Researchers at the University of Waterloo in Ontario have developed a smart fabric that has potential for use in energy-harvesting, health-monitoring and movement-tracking applications.
The new fabric can convert body heat and solar energy into electricity, potentially enabling continuous operation with no need for an external power source. Different sensors monitoring temperature, stress and more can be integrated into the material. One promising potential application is smart face masks that can track breath temperature and rate and detect chemicals in breath to help identify viruses, lung cancer and other conditions.
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‘We have developed a fabric material with multifunctional sensing capabilities and self-powering potential,’ said Yuning Li, a professor in the Department of Chemical Engineering. ‘This innovation brings us closer to practical applications for smart fabrics.’
The novel fabric is more stable, durable and cost-effective than other smart fabrics.
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The research, conducted in collaboration with Professor Chaoxia Wang and PhD student Jun Peng from the College of Textile Science and Engineering at Jiangnan University, showcases the potential of integrating advanced materials such as MXene and conductive polymers with cutting-edge textile technologies to advance smart fabrics for wearable technology.
Li, director of Waterloo’s Printable Electronic Materials Lab, highlighted the significance of this advancement, which is the latest in the university’s suite of technologies disrupting health boundaries.
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‘AI technology is evolving rapidly, offering sophisticated signal analysis for health monitoring, food and pharmaceutical storage, environmental monitoring, and more. However, this progress relies on extensive data collection, which conventional sensors, often bulky, heavy and costly, cannot meet,’ Li said. ‘Printed sensors, including those embedded in smart fabrics, are ideal for continuous data collection and monitoring. This new smart fabric is a step forward in making these applications practical.’
The next phase of research will focus on further enhancing the fabric’s performance and integrating it with electronic components in collaboration with electrical and computer engineers. Future developments may include a smartphone app to track and transmit data from the fabric to healthcare professionals, enabling real-time, non-invasive health monitoring and everyday use.
The research has been published in the Journal of Materials Science & Technology.