The wearable body sensors are becoming the latest technology around the world. The scientist from American Chemical Society stated that they are using one of the world’s most coveted fabrics to develop a more sensitive as well as flexible generation of these multi-purpose devices. These devices can be used to monitor a slew of body functions in real time.
Yingying Zhang said, “There is a whole world of possibilities for silk sensors at the moment. Silk is the ideal material for fabricating sensors that are worn on the body”. Further, she said, “One possibility we foresee is for them to be used as an integrated wireless system that would allow doctors to more easily monitor patients remotely so that they can respond to their medical needs more rapidly than ever before”.
Semiconductors are used to form body sensors. Body sensors have great potential for monitoring human health, but they have certain restrictions. To overcome these restrictions, Silk is the perfect option as it is stronger than steel and flexible than nylon. Zhang and his colleagues at Tsinghua University in China wanted to find a way to increase the conductivity of silk so it could be used in body-sensing devices.
The experts planned to perform two different procedures, in the first method they consider the silk in an idle gas condition through temperatures extending from 1,112 degrees to 5,432 degrees Fahrenheit, so the silk progressed toward becoming mixed with N-doped carbon with some graphitized particles. With the help of this technique, a scientist has come up with the pressure sensors, a dual-mode sensor, strain sensors. The another approach fed carbon nanotubes to silkworms, where some nanoparticles were naturally merged into the silk produced by the worms. The experts are still operating with this method.
Yingying Zhang wishes to create an integrated set of silk-based, self-sustaining sensors determined by nanogenerators. She stated that the silk sensors might be used to build more realistic robots that can sense touch as well as can even differentiate people’s voices.