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Multifunctional Dopamine-Based Hydrogel Microneedle Electrode for Continuous Ketone Sensing.

Irfani Rahmi Ausri1,2, Sadegh Sadeghzadeh1,2, Subhamoy Biswas1,2

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Summary

A novel hydrogel microneedle device enables continuous ketone monitoring for type 1 diabetes management. This wearable technology uses dopamine chemistry to track ketone levels, aiding in diabetic ketoacidosis prevention.

Keywords:
catechol–quinone redox mediatorselectrochemistryhydrogel microneedlesinterstitial fluidwearable biosensors

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Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Analytical Chemistry

Background:

  • Diabetic ketoacidosis (DKA) is a severe complication of type 1 diabetes (T1D), necessitating continuous monitoring of ketone bodies.
  • Current ketone monitoring methods can be invasive or infrequent, posing challenges for effective DKA management.

Purpose of the Study:

  • To develop a skin-compatible hydrogel microneedle (HMN) device for continuous ketone monitoring (HMN-CKM).
  • To leverage dopamine's unique chemistry for sensitive and reliable ketone detection.

Main Methods:

  • Fabrication of a hydrogel microneedle patch with covalently linked dopamine molecules.
  • Utilizing dopamine's catechol-quinone chemistry as a redox mediator for detecting 3-beta-hydroxybutyrate (β-HB) oxidation byproducts.
  • Implementing a universal pre-oxidation and detection strategy for β-HB quantification.
  • Employing a machine learning model to analyze real-time data and account for time delays.

Main Results:

  • The HMN-CKM device demonstrated a reliable sensing mechanism based on dopamine chemistry.
  • A method for correlating sensor response to β-HB concentrations was established.
  • Real-time tracking of decreasing ketone levels in a type 1 diabetes rat model was achieved.
  • The system successfully integrated continuous monitoring with a predictive machine learning model.

Conclusions:

  • The developed HMN-CKM device offers a promising non-invasive approach for continuous ketone monitoring in T1D.
  • This technology has the potential to improve DKA prevention and management strategies.
  • The integration of material science, electrochemistry, and machine learning provides a robust platform for wearable biosensing.