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Updated: Jul 18, 2025

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Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets
Published on: November 7, 2016
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3D-Printed Graphene Nanoplatelets/Polymer Foams for Low/Medium-Pressure Sensors
Marco Fortunato1,2, Luca Pacitto1, Nicola Pesce1,2
1Department of Astronautical, Electrical and Energy Engineering (DIAEE), Sapienza University of Rome, 00184 Rome, Italy.
Sensors (Basel, Switzerland)
|August 26, 2023
Summary
Researchers developed highly sensitive flexible pressure sensors using 3D printed foams coated with graphene nanoplatelets (GNPs). The optimized grid-structure sensors show excellent performance for wearable health monitoring applications.
Area of Science:
- Materials Science
- Nanotechnology
- Biomedical Engineering
Background:
- Growing demand for wearable devices in health monitoring and motion detection.
- Need for novel, cost-effective, and highly sensitive flexible sensors.
Purpose of the Study:
- To develop innovative piezoresistive pressure sensors using 3D printed porous flexible foams.
- To investigate the effect of foam structure and graphene nanoplatelet (GNP) concentration on sensor performance.
Main Methods:
- Fabrication of grid and triply periodic minimal surface foams via 3D printing and polymer infiltration.
- Coating foam pores with graphene nanoplatelets (GNPs) at varying concentrations.
- Morphological analysis using field emission scanning electron microscopy (FE-SEM).
- Mechanical and piezoresistive characterization through quasi-static uniaxial compression tests.
Main Results:
- Optimized grid-based foam sensors using Solaris polymer exhibited superior sensitivity.
- Achieved maximum sensitivity of 0.088 kPa⁻¹ below 10 kPa, increasing to 0.24 kPa⁻¹ at 80 kPa.
- Successfully demonstrated sensor application in measuring heartbeats within the 10-20 kPa range.
Conclusions:
- 3D printed porous foams offer a promising platform for developing sensitive flexible piezoresistive pressure sensors.
- The developed sensors are suitable for wearable health monitoring, particularly for detecting physiological signals like heartbeats.

