Paper
13 March 2015 Short wave infrared hyperspectral imaging for recovered post-consumer single and mixed polymers characterization
Author Affiliations +
Proceedings Volume 9403, Image Sensors and Imaging Systems 2015; 94030R (2015) https://doi.org/10.1117/12.2081362
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
Postconsumer plastics from packing and packaging represent about the 60% of the total plastic wastes (i.e. 23 million of tons) produced in Europe. The EU Directive (2014/12/EC) fixes as target that the 60%, by weight, of packaging waste has to be recovered, or thermally valorized. When recovered, the same directive established that packaging waste has to be recycled in a percentage ranging between 55% (minimum) and 60% (maximum). The non-respect of these rules can produce that large quantities of end-of-life plastic products, specifically those utilized for packaging, are disposed-off, with a strong environmental impact. The application of recycling strategies, finalized to polymer recovery, can represent an opportunity to reduce: i) not renewable raw materials (i.e. oil) utilization, ii) carbon dioxide emissions and iii) amount of plastic waste disposed-off. Aim of this work was to perform a full characterization of different end-of-life polymers based products, constituted not only by single polymers but also of mixtures, in order to realize their identification for quality control and/or certification assessment. The study was specifically addressed to characterize the different recovered products as resulting from a recycling plant where classical processing flow-sheets, based on milling, classification and separation, are applied. To reach this goal, an innovative sensing technique, based on the utilization of a HyperSpectral[b] I[/b]maging (HSI) device working in the SWIR region (1000-2500 nm), was investigated. Following this strategy, single polymers and/or mixed polymers recovered were correctly recognized. The main advantage of the proposed approach is linked to the possibility to perform “on-line” analyses, that is directly on the different material flow streams, as resulting from processing, without any physical sampling and classical laboratory “off-line” determination.
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Giuseppe Bonifazi, Roberta Palmieri, and Silvia Serranti "Short wave infrared hyperspectral imaging for recovered post-consumer single and mixed polymers characterization", Proc. SPIE 9403, Image Sensors and Imaging Systems 2015, 94030R (13 March 2015); https://doi.org/10.1117/12.2081362
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Cited by 7 scholarly publications.
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KEYWORDS
Polymers

Polymethylmethacrylate

Hyperspectral imaging

Data modeling

Cell phones

Principal component analysis

Short wave infrared radiation

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