Real-time detection of Asbestos in the field. This project will develop a new technique for reliable, real-time detection of Asbestos. Despite being banned for 30+ years asbestos remains an outstandin

Description

Real-time detection of Asbestos in the field. This project will develop a new technique for reliable, real-time detection of Asbestos. Despite being banned for 30+ years asbestos remains an outstanding health issue, with no reliable method for identification without samples needing to be sent to a lab for analysis. Utilising new optics and fluorescence detection techniques along with machine-learning analysis, we will develop and validate a portable device that can be used to detect asbestos in real-world scenarios where it may be encountered, such as within homes, workplaces, customs inspections, material and mulch recycling centres and mining operations. This has the potential for significant public health and economic benefits through reduced exposure to hazardous asbestos dust.. Scheme: Linkage Projects. Field: 4009 - Electronics, Sensors and Digital Hardware. Lead: Prof Nigel Spooner