(Invited) Triboelectricity Based Self-Powered Sensing Towards Ecological Protection and Health Monitoring

Abstract

In recent years, the necessity for the evolution of effective research approaches to develop self-powered sensing networks has gained significant attention in view of their importance as the element of Internet of Things (IoTs) in the present scenario of global energy crisis and ecological dilemma. In these circumstances, triboelectric nanogenerators (TENGs) manifest remarkable potentiality and versatility in the eco-friendly approaches of self-powered sensing, considering their appreciable sensitivity to the environmental and applied conditions. By harvesting wasted energy, the triboelectricity based self-powered sensing networks exhibit promising prospect to be applicable in ecological protection and smart health monitoring by rapid detection of chronic diseases, as an effective step towards the wellbeing of human health and environment synchronically. In this talk, I will represent novel mechanisms for implementing the TENGs based on nano/micro-structured tribo-materials comprising polymer/semiconducting metal oxide composites and problematic waste materials into self-powered ultra-broadband photodetection, toxic gas sensing and early detection of chronic disease for the human health and environmental safety. This novel method for the instantaneous response of the triboelectric signals to the biomarker for specific disease provides a prospective framework for painless, rapid, very cost-efficient, and eco-friendly disease detection, which is anticipated to be widely preferred as more advantageous than some traditional methods owing to the convenience of both the patients and medical professionals. Additionally, the approach of reusing the problematic waste materials in these TENG devices presents an effective step towards the circular economy, in light of the environmental pillar of ESG (Environmental, Social & Governance).