| Issue |
E3S Web Conf.
Volume 648, 2025
International Conference on Civil, Environmental and Applied Sciences (ICCEAS 2025)
|
|
|---|---|---|
| Article Number | 03015 | |
| Number of page(s) | 6 | |
| Section | Applied Sciences | |
| DOI | https://doi.org/10.1051/e3sconf/202564803015 | |
| Published online | 08 September 2025 | |
Mordant-Free Dyeing of Organic Cotton Using Tea Extracts: Waste-to-Color
1 State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan 430200, China.
2 Department of Chemistry, Faculty of Science, University of Chittagong, Chittagong 4331, People’s Republic of Bangladesh.
3 Ivory V. Nelson Center for the Sciences, Department of Chemistry and Physics, Lincoln University, 1570 Baltimore Pike, Pennsylvania 19352, The United States of America.
* Corresponding authors: K. Wei (wke@wtu.edu.cn) and S. Mahmud (smahmud@lincoln.edu)
The valorization of green tea waste as a sustainable natural dye for organic cotton fabrics offers a promising alternative to synthetic dyes, mitigating environmental and health risks. We developed a mordant-free, ultrasonic-assisted dyeing protocol that maximizes dye uptake and fastness while minimizing energy consumption. Systematic optimization revealed 55 °C as the ideal dyeing temperature, achieving superior color strength (K/S = 1.445) and excellent wash and rub fastness without compromising fiber integrity. Mechanistic insights from physicochemical analyses demonstrated enhanced polyphenol–cellulose interactions facilitated by ultrasonic cavitation. This eco-friendly approach promotes circular bioresource utilization and advances green textile coloration.
Key words: Mordant-free dyeing / Organic cotton / Waste-to-Color / Green tea dyes / Ultrasonic-assisted dyeing
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

