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Clinic-on-a-Needle Array toward Future Minimally Invasive Wearable Artificial Pancreas Applications.
Omri Heifler1, Ella Borberg2, Nimrod Harpak2
1Department of Materials Science and Engineering, the Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv 69978, Israel.
ACS Nano
|June 22, 2021
Summary
This study presents a novel wearable device for continuous glucose monitoring and insulin delivery. The system uses a microneedle-based nanosensor array for accurate diabetes management.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Materials Science
Background:
- Diabetes management requires reliable glucose monitoring and insulin delivery.
- Current systems face limitations in sensor reliability and component integration.
- Advanced closed-loop artificial pancreas systems are needed for autonomous diabetes care.
Purpose of the Study:
- To develop a minimally invasive, transdermal, multiplex continuous metabolite monitoring system.
- To integrate sensing and drug delivery functions onto a single wearable platform.
- To create a cost-effective and reliable personalized clinical tool for diabetes management.
Main Methods:
- Utilized a chemically modified silicon nanowire field-effect transistor (SiNW-FET) nanosensor array on microneedle elements.
- Developed a 2D architecture on a single SOI substrate for 3D functionality.
- Integrated microinjection needle elements for potential drug delivery.
Main Results:
- Demonstrated direct, continuous monitoring of subcutaneous interstitial fluid (ISF) metabolites without extraction.
- Achieved selective multimetabolite sensing, unaffected by common interferents.
- Successfully performed in vivo continuous glucose monitoring in human subjects.
- Showcased single-chip glucose monitoring and insulin delivery in a mice model.
Conclusions:
- The developed platform offers a versatile and reliable approach for continuous glucose monitoring.
- The integrated sensing and delivery system holds promise for future artificial pancreas applications.
- This multifunctional platform can serve as a valuable tool for personalized diabetes management and research.

