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Tactile and Chemical Senses01:27

Tactile and Chemical Senses

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Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex.
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Chemically functionalized cellulose triboelectret nanogenerator for machine-learning-enabled tactile sensing.

Sunidhi Mishra1, Dalip Saini2, Sudip Naskar2

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A novel triboelectret nanogenerator (E-TENG) utilizes cellulose for enhanced stability and power. This self-powered device offers long-term charge retention for advanced wearable and biomedical applications.

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Energy Harvesting

Background:

  • Self-powered energy harvesting is crucial for biomedical devices, sensors, and wearables.
  • Triboelectric nanogenerators (TENGs) offer high efficiency but suffer from poor long-term stability due to charge annihilation.

Purpose of the Study:

  • To introduce a new triboelectret nanogenerator (E-TENG) that combines triboelectric and electret properties.
  • To address the charge retention and long-term stability issues in traditional TENGs.
  • To develop a stable, high-performance energy harvesting device using sustainable cellulosic materials.

Main Methods:

  • Developed an E-TENG using cellulosic materials for both triboelectric active layers.
  • Functionalized cellulose nanofibers with nitro groups (tribo-negative) and stearoyl groups (tribo-positive).
  • Created a hydrophobic aerogel structure in the tribo-positive layer to enhance charge retention.

Main Results:

  • The E-TENG demonstrated superior performance over traditional cellulose-based TENGs, achieving a maximum power density of 6.8 W m⁻².
  • Long-term durability testing confirmed stable electrical output over 90 days.
  • The device successfully monitored biomechanical signals and performed tactile sensing with 98.6% accuracy in finger touch prediction via machine learning.

Conclusions:

  • The developed E-TENG effectively overcomes charge annihilation issues, offering enhanced stability and charge retention.
  • Cellulose-based E-TENGs represent a promising platform for scalable, sustainable electronics.
  • The technology has significant potential for applications in gesture recognition, human-machine interfaces, robotics, healthcare, and consumer electronics.