Identification and Classification of Plastic Resins using Near Infrared Reflectance Spectroscopy

In this paper, an automated system is presented for identification and separation of plastic resins based on near infrared (NIR) reflectance spectroscopy. For identification and separation among resins, a "Two-Filter" identification method is proposed that is capable to distinguish among polyethylene terephthalate (PET), high density polyethylene (HDPE), polyvinyl chloride (PVC), polypropylene (PP) and polystyrene (PS). Through surveying effects of parameters such as surface contamination, sample thickness, label and cap existence, it was obvious that the "Two-Filter" method has a high efficiency in identification of resins. It is shown that accurate identification and separation of five major resins can be obtained through calculating the relative reflectance at two wavelengths in the NIR region.




References:
[1] Zhuang, Y., Wu, S.W., Wang, Y.L., Wu, W.X., Chen Y.X., "Source
separation of household waste: A case study in China" Waste
Management 28, 2008, pp. 2022-2030.
[2] Carvalho, M.T., Ferreira, C., Portela, A., Santos, J.T., "Application of
fluidization to separate packaging waste plastics" Waste Management
29, 2009, pp. 1138-1143.
[3] Awaja, F., Pavel, D., "Recycling of PET. European Polymer Journal 41,
2005.
[4] Navarro, R., Ferrándiz, S., López, J., Seguí, V.J., "The influence of
polyethylene in the mechanical recycling of polyethylene terephtalate"
Journal of Materials Processing Technology 195, 2008, pp. 110-116.
[5] Scheirs, J., Polymer Recycling, Wiley Publication, 1998.
[6] Enick, R., "The microsortation of post-consumer thermoplastics using
near critical liquids" proc. Globec 96, Davos, Switzerland, 1996, pp.
18-25.
[7] Safavi, S.M., Masoumi, H., Mirian, S.S., Tabrizchi, M., "Sorting of
polypropylene resins by color in MSW using visible reflectance
spectroscopy" Waste Management 30, 2010, pp. 2216-2222.
[8] Tachwali, Y., Al-Assaf, Y., Al-Ali, A.R., "Automatic multistage
classification system for plastic bottles recycling" Resources,
Conservation and Recycling 52, 2007, pp. 266-285.
[9] Scott, D.M., "A two-color near-infrared sensor for sorting recycled
plastic waste" Measurement Science and Technology 6, 1995, pp. 156-
159.
[10] Sommer, E. J., "Methods and technologies for post-consumer plastic
identification and sortation" Proc. SPE 3rd Annual Recycling Conf.,
Chicago, IL, Nov., 1996, pp. 299-304.
[11] Inculet, I., "Electrostatic separation of mixed plastic waste" Proc. Davos
92 Recycle, 1992.
[12] American Plastics Council,. "Best Practices in PET Recycling,
Automated Sorting Systems" NAPCOR, 1997.
[13] Edward, J., Sommer, J. R., "Method and Apparatus for Near Infrared
Sorting of Recycled Plastic Waste" Patent, United States, Pub. No.: US
2001/0045518 A1, 2001.
[14] Robinson, J.W., Undergraduate Instrumental Analysis, sixth ed. M.
Dekker Publication, 2005.
[15] Smidt, E., Meissl, K., Schwanninger, M., Lechner, P., "Classification of
waste materials using Fourier transform infrared spectroscopy and soft
independent modeling of class analogy" Waste Management 28, 2008,
pp. 1699-1710.
[16] Optical Components and Assemblies, Optical Filters,
http://www.cvilaser.com, 2009.
[17] Feldhoff, R., Wienke, D., Cammann, K., Fuchs, H., "On-line post
consumer package identification by NIR spectroscopy combined with a
FuzzyARTMAP classifier in an industrial environment" Applied
Spectroscopy 51, 1997, 362-368.