Autonomous, In-Situ Fugitive Microplastic Detector and Datalogger

In-place resurfacing of asphalt-based wear layers is an increasingly common method of roadway rehabilitation. With the addition of waste microplastics to bitumen binders as performance improvers, the grinding of asphalt during in-place resurfacing potentially brings microplastic particulate pollution to every community in the US. In addition, the wear of roadway surfaces is a known major source of particulate runoff, with theinclusion of microplastics potentially adding a new dimension of ecotoxicity to the pavement life cycle. We propose an in-situ, compact, continuous monitor of airborne fugitive and first-flush stormwater-suspended particles, using proven, molecularly-specific vibrational analysis techniques, to quantitate and identify road wear particles by composition, plastic content, and particle size.It may be implemented to monitor water or air without modification, such that aerosol monitoring and aqueous runoff monitoring can be performed with a single instrument. The proposed technology retains a continuous record of the sample in the form of particles bound on a roll filter archive, and is supported by both prior results on the topic, and Optowares’ experience in bringing advanced machine-learning enabled spectroscopy instruments to difficult-to-solve problems.