Academic Journal
Comprehensive Assessment of the Chemical Footprint of Yarn Dyed Fabric
| العنوان: | Comprehensive Assessment of the Chemical Footprint of Yarn Dyed Fabric |
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| المؤلفون: | Guo, Yiqi, Zhu, Ziyuan, Dong, Xueyu, Qiu, Xiaoxiao, Wang, Laili, Ke, Ying, Li, Yi |
| المساهمون: | Social Sciences Research of the Ministry of Education of China, Open Project Program of Key Laboratory of Eco-textiles, Ministry of Education, Jiangnan University, natural science foundation of zhejiang province, zhejiang sci-tech university |
| المصدر: | AATCC Journal of Research ; volume 9, issue 3, page 127-133 ; ISSN 2472-3444 2330-5517 |
| بيانات النشر: | SAGE Publications |
| سنة النشر: | 2022 |
| الوصف: | The production of colorful yarn dyed fabrics consumes a lot of dyes, auxiliaries, and water. It generates a plethora of chemical pollutants and will cause potential environmental problems. Defining the chemical footprint can transform the environmental risk caused by human activities into an intuitive form of toxicity measurement. Based on the chemical footprint methodology, this article calculated and evaluated the chemical footprints of a kind of yarn dyed fabric with the USEtox model. The results revealed that sodium hydroxide caused the most severe human toxicity, and di(hydrogenated tallow) alkyl dimethyl ammonium chloride caused the most severe ecotoxicity. The comprehensive evaluation of human toxicity and ecotoxicity with life cycle assessment polygon method showed that the preshrinking process had the largest environmental load. Selecting environmentally friendly softeners in the preshrinking process can alleviate the environmental impacts caused by the production of yarn dyed fabrics. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1177/24723444221084392 |
| الاتاحة: | https://doi.org/10.1177/24723444221084392 https://journals.sagepub.com/doi/pdf/10.1177/24723444221084392 https://journals.sagepub.com/doi/full-xml/10.1177/24723444221084392 |
| Rights: | https://journals.sagepub.com/page/policies/text-and-data-mining-license |
| رقم الانضمام: | edsbas.44D27022 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1177/24723444221084392 |
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