A Mini‐Patch Magnetic Insulin Pump for Enhanced Delivery Resolution and Accuracy

Insulin pumps typically use piston-based mechanisms with bulky transmission components to convert rotary motion into the piston's forward motion. These mechanical transmission systems and insulin reservoirs occupy more than one-third of pumps' volume, significantly limiting miniaturization and making pumps cumbersome for daily use. Herein, a compact, magnetically actuated insulin pump is developed that is less than one-quarter the size of piston-based pumps. Instead of bulky mechanical components, the pump uses a magnetic soft actuator to directly compress the insulin chamber, controlled by a precisely tuned electromagnetic field. This innovative design eliminates the need for large transmission systems, enabling a notably smaller form factor. In addition, the fine-tunable magnetic actuation enables a 0.01 μL delivery resolution, significantly surpassing the 0.25 μL resolution of piston-based pumps. This high-resolution mechanism facilitates further miniaturization by allowing the use of high-concentration insulins, thereby reducing the reservoir size. By varying the magnetic field's waveform, amplitude, and duration, the pump's performance can be further enhanced. The reported magnetic insulin pump exhibits superior repeatability and accuracy across single-pulse, basal, and bolus modes compared to commercial insulin pumps. This miniaturized, high-resolution magnetic insulin pump is anticipated to substantially benefit people with diabetes by improving portability, precision, and cost efficiency.

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Institutions

Publication Details

Journal
Advanced Intelligent Systems
Published
2025-08-15
DOI
https://doi.org/10.1002/aisy.202500459
Citations
1
Primary Topic
Pancreatic function and diabetes
Type
article
Field-Weighted Citation Impact
2.01

Funders

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article

A Mini‐Patch Magnetic Insulin Pump for Enhanced Delivery Resolution and Accuracy

Rayhan Lal, Yilong Chang, Jize Dai, Ruike Renee Zhao et al.
1 citations
Advanced Intelligent Systems
Pancreatic function and diabetes
2.01
article

A Mini‐Patch Magnetic Insulin Pump for Enhanced Delivery Resolution and Accuracy

Rayhan Lal, Yilong Chang, Jize Dai, Ruike Renee Zhao, Qiji Ze, Shuhao Huang
article en
1 citations

Abstract

Insulin pumps typically use piston-based mechanisms with bulky transmission components to convert rotary motion into the piston's forward motion. These mechanical transmission systems and insulin reservoirs occupy more than one-third of pumps' volume, significantly limiting miniaturization and making pumps cumbersome for daily use. Herein, a compact, magnetically actuated insulin pump is developed that is less than one-quarter the size of piston-based pumps. Instead of bulky mechanical components, the pump uses a magnetic soft actuator to directly compress the insulin chamber, controlled by a precisely tuned electromagnetic field. This innovative design eliminates the need for large transmission systems, enabling a notably smaller form factor. In addition, the fine-tunable magnetic actuation enables a 0.01 μL delivery resolution, significantly surpassing the 0.25 μL resolution of piston-based pumps. This high-resolution mechanism facilitates further miniaturization by allowing the use of high-concentration insulins, thereby reducing the reservoir size. By varying the magnetic field's waveform, amplitude, and duration, the pump's performance can be further enhanced. The reported magnetic insulin pump exhibits superior repeatability and accuracy across single-pulse, basal, and bolus modes compared to commercial insulin pumps. This miniaturized, high-resolution magnetic insulin pump is anticipated to substantially benefit people with diabetes by improving portability, precision, and cost efficiency.

Advanced Intelligent SystemsVol. 8(1)
Stanford Medicine (US), Stanford University (US)
National Science Foundation, Division of Civil, Mechanical and Manufacturing Innovation
Openalex Percentile: Top 12%
Pancreatic function and diabetes
2.01
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A Mini‐Patch Magnetic Insulin Pump for Enhanced Delivery Resolution and Accuracy — Rayhan Lal, Yilong Chang, et al. · Advanced Intelligent Systems (2025) | TGRS Research Map | TGRS