Interpenetrating network based polymeric sensors with enhanced specificity, sensitivity, and reusability

可重用性 材料科学 聚二甲基硅氧烷 聚合物 肿胀 的 丙酮 化学工程 纳米技术 复合材料 有机化学 化学 计算机科学 工程类 程序设计语言 软件
作者
Ozge Batir,Erhan Bat,Emre Büküşoğlu
出处
期刊:Sensors and Actuators B-chemical [Elsevier]
卷期号:367: 132172-132172 被引量:4
标识
DOI:10.1016/j.snb.2022.132172
摘要

Cholesteric liquid crystals (CLCs) are widely used as optical sensors against volatile organic compounds (VOCs), whose sensitivity can be increased with the help of strain. However, the specificity and reusability of these structures should be increased to achieve their successful integration into useful applications. For this purpose, we developed an interpenetrating polymeric network (IPN) based on poly(RM257) structure of CLC-templated polymeric films and polydimethylsiloxane (PDMS). Contrary to the generic CLC-hosted IPN sensors that use CLC structures to optically report the changes in the polymeric matrix, we employed the collaborative responsiveness of the constituents of the IPN (both CLC-templated and penetrated polymeric structures) to improve the sensor performance. The elastic swelling of PDMS structure increased the durability and reusability of the poly(RM257) polymeric sensor upon exposure to even high VOC vapor concentrations up to their saturation. The sensor tests of both poly(RM257) and IPN films were carried out against four different VOC vapors namely toluene, hexane, acetone, ethanol and also water vapor. The results showed that the synergistic swelling of PDMS and poly(RM257) polymeric structures against vapors directly affected the sensor performance in terms of earned specificity and enhanced sensitivity. Moreover, the real-time experiments showed that the measurement accuracy, response, and recovery time of the polymeric sensors were also improved significantly by the development of IPN as compared to their non-IPN counterparts. This study shows a promise towards further engineering of sensors against various applications through detailed design of the constituent polymers against targeted species.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
lalala应助ding采纳,获得10
刚刚
qq完成签到,获得积分10
刚刚
1秒前
嗷呜嗷呜发布了新的文献求助10
2秒前
cindy1226发布了新的文献求助10
3秒前
3秒前
3秒前
chili完成签到,获得积分10
3秒前
CodeCraft应助犬狗狗采纳,获得10
3秒前
小螺号完成签到 ,获得积分10
4秒前
科研通AI2S应助云宝采纳,获得10
4秒前
5秒前
飘逸访文应助DueR采纳,获得10
5秒前
丘比特应助brightjoe采纳,获得10
5秒前
万能图书馆应助京昭采纳,获得10
6秒前
6秒前
儒雅沛凝发布了新的文献求助10
6秒前
7秒前
7秒前
7秒前
wenquan应助Viva采纳,获得30
7秒前
幸运星发布了新的文献求助10
7秒前
内向茉莉完成签到,获得积分10
8秒前
BCY发布了新的文献求助10
8秒前
小蘑菇应助叮咚jingle采纳,获得10
8秒前
8秒前
锂炸完成签到,获得积分10
9秒前
欢呼妙菱发布了新的文献求助10
11秒前
11秒前
11秒前
lalala应助Loik采纳,获得10
12秒前
Devon完成签到,获得积分10
12秒前
王小美完成签到 ,获得积分10
12秒前
香蕉觅云应助科研通管家采纳,获得10
14秒前
14秒前
无花果应助科研通管家采纳,获得10
14秒前
科研通AI2S应助科研通管家采纳,获得10
14秒前
华仔应助科研通管家采纳,获得10
14秒前
今后应助科研通管家采纳,获得10
14秒前
高分求助中
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger Heßler, Claudia, Rud 1000
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 1000
Natural History of Mantodea 螳螂的自然史 1000
A Photographic Guide to Mantis of China 常见螳螂野外识别手册 800
Autoregulatory progressive resistance exercise: linear versus a velocity-based flexible model 500
Spatial Political Economy: Uneven Development and the Production of Nature in Chile 400
Insecta 2. Blattodea, Mantodea, Isoptera, Grylloblattodea, Phasmatodea, Dermaptera and Embioptera 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 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 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3328514
求助须知:如何正确求助?哪些是违规求助? 2958523
关于积分的说明 8590790
捐赠科研通 2636774
什么是DOI,文献DOI怎么找? 1443196
科研通“疑难数据库(出版商)”最低求助积分说明 668574
邀请新用户注册赠送积分活动 655842