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Generating power from transdermal extracts using a multi-electrode miniature enzymatic fuel cell.

Hendrik du Toit1, Razleen Rashidi1, Dominic W Ferdani2

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This study presents a novel enzymatic fuel cell (EFC) device for powering wearable biodevices using physiological fluids. The compact EFC system successfully generated power from transdermal extracts, demonstrating potential for health monitoring applications.

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Enzymatic fuel cellGlucose oxidaseHighly porous goldLaccaseReverse iontophoresis

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Area of Science:

  • Biomedical Engineering
  • Electrochemistry
  • Wearable Technology

Background:

  • Self-powered wearable biodevices are crucial for continuous health monitoring and drug delivery.
  • Enzymatic fuel cells (EFCs) offer a promising power source due to their ability to utilize physiological fluids and operate at body temperature.

Purpose of the Study:

  • To develop and demonstrate a compact, multi-EFC device for generating power from physiological fluids.
  • To investigate power generation from iontophoresis extracts using a novel EFC cascade system.

Main Methods:

  • A cascade of three EFCs was integrated into a single-channel device with highly-porous gold electrodes.
  • Glucose oxidase and laccase were immobilized on the anode and cathode, respectively, without external mediators.
  • Power output was measured in flow-through and batch modes using varying glucose concentrations and transdermal extracts.

Main Results:

  • The EFC cascade generated peak power outputs of 0.7 µW (flow-through) and 0.4 µW (batch) at 27 mM glucose when connected in parallel.
  • The device demonstrated power generation from pig skin iontophoresis extracts, albeit at a lower average peak power of 0.004 µW due to significantly lower glucose concentrations (30 μM).

Conclusions:

  • The developed EFC device shows potential as a self-powered source for wearable biodevices, capable of operating with physiological fluids.
  • The system's design is compact, utilizes non-toxic materials, and can be further miniaturized, paving the way for practical applications in health monitoring.