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.

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
刚刚
1秒前
lxt关注了科研通微信公众号
1秒前
利姆露关注了科研通微信公众号
1秒前
2秒前
小c发布了新的文献求助10
3秒前
lyqs215发布了新的文献求助10
3秒前
滴滴发布了新的文献求助30
4秒前
txinlanc完成签到,获得积分10
4秒前
科研通AI6.4的应助被lbh采纳,获得10
5秒前
阿诺完成签到,获得积分20
5秒前
5秒前
5秒前
ding的应助被儒雅的猪八蛋采纳,获得10
6秒前
SU发布了新的文献求助10
6秒前
7秒前
完美世界的应助被Jckf采纳,获得10
7秒前
7秒前
9秒前
初景的应助被阿诺采纳,获得20
9秒前
lyqs215完成签到,获得积分10
10秒前
txinlanc发布了新的文献求助10
10秒前
烟花的应助被科研通管家采纳,获得10
10秒前
10秒前
领导范儿的应助被科研通管家采纳,获得10
10秒前
Owen的应助被科研通管家采纳,获得10
10秒前
英姑的应助被科研通管家采纳,获得10
11秒前
乐空思的应助被科研通管家采纳,获得10
11秒前
乐空思的应助被科研通管家采纳,获得10
11秒前
乐空思的应助被科研通管家采纳,获得30
11秒前
田様的应助被科研通管家采纳,获得10
11秒前
Lucas的应助被科研通管家采纳,获得10
11秒前
哈哈鱼的应助被科研通管家采纳,获得10
11秒前
天天快乐的应助被科研通管家采纳,获得10
11秒前
12秒前
12秒前
领导范儿的应助被科研通管家采纳,获得10
12秒前
12秒前
吉祥完成签到,获得积分20
13秒前
fffyy发布了新的文献求助20
13秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Organizational Behavior 510
Arbitrage Theory in Discrete and Continuous Time 500
Production Logging: Theoretical and Interpretive Elements 400
English Longitudinal Study of Ageing: Waves 0-11, 1998-2024 300
2026-2030年中國基因檢測行業市場前瞻與未來投資戰略分析報告 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 化学工程 内科学 物理 生物化学 复合材料 催化作用 细胞生物学 人工智能 心理学 无机化学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 7825490
求助须知:如何正确求助?哪些是违规求助? 9351903
关于积分的说明 20564060
捐赠科研通 7418931
什么是DOI,文献DOI怎么找? 3334815
关于科研通互助平台的介绍 2480139
邀请新用户注册赠送积分活动 2355318