中国塑料 ›› 2025, Vol. 39 ›› Issue (6): 73-83.DOI: 10.19491/j.issn.1001-9278.2025.06.014

• 塑料与环境 • 上一篇    下一篇

循环再利用聚酯的再生工艺、行业应用与鉴别特征

李泽杨1,2(), 刘曙1(), 严承琳1, 孙杰3, 唐磊3, 魏孟媛1   

  1. 1.上海海关工业品与原材料检测技术中心,上海 200135
    2.东华大学化学与化工学院,上海 201620
    3.上海理工大学材料与化学学院,上海 200093
  • 收稿日期:2024-06-24 出版日期:2025-06-26 发布日期:2025-06-20
  • 通讯作者: 刘曙,正高级工程师,从事商品检验与标准化研究,liu_shu@customs.gov.cn
    E-mail:2684176578@qq.com;liu_shu@customs.gov.cn
  • 作者简介:李泽杨,男,硕士生,从事快速鉴别回用材料研究,2684176578@qq.com
  • 基金资助:
    国家重点研发计划项目(2022YFF0607203)

Recycling processes, industrial applications, and identification characteristics of recycled polyester

LI Zeyang1,2(), LIU Shu1(), YAN Chenglin1, SUN Jie3, TANG Lei3, WEI Mengjuan1   

  1. 1.Technical Center for Industrial Product and Raw Material Inspection and Testing of Shanghai Customs District,Shanghai 200135,China
    2.Chemical Engineering and Biotechnology,Key Laboratory of Science and Technology of Eco?Textile,Ministry of Education,Donghua University,Shanghai 201620,China
    3.School of Materials and Chemistry,Institute of Bismuth and Rhenium,University of Shanghai for Science and Technology,Shanghai 200093,China
  • Received:2024-06-24 Online:2025-06-26 Published:2025-06-20
  • Contact: LIU Shu E-mail:2684176578@qq.com;liu_shu@customs.gov.cn

摘要:

综述了聚对苯二甲酸乙二醇酯(PET)废弃物的回收方法,包括物理法和化学法两类再生工艺,总结了循环再利用PET(rPET)在纺织、食品包装等领域的应用,展示了其在市场上的多层次适应性和潜力。概述了国内外PET和rPET在结构和性能上的差异,并概述了结合各种化学计量学手段和机器学习模型进行鉴别的方法。未来研究应关注降低化学法再生成本、开发更多高附加值产品以及建立快速可靠的鉴别方法。

关键词: 循环再利用, 聚对苯二甲酸乙二醇酯, 光谱, 再生工艺, 鉴别方法, 机器学习

Abstract:

This paper reviewed recycling methods for polyethylene terephthalate (PET) waste, covering both physical and chemical regeneration processes. The applications of recycled PET (rPET) in sectors such as textiles and food packaging were summarized, emphasizing its versatility across industries and significant market potential. The review also delineated structural and performance differences between PET and rPET, and elaborates on identification methods that leverage these distinctions through advanced chemometric techniques and machine learning models, as investigated in domestic and international research. Finally, future studies should prioritize cost reduction in chemical regeneration processes, development of higher⁃value⁃added rPET products, and the establishment of rapid, reliable identification protocols to enhance quality control and sustainability efforts.

Key words: recycled, polyethylene terephthalate, spectroscopy, regeneration processes, identification methods, machine learning

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