrics to give researchers a more complete view of the research landscape of resistive-type sensors. A paradigm shift in the way in which data is reported is required, to push research in the right direction and to facilitate achieving research goals. Here, we report a standardised method for reporting strain-sensing performance and the introduction of the working factor (W) and the Young's modulus (Y) of a material as figures of merit for sensing materials. Using this standard method, we can define the benchmarks for an optimum sensing material (G > 7, W > 1, Y < 300 kPa) using limits set by standard commercial materials and the human body. Using extrapolated data from 200 publications normalised to this standard method, we can review what composite-types meet these benchmark limits, what governs composite performances, the literary trends in composites and individual nanomaterial performance and the future prospects of research.
Reference Key
boland2019stumblingacs Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Boland, Conor S;
Journal acs nano
Year 2019
DOI
10.1021/acsnano.9b06847
URL
Keywords
resin composite fracture toughness dental glass fiber r-curve restorative materials

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