Effect of chalcone moiety on AC conductance of Metal Oxide Nano Composite doped thin polymer film

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES Smart Science Pub Date : 2022-08-28 DOI:10.1080/23080477.2022.2117016
B. Ayyanar, J. Suresh, V. Thangaraj, S. Karthikeyan, A. Arun, M. Kayalvizhi
{"title":"Effect of chalcone moiety on AC conductance of Metal Oxide Nano Composite doped thin polymer film","authors":"B. Ayyanar, J. Suresh, V. Thangaraj, S. Karthikeyan, A. Arun, M. Kayalvizhi","doi":"10.1080/23080477.2022.2117016","DOIUrl":null,"url":null,"abstract":"ABSTRACT PVA, Chitosan, transition metal oxide nanocomposites, and a chlorinated chalcone moiety were used to create a 0.03 cm−1 thin polymer film. Prepared films were characterized using available techniques. The prepared film shows a semi-crystalline nature, proved by XRD analysis, and the nano-scale crystalline size (40–150 nm) was also observed. The surface of the film was smooth and a blooming flower resembling structure appeared in the SEM images obtained at 5 µm. The XPS and EDX spectra reveal the presence of added transition metals and other elements present in the prepared polymer thin film. The prepared film undergoes multistage decomposition upon heating, which was proved by TGA analysis. FT-IR analysis of the film shows that there was no chemical interaction between the added compound and the host polymer; instead, physical interactions alone persisted. Higher AC conductivity was observed with a value of 1.30 × 10−6 Scm−1 at room temperature for polymer composite film made up of MONC and DCHP. This conductance varies with temperature, and at higher temperatures, both dielectric loss and dielectric constant are high. It was discovered that the presence of chalcone moiety improves the AC conductance and dielectric properties of MONC doped polymer composite film. GRAPICAL ABSTRACT","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2022-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23080477.2022.2117016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

ABSTRACT PVA, Chitosan, transition metal oxide nanocomposites, and a chlorinated chalcone moiety were used to create a 0.03 cm−1 thin polymer film. Prepared films were characterized using available techniques. The prepared film shows a semi-crystalline nature, proved by XRD analysis, and the nano-scale crystalline size (40–150 nm) was also observed. The surface of the film was smooth and a blooming flower resembling structure appeared in the SEM images obtained at 5 µm. The XPS and EDX spectra reveal the presence of added transition metals and other elements present in the prepared polymer thin film. The prepared film undergoes multistage decomposition upon heating, which was proved by TGA analysis. FT-IR analysis of the film shows that there was no chemical interaction between the added compound and the host polymer; instead, physical interactions alone persisted. Higher AC conductivity was observed with a value of 1.30 × 10−6 Scm−1 at room temperature for polymer composite film made up of MONC and DCHP. This conductance varies with temperature, and at higher temperatures, both dielectric loss and dielectric constant are high. It was discovered that the presence of chalcone moiety improves the AC conductance and dielectric properties of MONC doped polymer composite film. GRAPICAL ABSTRACT
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
查尔酮部分对金属氧化物纳米复合材料掺杂聚合物薄膜交流电导的影响
摘要:PVA、壳聚糖、过渡金属氧化物纳米复合材料和氯化查尔酮部分用于制备0.03 cm−1的聚合物薄膜。使用现有技术对制备的薄膜进行表征。XRD分析证明,所制备的薄膜显示出半结晶性质,并观察到纳米级晶体尺寸(40–150 nm)。薄膜表面光滑,在5µm处获得的SEM图像中出现类似花朵的结构。XPS和EDX光谱揭示了所制备的聚合物薄膜中存在的添加的过渡金属和其他元素的存在。制备的薄膜在加热时经历多阶段分解,TGA分析证明了这一点。薄膜的FT-IR分析表明,添加的化合物与主体聚合物之间没有化学相互作用;相反,仅物理交互就一直存在。由MONC和DCHP组成的聚合物复合膜在室温下具有较高的交流电导率,其值为1.30×10−6 Scm−1。这种电导随温度变化,在较高的温度下,介电损耗和介电常数都很高。研究发现,查尔酮部分的存在改善了MONC掺杂聚合物复合膜的交流电导和介电性能。笔法摘要
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Smart Science
Smart Science Engineering-Engineering (all)
CiteScore
4.70
自引率
4.30%
发文量
21
期刊介绍: Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials
期刊最新文献
A comprehensive review on stochastic modeling of electric vehicle charging load demand regarding various uncertainties Sentiment analysis technique on product reviews using Inception Recurrent Convolutional Neural Network with ResNet Transfer Learning Reinforced black widow algorithm with restoration technique based on optimized deep generative adversarial network Multi-headed U-Net: an automated nuclei segmentation technique using Tikhonov filter-based unsharp masking Islanded micro-grid under variable load conditions for local distribution network using artificial neural network
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1