Quantum cascade laser-based reflectance spectroscopy: a robust approach for the classification of plastic type

Optics Express
Anna P M MichelHelen K White

Abstract

The identification of plastic type is important for environmental applications ranging from recycling to understanding the fate of plastics in marine, atmospheric, and terrestrial environments. Infrared reflectance spectroscopy is a powerful approach for plastics identification, requiring only optical access to a sample. The use of visible and near-infrared wavelengths for plastics identification are limiting as dark colored plastics absorb at these wavelengths, producing no reflectance spectra. The use of mid-infrared wavelengths instead enables dark plastics to be identified. Here we demonstrate the capability to utilize a pulsed, widely-tunable (5.59 - 7.41 µm) mid-infrared quantum cascade laser, as the source for reflectance spectroscopy, for the rapid and robust identification of plastics. Through the application of linear discriminant analysis to the resulting spectral data set, we demonstrate that we can correctly classify five plastic types: polyethylene terephthalate (PET), high density polyethylene (HDPE), low density polyethylene (LDPE), polypropylene (PP), and polystyrene (PS), with a 97% accuracy rate.

References

Nov 9, 2007·Journal of Environmental Science and Health. Part A, Toxic/hazardous Substances & Environmental Engineering·Mohammed A Gondal, Mohammad N Siddiqui
May 29, 2010·The Journal of Physical Chemistry. B·Maxime Boulet-AudetMichel Pézolet
Jun 13, 2014·Optics Express·Toby K BoysonCharles C Harb
Jul 30, 2014·Biomedical Optics Express·Sabbir LiakatClaire F Gmachl
Mar 23, 2017·Analytical and Bioanalytical Chemistry·K M Muhammed ShameemC Santhosh

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