Eco-Ink Symbols on Neck Labels for Differentiating Sustainable and Chemical Ink in Clothing Recycling
Abstract
As concerns over textile waste and its environmental consequences grow, efficient garment recycling practices are becoming increasingly vital. One challenge in recycling is distinguishing between eco-friendly and chemical inks used in garment labels. This study proposes a practical solution by printing a simple eco-ink symbol directly onto the neck label of garments. The neck label is chosen for its durability and high visibility, ensuring the eco-ink symbol remains intact throughout the garment’s life cycle. This labeling method enables recyclers to easily identify and segregate garments printed with sustainable inks from those using chemical-based alternatives. By streamlining the identification process, this approach enhances recycling efficiency, reduces contamination in material streams, and supports the circular economy by promoting the reuse of textiles with minimal environmental impact. This paper explores the feasibility, advantages, and potential challenges of implementing this labeling system in garment recycling.
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References
Andini, E., Bhalode, P., Gantert, E., Sadula, S., & Vlachos, D. G. (2024). Chemical recycling of mixed textile waste. Science Advances, 10(27), eado6827.
Biyada, S., & Urbonavičius, J. (2025). Circularity in textile waste: challenges and pathways to sustainability. Cleaner Engineering and Technology, 100905.
Bonifazi, G., Gasbarrone, R., Palmieri, R., & Serranti, S. (2024). A characterization approach for end-of-life textile recovery based on short-wave infrared spectroscopy. Waste and Biomass Valorization, 15(3), 1725-1738. https://doi.org/10.1007/s12649-023-02413-z
Casciani, D., & Chen, M. (2023, November). Conveying Natural Dyes in the Fashion Industry Through a Design-Driven Innovation. In Global Fashion Conference (pp. 46-64). Cham: Springer Nature Switzerland.
Cura, K., Rintala, N., Kamppuri, T., Saarimäki, E., & Heikkilä, P. (2021). Textile recognition and sorting for recycling at an automated line using near infrared spectroscopy. Recycling, 6(1), 11. https://doi.org/10.3390/recycling6010011
Fiorilli, E. (2023). Sustainable textile processing: an in-depth analysis of environmental and workers well-being in the fashion industry. [Master thesis, Polytechnic University of Milan]. https://hdl.handle.net/10589/222538
Furferi, R., & Servi, M. (2023). A Machine Vision-Based Algorithm for Color Classification of Recycled Wool Fabrics. Applied Sciences, 13(4), 2464.
Gligoric, N., Krco, S., Hakola, L., Vehmas, K., De, S., Moessner, K., ... & Van Kranenburg, R. (2019). Smarttags: IoT product passport for circular economy based on printed sensors and unique item-level identifiers. Sensors, 19(3), 586.
Hassabo, A. G., Elmorsy, H. M., Gamal, N., Sediek, A., Saad, F., Hegazy, B. M., & Othman, H. (2023). Evaluation of various printing techniques for cotton fabrics. Journal of Textiles, Coloration and Polymer Science, 20(2), 243-253.
Hayta, P., Oktav, M., & Ateş Duru, Ö. (2022). An ecological approach to printing industry: Development of ecofriendly offset printing inks using vegetable oils and pine resin as renewable raw materials and evaluation of printability. Color Research & Application, 47(1), 164-171.
He, Y., Cao, Y., Hwang, H. J., Gutierrez, S. M. V., Li, S., Chen, H. L., ... & Malhotra, R. (2021). Inkjet printing and in-situ crystallization of biopigments for eco-friendly and energy-efficient fabric coloration. International Journal of Precision Engineering and Manufacturing-Green Technology, 1-13.
Huang, X., Tan, Y., Huang, J., Zhu, G., Yin, R., Tao, X., & Tian, X. (2024). Industrialization of open- and closed-loop waste textile recycling towards sustainability: A review. Journal of Cleaner Production, 436, 140676. https://doi.org/10.1016/j.jclepro.2024.140676
Ingle, N., & Jasper, W. J. (2024). A review of deep learning and artificial intelligence in dyeing, printing and finishing. Textile Research Journal, 00405175241268619.
Juanga-Labayen, J. P., Labayen, I. V., & Yuan, Q. (2022). A review on textile recycling practices and challenges. Textiles, 2(1), 174-188.
Kamble, Z., & Behera, B. K. (2021). Upcycling textile wastes: challenges and innovations. Textile Progress, 53(2), 65-122.
Li, Q., Xue, Z., Wu, Y., & Zeng, X. (2022). The status quo and prospect of sustainable development of smart clothing. Sustainability, 14(2), 990.
Li, W., Wei, Z., Liu, Z., Du, Y., Zheng, J., Wang, H., Zhang, S. (2021). Qualitative identification of waste textiles based on near-infrared spectroscopy and the back propagation artificial neural network. Textile Research Journal, 91(21–22), 2459-2467. https://doi.org/10.1177/00405175211007516
Luo, Y., Song, K., Ding, X., & Wu, X. (2021). Environmental sustainability of textiles and apparel: A review of evaluation methods. Environmental Impact Assessment Review, 86, 106497.
Manivannan, C., Panneerselvan, L., Nachimuthu, G., Conaty, M., & Palanisami, T. (2025). Eco-innovative approaches for recycling non-polyester/cotton blended textiles. Waste Management Bulletin, 3(1), 255-270. https://doi.org/10.1016/j.wmb.2025.02.001
Moazzem, S., Crossin, E., Daver, F., & Wang, L. (2021). Assessing environmental impact reduction opportunities through life cycle assessment of apparel products. Sustainable Production and Consumption, 28, 663-674. https://doi.org/10.1016/j.spc.2021.06.015
Okoye, K., & Hosseini, S. (2024). Analysis of variance (ANOVA) in R: one-way and two-way ANOVA. In R Programming: Statistical Data Analysis in Research (pp. 187-209). Singapore: Springer Nature Singapore.
Pittala, C., & Ganesh, K. (2022). IoT-aware waste management system based on cloud services and ultra-low-power RFID sensor-tags. In Innovations in Signal Processing and Embedded Systems: Proceedings of ICISPES 2021 (pp. 391-401). Singapore: Springer Nature Singapore.
Rahaman, M. T., Pranta, A. D., Repon, M. R., Ahmed, M. S., & Islam, T. (2024). Green production and consumption of textiles and apparel: Importance, fabrication, challenges and future prospects. Journal of Open Innovation: Technology, Market, and Complexity, 100280.
Rouder, J. N., Schnuerch, M., Haaf, J. M., & Morey, R. D. (2023). Principles of model specification in ANOVA designs. Computational Brain & Behavior, 6(1), 50-63.
Tian, R., Lv, Z., Fan, Y., Wang, T., Sun, M., & Xu, Z. (2024). Qualitative classification of waste garments for textile recycling based on machine vision and attention mechanisms. Waste Management, 183, 74-86.
Zhang, L., Leung, M. Y., Boriskina, S., & Tao, X. (2023). Advancing life cycle sustainability of textiles through technological innovations. Nature Sustainability, 6(3), 243-253.
Zhou, Q., Le, Q. V., Meng, L., Yang, H., Gu, H., Yang, Y., ... & Peng, W. (2022). Environmental perspectives of textile waste, environmental pollution and recycling. Environmental Technology Reviews, 11(1), 62-71.