Electrically Conductive 3D-Printed Piezoresistive Metastructure Lattice Sensors

The growing demand for advanced, personalized wearable health monitoring technologies has driven the development of innovative fabrication methods for flexible electronics. Here, we present electrically conductive 3D-printed piezoresistive metastructure lattice sensors combining structural programmability with tunable electromechanical performance. Leveraging high-resolution stereolithography, metastructure lattices are fabricated with microscale precision, offering design freedom to orthogonally tune mechanical stiffness and deformation through microstructural design. Piezoresistive functionality is imparted via two complementary coating strategies─titanium carbide (TiC) ink dip coating and oxidative chemical vapor deposition (oCVD) of doped polypyrrole (PPy), representing contrasting wet and dry processing routes. These coatings yield distinct interfacial architectures and sensing mechanisms: microcrack-mediated piezoresistivity in TiC-coated lattices and continuous, positive piezoresistivity in conformal oCVD PPy coatings. Both versions achieved good gauge factors (12–13), broad detection ranges (up to 180 N), and excellent cyclic repeatability under both low (0.2 N) and high (90 N) cyclic compressive forces (<5% variation in output). The applicability of these sensors was demonstrated through real-time human gait monitoring with monolithically integrated shoe insoles, underscoring their potential in wearable technology. This study highlights the effectiveness of combining advanced manufacturing techniques with conductive coatings to develop mechanically robust and sensorized wearable devices for applications in healthcare and rehabilitation.

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Publication Details

Journal
ACS Applied Electronic Materials
Published
2025-12-31
DOI
https://doi.org/10.1021/acsaelm.5c02422
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
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article

Electrically Conductive 3D-Printed Piezoresistive Metastructure Lattice Sensors

Ranjita K. Bose, Sara Selenica, Srikanth Birudula, Adrivit Mukherjee et al.
ACS Applied Electronic Materials
Advanced Sensor and Energy Harvesting Materials
article

Electrically Conductive 3D-Printed Piezoresistive Metastructure Lattice Sensors

Ranjita K. Bose, Sara Selenica, Srikanth Birudula, Adrivit Mukherjee, Amar M. Kamat, Marleen Kamperman, Ajay Giri Prakash Kottapalli, Pranav Joseph Pulikkunnel
article en

Abstract

The growing demand for advanced, personalized wearable health monitoring technologies has driven the development of innovative fabrication methods for flexible electronics. Here, we present electrically conductive 3D-printed piezoresistive metastructure lattice sensors combining structural programmability with tunable electromechanical performance. Leveraging high-resolution stereolithography, metastructure lattices are fabricated with microscale precision, offering design freedom to orthogonally tune mechanical stiffness and deformation through microstructural design. Piezoresistive functionality is imparted via two complementary coating strategies─titanium carbide (TiC) ink dip coating and oxidative chemical vapor deposition (oCVD) of doped polypyrrole (PPy), representing contrasting wet and dry processing routes. These coatings yield distinct interfacial architectures and sensing mechanisms: microcrack-mediated piezoresistivity in TiC-coated lattices and continuous, positive piezoresistivity in conformal oCVD PPy coatings. Both versions achieved good gauge factors (12–13), broad detection ranges (up to 180 N), and excellent cyclic repeatability under both low (0.2 N) and high (90 N) cyclic compressive forces (<5% variation in output). The applicability of these sensors was demonstrated through real-time human gait monitoring with monolithically integrated shoe insoles, underscoring their potential in wearable technology. This study highlights the effectiveness of combining advanced manufacturing techniques with conductive coatings to develop mechanically robust and sensorized wearable devices for applications in healthcare and rehabilitation.

ACS Applied Electronic MaterialsVol. 8(1)
University of Groningen (NL)
Industry, innovation and infrastructure
Openalex Percentile: Top 41%
Advanced Sensor and Energy Harvesting Materials
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