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Related Concept Videos

Equipments Used to Measure Body Temperature01:13

Equipments Used to Measure Body Temperature

946
Body temperature can be assessed using various devices and measured in Celsius or Fahrenheit.
Glass-bulb Thermometer:
Glass-bulb thermometers are hollow glass tubes with a bulb tip containing liquid such as ethanol or mercury. Historically, glass bulb mercury thermometers were the standard device to measure body temperature. Today, mercury thermometers are prohibited in many countries due to the hazardous effects of mercury and the risk of exposure if the glass bulb breaks. In general,...
946

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Thermoelectric Conversion Eutectogels for Highly Sensitive Self-Powered Sensors and Machine Learning-Assisted

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  • 1School of Chemistry and Materials Science, Ludong University, Yantai 264025, China.

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|March 6, 2025
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Summary

Researchers developed flexible, self-powering thermoelectric gels using ionic liquids and polymerizable deep eutectic solvents. These advanced eutectogels offer improved performance for self-powered temperature sensing applications.

Keywords:
eutectogelsmachine learningself-powersensorsthermoelectric conversion

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Energy Harvesting

Background:

  • Flexible sensors require self-powering capabilities for practical applications.
  • Existing thermoelectric gels face challenges with flexibility, signal distortion, and overall performance.

Purpose of the Study:

  • To design and synthesize novel eutectogels with enhanced thermoelectric properties and mechanical flexibility.
  • To develop self-powered temperature sensors utilizing these advanced eutectogels.

Main Methods:

  • Eutectogels were prepared using an ionic liquid and a polymerizable deep eutectic solvent (PDES).
  • Thermoelectric conversion and response performance were evaluated, including the Seebeck coefficient.
  • Gel units were assembled into arrays to create temperature sensors.
  • Machine learning (K-means clustering) was employed to improve signal consistency and noise reduction.

Main Results:

  • The synthesized eutectogels demonstrated good mechanical properties and adhesion.
  • A high Seebeck coefficient (Si) of 30.38 mV K⁻¹ was achieved at a 10 K temperature difference.
  • The developed temperature sensors showed improved signal consistency and noise filtering.
  • Accurate absolute temperature prediction was achieved under varying temperature differences.

Conclusions:

  • The novel eutectogels offer a promising solution for flexible, self-powered thermoelectric sensing.
  • The integration of machine learning enhances the reliability and accuracy of these sensors.
  • This work paves the way for advanced applications in thermoelectric self-powered sensing.