Donghua University’s Innovative Intelligent Fiber
In April, researchers at Donghua University's School of Materials Science and Engineering developed a groundbreaking intelligent fiber that facilitates human-computer interaction without relying on batteries. This fiber incorporates wireless energy harvesting, information sensing, and transmission capabilities into a three-layer sheath-core structure. Utilizing cost-effective materials such as silver-plated nylon fiber, BaTiO3 composite resin, and ZnS composite resin, the fiber can display luminescence and respond to touch controls. Its affordability, technological maturity, and potential for mass production make it a promising addition to the field of smart materials.
Tsinghua University’s Intelligent Perception Material
On April 17th, Professor Yingying Zhang's team from Tsinghua University's Department of Chemistry unveiled a new intelligent sensing textile in a Nature Communications paper titled “Intelligent Perceived Materials Based on Ionic Conductive and Strong Silk Fibers.” The team created a silk-based ionic hydrogel (SIH) fiber with superior mechanical and electrical properties. This textile can rapidly detect external hazards like fire, water immersion, and sharp object contact, offering protection to both humans and robots. Additionally, it can recognize and precisely locate human touch, serving as a flexible interface for wearable human-computer interaction.
University of Chicago’s Living Bioelectronics Innovation
On May 30th, Professor Bozhi Tian from the University of Chicago published a significant study in Science introducing a "live bioelectronics" prototype. This device integrates living cells, gel, and electronics to seamlessly interact with living tissue. Comprising a sensor, bacterial cells, and a starch-gelatin gel, the patch has been tested on mice and shown to continuously monitor skin conditions and alleviate psoriasis-like symptoms without irritation. Beyond psoriasis treatment, this technology holds promise for diabetic wound healing, potentially accelerating recovery and improving patient outcomes.
Post time: Dec-07-2024
