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End-of-Life Textile Recognition in a Circular Economy Perspective: A Methodological Approach Based on Near Infrared Spectroscopy

Author

Listed:
  • Giuseppe Bonifazi

    (Department of Chemical Engineering, Materials and Environment, Sapienza-University of Rome, Via Eudossiana 18, 00184 Rome, Italy
    Research Center for Biophotonics, Sapienza-University of Rome, Polo Pontino, Corso della Repubblica 79, 04100 Latina, Italy)

  • Riccardo Gasbarrone

    (Department of Chemical Engineering, Materials and Environment, Sapienza-University of Rome, Via Eudossiana 18, 00184 Rome, Italy)

  • Roberta Palmieri

    (Department of Chemical Engineering, Materials and Environment, Sapienza-University of Rome, Via Eudossiana 18, 00184 Rome, Italy)

  • Silvia Serranti

    (Department of Chemical Engineering, Materials and Environment, Sapienza-University of Rome, Via Eudossiana 18, 00184 Rome, Italy
    Research Center for Biophotonics, Sapienza-University of Rome, Polo Pontino, Corso della Repubblica 79, 04100 Latina, Italy)

Abstract

The life cycle of textiles (i.e., fabrics and apparel products) generates many environmental impacts, such as resource consumption, water, soil, and air pollution through the dispersion of chemical substances and greenhouse gases. For these reasons, in 2019, textiles were identified as a “priority product category for the circular economy” by the European Commission that proposed a new circular economy action plan focusing on recycling. An in-depth characterization of textile fabrics could lead to an ad hoc recycling procedure, reducing resource consumption and chemicals utilization. In this work, NIR (1000–1650 nm) spectroscopy was applied to extract information regarding fabric composition, with reference to cotton, silk, viscose, and some of their blends, using two different devices: a hyperspectral imaging (HSI) platform and a portable spectroradiometer. The different fabrics were correctly classified based on their spectral features by both detection instruments. The proposed methodological approach can be applied for quality control in the textile recycling sector at industrial and/or laboratory scale thanks to the easiness of use and the speed of detection.

Suggested Citation

  • Giuseppe Bonifazi & Riccardo Gasbarrone & Roberta Palmieri & Silvia Serranti, 2022. "End-of-Life Textile Recognition in a Circular Economy Perspective: A Methodological Approach Based on Near Infrared Spectroscopy," Sustainability, MDPI, vol. 14(16), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10249-:d:891138
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    References listed on IDEAS

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    1. Krishnendu Saha & Prasanta Kumar Dey & Eleni Papagiannaki, 2021. "Implementing circular economy in the textile and clothing industry," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 1497-1530, May.
    2. Xiufen Xie & Yan Hong & Xianyi Zeng & Xiaoqun Dai & Melissa Wagner, 2021. "A Systematic Literature Review for the Recycling and Reuse of Wasted Clothing," Sustainability, MDPI, vol. 13(24), pages 1-20, December.
    3. Paulien Harmsen & Michiel Scheffer & Harriette Bos, 2021. "Textiles for Circular Fashion: The Logic behind Recycling Options," Sustainability, MDPI, vol. 13(17), pages 1-17, August.
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    Cited by:

    1. Ehsan Faghih & Zahra Saki & Marguerite Moore, 2025. "A Systematic Literature Review—AI-Enabled Textile Waste Sorting," Sustainability, MDPI, vol. 17(10), pages 1-27, May.

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