Abstract
Highlights Highly sensitive and selective standoff mid-IR system for plastic recognition. Promising solution for characterizing plastic wastes accurately. Established database of IR spectra for different plastics. Achieving 100% classification accuracy with machine learning. Identifies plastics with additives, contaminants, and black pigmentation.
Cite
CITATION STYLE
APA
Zhao, Y., Chakraborty, P., Meng, Z., Nair, A., Goyal, A., & Thundat, T. (2023). Molecular Characterization of Plastic Waste Using Standoff Photothermal Spectroscopy. ECS Sensors Plus, 2(4). https://doi.org/10.1149/2754-2726/acfb92
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