A Modular, 3D-Printed, and Cost-Effective Near-Infrared Spectrometer with Machine Learning for Commodity Plastic Identification
Efficient segregation of post-consumer plastics remains a critical challenge in achieving a sustainable circular economy because current sorting technologies are limited in cost, adaptability, and accessibility for community-level use. This study presents the development of a modular, cost-effective, and 3D-printed tra...