Comparative Study of Furfural’s Raman Spectroscopy Detection in oil based on two kinds of Extractants

Weiran Zhou, Weigen Chen, Fu Wan, Haiyang Shi, Shuhua Zhang, Jiayi Zhang, Chengzhi Zhu
{"title":"Comparative Study of Furfural’s Raman Spectroscopy Detection in oil based on two kinds of Extractants","authors":"Weiran Zhou, Weigen Chen, Fu Wan, Haiyang Shi, Shuhua Zhang, Jiayi Zhang, Chengzhi Zhu","doi":"10.1109/ICDL.2019.8796789","DOIUrl":null,"url":null,"abstract":"How to accurately detect the concentration of furfural in transformer oil plays an important role in the analysis of the aging state of the transformer. As a fast and non-destructive detection method, Raman spectroscopy is the key to improving the sensitivity of Raman detection. In this paper, based on the extraction technique, the deionized water and methanol are used as extractants to carry out the comparative experiment of furfural Raman spectroscopy in oil. Firstly, the deionized water and methanol extract of furfural in oil are prepared and obtained. The Raman characteristic peaks of furfural are 1372 cm-1 and 1411 cm-1 and 1675 cm-1 by Raman detection, and qualitative analysis is discussed. The experimental results show that deionized water as an extractant has certain feasibility for Raman detection, and it has the lower limit of detection for Raman detection compared with methanol as extractant, which makes a certain contribution in order to improve the sensitivity of furfural Raman detection in transformer oil.","PeriodicalId":102217,"journal":{"name":"2019 IEEE 20th International Conference on Dielectric Liquids (ICDL)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 20th International Conference on Dielectric Liquids (ICDL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDL.2019.8796789","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

How to accurately detect the concentration of furfural in transformer oil plays an important role in the analysis of the aging state of the transformer. As a fast and non-destructive detection method, Raman spectroscopy is the key to improving the sensitivity of Raman detection. In this paper, based on the extraction technique, the deionized water and methanol are used as extractants to carry out the comparative experiment of furfural Raman spectroscopy in oil. Firstly, the deionized water and methanol extract of furfural in oil are prepared and obtained. The Raman characteristic peaks of furfural are 1372 cm-1 and 1411 cm-1 and 1675 cm-1 by Raman detection, and qualitative analysis is discussed. The experimental results show that deionized water as an extractant has certain feasibility for Raman detection, and it has the lower limit of detection for Raman detection compared with methanol as extractant, which makes a certain contribution in order to improve the sensitivity of furfural Raman detection in transformer oil.
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
两种萃取剂对油脂中糠醛拉曼光谱检测的比较研究
如何准确检测变压器油中糠醛的浓度,对分析变压器的老化状态具有重要意义。拉曼光谱作为一种快速、无损的检测方法,是提高拉曼检测灵敏度的关键。本文在萃取技术的基础上,以去离子水和甲醇为萃取剂,对油中糠醛拉曼光谱进行了对比实验。首先,制备并得到油中糠醛的去离子水和甲醇提取物。通过拉曼检测,糠醛的拉曼特征峰分别为1372 cm-1、1411 cm-1和1675 cm-1,并进行了定性分析。实验结果表明,去离子水作为萃取剂进行拉曼检测具有一定的可行性,并且与甲醇作为萃取剂相比,去离子水具有拉曼检测的下限,为提高变压器油中糠醛拉曼检测的灵敏度做出了一定的贡献。
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
0
期刊最新文献
SF6 Gas Replacement in Pulsed High Voltage Coaxial Cables Electron Self-Trapping in Vortex Rings in Superfluid Helium Numerical Study of the Thermal Excitation Applied to a Dielectric Liquid Film Assessing the Production and Loss of Electrons from Conduction Currents in Mineral Oil The conformity of DGA interpretation techniques: Experience from transformer 132 units
×
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