Smart Insulin Leak Detector

Tech ID: 33231 / UC Case 2022-892-0

Images

Schematic illustration

Full Description

Background

Globally, over one million people use insulin pumps to manage diabetes. These devices provide many benefits compared to the alternative treatment of multiple daily injections. However, pumps have one notable weakness: the infusion sites that interface a pump with a patient are prone to failure. Leaks are a common mode of failure and, if left undetected, can cause acute and potentially life-threatening complications. Pump users currently rely on their senses to identify/detect leaks, but this can be difficult as infusion sites are often covered by clothing or are on the back side of the body. Moreover, a leak of only a few drops is enough to create a significant problem.

Technology

A team of researchers from UCR, Notre Dame and Indiana University have developed a novel, intelligent insulin leak detection system. The invention utilizes new wearable, nano-enabled, electronic nose (e-nose) sensor technology to detect leaks based on chemical vapors released by exogenous insulin when exposed to air. The system does not require contact with the leak and can detect leaks both at the infusion site and elsewhere within the pump and/or tubing. The system will immediately notify and alert the patient and/or caregiver when a leak is detected.

Advantages

  • A practical and convenient solution of insulin leak detection.
  • Low-profile wearable e-nose, chemical sensor can be placed near the infusion site.
  • Can be used as stand-alone or integrated into infusion sets/pumps.
  • Immediately alerts and notifies patient and/or caregiver of leaks via their smart device.
  • Seamless integration with current diabetes management tools.

Suggested uses

Automatic and immediate insulin leak detection for diabetes patients

State Of Development

The team has developed an initial proof-of-concept prototype. Experiments have demonstrated a robust detection of small insulin leaks.

The team is actively seeking collaboration partners to further develop the platform with an aim towards commercialization.

Patent Status

Country Type Number Dated Case
Patent Cooperation Treaty Published Application WO 2024/050128 03/07/2024 2022-892
 

Additional Patent Pending

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Other Information

Keywords

insulin, diabetes, infusion set, leak detection, phenols

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