Calculate The Conductivity of Some Composites of Cellulose Bacteria Mixed with Polypyrol

S. Yunus, Hairul Abrar, Auliya Akbar
{"title":"Calculate The Conductivity of Some Composites of Cellulose Bacteria Mixed with Polypyrol","authors":"S. Yunus, Hairul Abrar, Auliya Akbar","doi":"10.25077/jnte.v10n3.927.2021","DOIUrl":null,"url":null,"abstract":"The manufacture of composites that have good electrical properties is to use a conductive polymer matrix. A conductive polymer is a polymer compound that has a stable bond that allows the polymer to act as a good conductor of electricity. This study aims to determine the highest conductivity value of composite materials that have been coated with polypyrrole, namely bacterial cellulose with polypyrrole (bio composite 1), tempo bacteria cellulose with polypyrrole (bio composite 2), and Gambier bacteria cellulose with polypyrrole (bio composite 3). In this study, there were four samples consisting of nata de coco (cellulosic bacteria), 2, 2, 6, 6-tetramethylpiperidine 1-oxyl (TEMPO), Gambier extract, and polypyrrole. Measurement of resistance value using the two point probe method. The results of this study obtained that the resistance and conductivity values of bio composite 1, bio composite 2, and bio composite 3 were 29.742 k? and 1.17810-3 S/cm, 20.338 k? and 1.69210-3 S/cm, 34,572 k? and 0.980710-3 S/cm. The measurement results show that the highest conductivity value is bio composite 2.","PeriodicalId":30660,"journal":{"name":"Jurnal Nasional Teknik Elektro","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Nasional Teknik Elektro","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25077/jnte.v10n3.927.2021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The manufacture of composites that have good electrical properties is to use a conductive polymer matrix. A conductive polymer is a polymer compound that has a stable bond that allows the polymer to act as a good conductor of electricity. This study aims to determine the highest conductivity value of composite materials that have been coated with polypyrrole, namely bacterial cellulose with polypyrrole (bio composite 1), tempo bacteria cellulose with polypyrrole (bio composite 2), and Gambier bacteria cellulose with polypyrrole (bio composite 3). In this study, there were four samples consisting of nata de coco (cellulosic bacteria), 2, 2, 6, 6-tetramethylpiperidine 1-oxyl (TEMPO), Gambier extract, and polypyrrole. Measurement of resistance value using the two point probe method. The results of this study obtained that the resistance and conductivity values of bio composite 1, bio composite 2, and bio composite 3 were 29.742 k? and 1.17810-3 S/cm, 20.338 k? and 1.69210-3 S/cm, 34,572 k? and 0.980710-3 S/cm. The measurement results show that the highest conductivity value is bio composite 2.
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
纤维素细菌与聚吡咯复合材料电导率的计算
具有良好电性能的复合材料的制造是使用导电聚合物基体。导电聚合物是一种具有稳定键的聚合物化合物,该键允许聚合物充当良好的导电体。本研究旨在确定涂有聚吡咯的复合材料的最高电导率值,即细菌纤维素与聚吡咯(生物复合材料1)、tempo细菌纤维素与聚吡咯(生物合成材料2)和Gambier细菌纤维素与聚合吡咯(生物复合材料3)。在本研究中,共有四个样品,包括nata de coco(纤维素细菌)、2、2、6、6-四甲基哌啶-1-氧基(TEMPO)、甘比尔提取物和聚吡咯。使用两点探针法测量电阻值。本研究的结果表明,生物复合材料1、生物复合材料2和生物复合材料3的电阻和电导率分别为29.742k?和1.17810-3 S/cm,20.338 k?和1.69210-3 S/cm,34572 k?和0.980710-3 S/cm。测量结果表明,生物复合材料2的电导率值最高。
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
自引率
0.00%
发文量
20
期刊最新文献
Development of DC Motor Speed Control Using PID Based on Arduino and Matlab For Laboratory Trainer IoT-Based Disaster Response Robot for Victim Identification in Building Collapses Techno-Economic Analysis for Raja Ampat Off-Grid System Comparative Analysis of Two-Stage and Single-Stage Models in Batteryless PV Systems for Motor Power Supply Enhanced Identification of Valvular Heart Diseases through Selective Phonocardiogram Features Driven by Convolutional Neural Networks (SFD-CNN)
×
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