Textronic Sensors of Hazardous Gaseous Substances

丙酮 危险废物 材料科学 甲苯 织物 石墨 制浆造纸工业 复合材料 废物管理 化学 有机化学 工程类
作者
Ewa Skrzetuska,Paulina Szablewska,Zuzanna Błaszkowska,Hubert Ciszek,Olga Kowalczyk,Michał Olecki
出处
期刊:Materials [Multidisciplinary Digital Publishing Institute]
卷期号:18 (2): 341-341
标识
DOI:10.3390/ma18020341
摘要

Toxic materials are a threat in workplaces and the environment, as well as households. In them, gaseous substances are included, especially ones without any colour or fragrance, due to their non-detectability with the human senses. In this article, an attempt was made to find a solution for its detection in various conditions with the use of intelligent textiles. The approach was to perform modification on fifteen materials by screen printing using carbon nanotubes paste with expanded graphite and embroidery with stainless steel thread and then investigate their reaction with risky gases such as acetone, methanol and toluene. Four combinations of samples were tested: before tests, after the washing test and after the alkaline and acidic sweat contact test. Three materials can be highlighted. Para-aramid knitwear which reacted well to all tested gases. The biggest value of sensory percentage response was 144%. Screen-printed linen knitwear showed properly detecting skills after washing test for toluene. The biggest value of sensory percentage response was noted at 186%. The third most promising material was low surface mass cotton knitwear with embroidery which had a visible response at every stage of testing for acetone. The biggest value of sensory percentage response was 94% and the smallest one was 27%. For these three materials, repeated contact with harmful gases was tested. Simulations showed also repeated responses expressed in changes in surface resistance under changed conditions. After analysis, there is a possibility to create textile sensors for the detection of hazardous substances.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
爆米花应助科研通管家采纳,获得10
刚刚
大模型应助科研通管家采纳,获得10
刚刚
1秒前
桐桐应助科研通管家采纳,获得10
1秒前
爆米花应助科研通管家采纳,获得10
1秒前
葫芦娃发布了新的文献求助10
1秒前
sunrise发布了新的文献求助10
2秒前
shuangma发布了新的文献求助10
3秒前
4秒前
Oh发布了新的文献求助10
4秒前
5秒前
6秒前
哈哈哈哈发布了新的文献求助10
6秒前
8秒前
Heng发布了新的文献求助10
8秒前
科研奇男子完成签到,获得积分10
9秒前
9秒前
10秒前
XFF发布了新的文献求助10
11秒前
单薄店员发布了新的文献求助10
11秒前
小雪糕发布了新的文献求助10
12秒前
tian发布了新的文献求助20
14秒前
17秒前
Jason完成签到,获得积分10
18秒前
19秒前
Kiki发布了新的文献求助50
19秒前
21秒前
22秒前
共享精神应助菠萝派采纳,获得10
22秒前
叶枫完成签到,获得积分10
25秒前
无能的狂怒2号完成签到,获得积分10
26秒前
彩色映雁发布了新的文献求助10
26秒前
啊哭发布了新的文献求助10
27秒前
Oh发布了新的文献求助10
31秒前
ll发布了新的文献求助10
32秒前
32秒前
认真的可冥完成签到,获得积分10
32秒前
无能的狂怒完成签到,获得积分10
34秒前
shu完成签到 ,获得积分10
34秒前
高分求助中
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
A new approach to the extrapolation of accelerated life test data 1000
Problems of point-blast theory 400
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
Novel Preparation of Chitin Nanocrystals by H2SO4 and H3PO4 Hydrolysis Followed by High-Pressure Water Jet Treatments 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3999175
求助须知:如何正确求助?哪些是违规求助? 3538547
关于积分的说明 11274517
捐赠科研通 3277430
什么是DOI,文献DOI怎么找? 1807585
邀请新用户注册赠送积分活动 883948
科研通“疑难数据库(出版商)”最低求助积分说明 810080