This innovative solution leverages AI-driven nanomaterials to restore optical quality in recycled PET and HDPE, addressing limitations of current recycling methods. It combines chemical modification, nanoparticle design, and advanced optical characterization to enhance packaging applications.
This project introduces an advanced solution for improving the optical quality of recycled polyethylene terephthalate (PET) and high-density polyethylene (HDPE), which are commonly used in high-value packaging. The persistent gray cast in recycled plastics limits their widespread adoption. The proposed approach combines artificial intelligence with chemical modification and nanoparticle additives to restore the visual appeal and functionality of these materials. This method targets the root causes of optical degradation, offering a scalable and efficient solution for the packaging industry.
The solution features a multi-faceted approach:
Key Benefits:
Currently at Technology Readiness Level 6, this project has moved beyond laboratory validation and is transitioning to pilot-scale testing. The structured execution plan ensures efficient scalability and integration into existing manufacturing processes.
Hampton University is a mid‑sized private, historically Black university in coastal Virginia that combines research activity with strong professional preparation. Industry collaborators engage co‑located clinical capabilities through a campus‑based proton therapy institute and applied laboratories that support prototyping, testing, and validation. The campus sits within the Hampton Roads innovation corridor, offering proximity to major federal research laboratories, shipbuilding and port operations, and a dense network of aerospace and defense contractors for internships, joint development, and rapid piloting. Research is supported by competitive federal funding, including awards from agencies such as NSF, NIH, DoD, and NASA. A dedicated technology transfer office provides IP management, industry contracting, and startup support.