Recycling of Waste Cotton Textile Containing Elastane Fibers through Dissolution and Regeneration

材料科学 溶剂 溶解 织物 纤维素 极限抗拉强度 生物降解 化学工程 复合材料 制浆造纸工业 废物管理 化学 有机化学 工程类
作者
Luxuan Wang,Shuting Huang,Yixiang Wang
出处
期刊:Membranes [Multidisciplinary Digital Publishing Institute]
卷期号:12 (4): 355-355 被引量:13
标识
DOI:10.3390/membranes12040355
摘要

Increasing utilization of textiles has raised concern regarding the environmental impact brought by the textile manufacturing process and disposal of waste textiles. In our previous work, the dissolution of cotton waste through different solvent systems was demonstrated. Herein, this study aimed to further investigate the recycling of waste cotton-elastane fabrics using H2SO4, NaOH/urea, and LiCl/DMAc solvent systems. The structure of regenerated films was characterized with Fourier transform infrared spectroscopy and scanning electron microscopy, and the properties of the regenerated films, including transparency, mechanical properties, water vapor permeability, and thermal stability, were investigated. The results revealed that all solvent systems could convert the waste cotton-elastane fabrics into regenerated films with the existence of different forms of elastane components. The elastane fibers were partially hydrolyzed in H2SO4 solvent and reduced the transparency of regenerated films, but they were well retained in NaOH/urea solvent and interrupted the structure of regenerated cellulose films. It is worth noting that the elastane fibers were completely dissolved in LiCl/DMAc solvent and formed a composite structure with cellulose, leading to obviously improved tensile strength (from 51.00 to 121.63 MPa) and water barrier property (from 3.50 × 10-7 to 1.03 × 10-7 g m-1 h-1 Pa-1). Therefore, this work demonstrates the possibility to directly recycle waste cotton-elastane fabrics through dissolution and regeneration, and the resultant films have potential applications as packaging materials.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
张睿完成签到,获得积分10
1秒前
小蜜蜂123完成签到,获得积分10
1秒前
JamesPei应助hhhh777采纳,获得10
1秒前
科研通AI6.4应助露桥闻笛采纳,获得10
1秒前
科研通AI6.2应助oo采纳,获得10
1秒前
2秒前
在水一方应助HDHHG采纳,获得10
2秒前
GYT完成签到 ,获得积分10
2秒前
neil发布了新的文献求助10
2秒前
mmuoo发布了新的文献求助10
3秒前
研友_nPb9e8完成签到,获得积分10
3秒前
桐桐应助精明纸鹤采纳,获得10
3秒前
Doctor.TANG完成签到 ,获得积分10
3秒前
4秒前
4秒前
情怀应助什么都不懂采纳,获得10
6秒前
6秒前
6秒前
123完成签到,获得积分10
7秒前
HOXXXiii完成签到,获得积分10
7秒前
刘蛋完成签到,获得积分10
7秒前
Dokey完成签到,获得积分10
7秒前
追寻的凌珍完成签到,获得积分20
8秒前
8秒前
8秒前
9秒前
精明纸鹤完成签到,获得积分10
9秒前
正直的的白羊完成签到 ,获得积分10
10秒前
10秒前
orixero应助xiaoxiao采纳,获得10
11秒前
Evelyn完成签到,获得积分10
11秒前
CodeCraft应助帅气西牛采纳,获得10
11秒前
李健应助帅气西牛采纳,获得10
12秒前
12秒前
12秒前
飘逸蜡烛发布了新的文献求助10
13秒前
13秒前
13秒前
高贵的捕完成签到 ,获得积分10
13秒前
leecopper001发布了新的文献求助10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Effective Clinical Neurologist 3ed 500
The Great Hymn to Šamaš 500
Moody's Ratings Rising AI spending narrows the gap, but US hyperscalers retain edge over Chinese peers 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7695603
求助须知:如何正确求助?哪些是违规求助? 9256102
关于积分的说明 20000825
捐赠科研通 7270082
什么是DOI,文献DOI怎么找? 3292521
关于科研通互助平台的介绍 2448209
邀请新用户注册赠送积分活动 2298160