New system aims to detect percentage of recycled plastic in plastic products
Researchers at the University of Buffalo have developed a new system to detect the percentage of recycled plastic in plastic products. The system combines several scientific tests with artificial intelligence to differentiate recycled plastic from new plastic, aiming to help companies and regulatory agencies monitor plastic recycling.
Researchers have created a method to verify recycled plastic content in products. The method uses four sensing techniques: triboelectric testing, dielectric/impedance spectroscopy, capacitance analysis, and mid-infrared spectroscopy. These tests are combined with machine learning to recognize patterns in the data. The system was tested on PET samples and was over 97% effective in determining the percentage of recycled content. The goal is to create a portable device for real-time monitoring of recycled plastics. The research was funded by the New York State Center for Plastics Recycling Research and Innovation.
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