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Hybrid Printing for the Fabrication of Smart Sensors
Published on: January 31, 2019
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3D Printing Assisted Wearable and Implantable Biosensors.
Somnath Maji1, Myounggyu Kwak2, Reetesh Kumar3
1Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA.
Biosensors
|September 26, 2025
Summary
3D printing revolutionizes biosensor manufacturing, enabling scalable, customized, and complex designs for wearable and implantable health monitoring devices. This additive manufacturing approach enhances sensitivity and integration for personalized, proactive healthcare solutions.
Area of Science:
- Biomedical Engineering
- Materials Science
- Nanotechnology
Background:
- Biosensors are advancing towards sophisticated wearable and implantable devices for real-time health monitoring.
- Traditional manufacturing methods struggle with scalability, cost, and complexity for miniaturized, multifunctional biosensors.
Purpose of the Study:
- To explore the role of 3D printing (additive manufacturing) in overcoming limitations of traditional biosensor fabrication.
- To review advancements in 3D-printed flexible, stretchable, and biocompatible biosensors using novel materials.
Main Methods:
- Review of additive manufacturing techniques for biosensor fabrication.
- Integration of advanced materials (conductive polymers, nanocomposites, hydrogels) in 3D-printed biosensors.
- Exploration of innovations like biodegradable substrates and multi-material printing.
Main Results:
- 3D printing enables rapid prototyping, customization, and precise fabrication of intricate biosensor geometries.
- 3D-printed biosensors demonstrate enhanced sensitivity, durability, and biocompatibility.
- Applications span continuous glucose monitoring, neural interfaces, and point-of-care diagnostics.
Conclusions:
- 3D printing is pivotal in advancing wearable and implantable biosensor technology.
- The convergence with nanotechnology and smart diagnostics promises personalized, proactive healthcare.
- Additive manufacturing offers scalable solutions for clinical and remote real-time health management.
