论文信息 - Identification and Classification of Plastic Resins using Near Infrared Reflectance Spectroscopy

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. Keywords—Identification, Near Infrared, Plastic, Separation, Spectroscopy

[1] D. Wienke,et al. On-Line Post Consumer Package Identification by NIR Spectroscopy Combined with a FuzzyARTMAP Classifier in an Industrial Environment , 1997 .

[2] M. Carvalho,et al. Application of fluidization to separate packaging waste plastics. , 2009, Waste management.

[3] Firas Awaja,et al. Recycling of PET , 2005 .

[4] V. J. Segui,et al. The influence of polyethylene in the mechanical recycling of polyethylene terephtalate , 2008 .

[5] M. Tabrizchi,et al. Sorting of polypropylene resins by color in MSW using visible reflectance spectroscopy. , 2010, Waste management.

[6] James W. Robinson,et al. Undergraduate Instrumental Analysis , 2023 .

[7] Abdul-Rahman Al-Ali,et al. Automatic multistage classification system for plastic bottles recycling , 2007 .

[8] Weixiang Wu,et al. Source separation of household waste: a case study in China. , 2008, Waste management.

[9] D M Scott,et al. A two-colour near-infrared sensor for sorting recycled plastic waste , 1995 .

[10] E. Smidt,et al. Classification of waste materials using Fourier transform infrared spectroscopy and soft independent modeling of class analogy. , 2008, Waste management.