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橡塑技术与装备(塑料)                            CHINA RUBBER/PLASTICS  TECHNOLOGY  AND EQUIPMENT (PLASTICS)

             [4]   Horodytska O,  Valdés F J, Fullana  A. Plastic flexible   Management. 2019, 88:170~181.
                 films waste management – A state of art review[J].  Waste   [14]  He X, He Z, Zhang S, et al. A novel vision-based PET bottle
                 Management. 2018, 77:413~425.                     recycling facility[J]. Measurement Science and Technology.
             [5]   Rozenstein O, Puckrin E, Adamowski J. Development of a   2016, 28(2):25601.
                 new approach based on midwave infrared spectroscopy for   [15]  Zheng Y, Bai J, Xu J, et al. A discrimination model in waste
                 post-consumer black plastic waste sorting in the recycling   plastics sorting using NIR hyperspectral imaging system[J].
                 industry[J]. Waste Management. 2017, 68:38~44.    Waste Management. 2018, 72:87~98.
             [6]   高开 .  多种废旧混合塑料颗粒的复合静电分选 [D].  上海交通          [16]  Vidal M, Gowen A, Amigo J M. NIR Hyperspectral Imaging
                 大学 , 2016.                                        for Plastics Classification[J]. NIR news. 2012, 23(1):13~15.
             [7]   Maio F D, Rem P, Hu B, et al.  The  W2Plastics   [17]  Mecozz i M, Pi etrole tti  M, Monakhova   Y  B. FT IR
                 Project:Exploring the Limits of Polymer Separation[J]. Open   spectroscopy supported by statistical techniques for the
                 Waste Management Journal. 2010, 3(1).             structural characterization of plastic debris in the marine
             [8]   闫磊,尹凤福,徐衍辉,等 . 磁流体密度梯度分选技术 (MDS)                environment:Application to monitoring studies[J]. Marine
                 在塑料分选中的应用 [J]. 现代化工 . 2018, 38(5):177~180.        Pollution Bulletin. 2016, 106(1):155~161.
             [9]   Zhao Y, Mishra P, Han F, et al. Surface micro-alcoholysis   [18]  尹凤福,闫磊,韩清新,等 .  近红外光谱(NIR)分选技术在
                 treatment:A novel approach towards froth flotation based   塑料分选领域的应用 [J]. 环境工程 . 2017, 35(12):134~138.
                 separation for binary mixtures of polyethylene terephthalate   [19]  Guzzonato A, Puype F, Harrad S J. Improving the accuracy
                 and polyvinyl chloride[J]. Journal of Cleaner Production.   of  hand-held  X-ray  fluorescence  spectrometers  as  a
                 2019, 232:848~857.                                tool for monitoring brominated flame retardants in waste
             [10]  Bouhamri N, Zelmat M E,  Tilmatine  A. Micronized   polymers[J]. Chemosphere. 2016, 159:89~95.
                 plastic waste recycling using two-disc tribo-electrostatic   [20]  刘可,邱春玲,田地,等 . 一种基于激光诱导击穿光谱的塑料
                 separation process[J]. Advanced Powder Technology. 2019,   分类方法 [J]. 光谱学与光谱分析 . 2017, 37(11):3 600~3 605.
                 30(3):625~631.                                [21]  Liu K, Tian D, Deng X, et al. Rapid classification of plastic
             [11]  Li J, Xu Z. Compound tribo-electrostatic separation for   bottles by laser-induced breakdown spectroscopy (LIBS)
                 recycling mixed plastic waste[J]. Journal of Hazardous   coupled with partial least squares discrimination analysis
                 Materials. 2019, 367:43~49.                       based on spectral windows (SW-PLS-DA)[J]. Journal of
             [12]  王鹏 .  基于近红外光谱的废旧塑料识别分类模型的建立 [D].                Analytical Atomic Spectrometry. 2019, 34(8):1 665~1 671.
                 天津大学 , 2016.                                  [22]  Junjuri R, Zhang C, Barman I, et al. Identification of
             [13]  Wang Z, Peng B, Huang Y, et al. Classification for plastic   post-consumer plastics using laser-induced breakdown
                 bottles recycling based on image recognition[J].  Waste   spectroscopy[J]. Polymer Testing. 2019, 76:101~108.



                 Research progress of identification and separation technology of
                                                   waste plastics

                                                      1
                                                                  1
                                            Liu Junfeng , Xu Zhongbin , Cao Jiapei 2
                      (1. College of Energy Engineering, Zhejiang University, Hangzhou 310027, Zhejiang, China;
                          2. Hangzhou Hi-tech Fine Chemical Co., Ltd., Hangzhou 311113, Zhejiang, China)

                 Abstract: Recycling of plastic products is very important for the construction of a resource-saving
             society. The separation of waste plastics is the key link of high-quality recycling of plastic products. This paper
             introduces the research progress of the identification and separation technology of waste plastics, such as
             density separation, flotation, electromagnetic separation and photoelectric separation, analyzes the existing
             problems in the identification and separation of waste plastics, and looks forward to the future research
             direction and industrial application.
                 Key words: waste plastics; recycling; separation; identification
                                                                                                        (R-03)








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