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Hybrid Printing for the Fabrication of Smart Sensors
Published on: January 31, 2019
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Fabrication of a Flexible Amperometric Glucose Sensor Using Additive Processes
Xiaosong Du1, Christopher J Durgan1, David J Matthews2
1School of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, Oregon 97331, USA.
Summary
Researchers developed a novel amperometric glucose sensor using additive manufacturing. This printable glucose sensor demonstrates high accuracy and can be integrated into medical devices, potentially reducing costs.
Area of Science:
- Materials Science
- Biomedical Engineering
- Analytical Chemistry
Background:
- Amperometric glucose sensors are crucial for diabetes management.
- Current fabrication methods can be costly and complex.
- Need for flexible and cost-effective glucose sensing technologies.
Purpose of the Study:
- To fabricate a novel amperometric glucose sensor using additive manufacturing techniques.
- To evaluate the performance and applicability of the fabricated sensor.
- To explore the potential for cost reduction and integration into medical devices.
Main Methods:
- Fabrication of a glucose sensor on a gold-coated polyimide substrate.
- Utilized micro-contact printing, electrochemical plating, chloridization, electrohydrodynamic jet (e-jet) printing, and spin coating.
- Optimized permselective layer thickness for enhanced selectivity and sensitivity.
Main Results:
- Electrohydrodynamic jet (e-jet) printing successfully deposited active glucose oxidase inks with precise patterning.
- Achieved a linear response for glucose concentrations up to 32 mM.
- Demonstrated no response to acetaminophen, indicating high selectivity.
- The sensor's thin polyimide substrate allowed for integration with a high radius of curvature (~250 μm).
Conclusions:
- Additive manufacturing, specifically e-jet printing, offers a viable method for fabricating active amperometric glucose sensors.
- The developed sensor exhibits excellent sensitivity, selectivity, and flexibility.
- This approach holds promise for cost-effective production and integration into wearable or implantable devices.

