Suppr超能文献

基于含氟聚合物基体的压敏漆响应频率的振荡声波技术表征

Characterization of Response Frequency for the Pressure-Sensitive Paint Based on Fluorine-Containing Polymer Matrixes Using Oscillating Sound Wave Technique.

作者信息

Shao Yun, Chen Liusheng, Liao Qi, Jiang Heng, Liu Zhitian, Jin Xigao, Gao Limin

机构信息

Institute of Materials for Optoelectronics and New Energy, School of Material Science and Engineering, Wuhan Institude of Technology, Wuhan 430205, China.

State Key Laboratory of Polymer Physics and Chemistry, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.

出版信息

Sensors (Basel). 2020 Nov 5;20(21):6310. doi: 10.3390/s20216310.

Abstract

Five kinds of new homo-polymer and copolymers of methacrylate containing a fluorine ester group were synthesized and used for the binder of pressure-sensitive paint (PSP)to ensure the good compatibility between luminophore (Pt(II) meso-tetra (pentafluorophenyl) porphine (PtTFPP)) and polymer binder. In the work, we were concerned with how the structure of thesepolymers containing fluorine, especially the various ester group structure, affects the response frequency of PSP using oscillating sound wave technique. The results showed that the pressure sensitivities (Sp) of these PSP samples containing different polymers, exhibit some difference. The length of ester chain on the methacrylatepolymer affects the response frequency of PSP sensor layer composed of the polymer. The longer the chain length of the ester group, the higher the response frequency of the PSP sensor layer quenching by oxygen.

摘要

合成了五种含氟酯基的新型甲基丙烯酸酯均聚物和共聚物,并将其用作压敏漆(PSP)的粘合剂,以确保发光体(Pt(II)中-四(五氟苯基)卟啉(PtTFPP))与聚合物粘合剂之间具有良好的相容性。在这项工作中,我们关注这些含氟聚合物的结构,尤其是各种酯基结构,如何使用振荡声波技术影响PSP的响应频率。结果表明,这些含有不同聚合物的PSP样品的压力灵敏度(Sp)存在一些差异。甲基丙烯酸酯聚合物上酯链的长度影响由该聚合物组成的PSP传感器层的响应频率。酯基的链长越长,被氧气猝灭的PSP传感器层的响应频率越高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4eb9/7663927/498728879ba9/sensors-20-06310-sch001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验