Bifunctional Flexible Eutectogel: Zinc Cell Dendrite Inhibition and Machine Learning-Assisted Parkinson's Disease...

Area of Science:

• Materials Science
• Electrochemistry
• Polymer Chemistry

Background:

• Flexible gel materials are crucial for advanced sensors and energy storage.
• Traditional hydrogels lack stability, limiting their applications.
• Deep eutectic solvents (DES) offer superior thermal and chemical stability compared to water-based systems.

Purpose of the Study:

• To prepare stable eutectogels with excellent electrochemical and sensing properties.
• To investigate the use of these eutectogels in zinc-symmetric batteries and as sensors.
• To address dendrite growth in zinc batteries and enable real-time disease monitoring.

Main Methods:

• Synthesized eutectogels using acrylic acid (AA) and acrylamide (AM) monomers in DES.
• Evaluated electrochemical performance in zinc-symmetric batteries.
• Assessed sensing properties, including gauge factor (GF).
• Utilized machine learning (ML) for disease monitoring applications.

Main Results:

• Eutectogels guided zinc ion deposition, inhibiting dendrite growth and enabling 800 h of stable battery operation.
• Achieved sensitive sensing properties with a gauge factor (GF) of 3.7.
• Demonstrated excellent low dissipation performance (5.18 kJ m⁻³).
• Successfully applied eutectogels as sensors for Parkinson's disease monitoring using ML.

Conclusions:

• Eutectogels provide a stable and flexible alternative to traditional hydrogels for energy storage and sensing.
• The developed material enhances zinc battery safety by suppressing dendrite formation.
• This work offers a novel approach for integrated flexible sensors and high-safety energy storage systems.