激光诱导击穿光谱和拉曼光谱法检测和识别樟脑丸中的挥发性物质

IF 3.4 2区 化学 Q1 SPECTROSCOPY
Yuzhu Liu
{"title":"激光诱导击穿光谱和拉曼光谱法检测和识别樟脑丸中的挥发性物质","authors":"Yuzhu Liu","doi":"10.46770/as.2022.231","DOIUrl":null,"url":null,"abstract":": Mothballs are widely used in daily life as an air freshener, but their main components are volatile organic compounds that are harmful to the human body. A system combining laser-induced breakdown spectroscopy (LIBS) with Raman spectroscopy was built for the detection and recognition of volatile substances in mothballs in indoor environments. LIBS is employed for the online in-situ detection of volatile substances in two kinds of mothballs and to find their characteristic spectral lines. A machine learning model is then established to analyze the spectra of air and volatile substance in synthetic mothballs and natural camphor. The model based on principal component analysis and support vector classification achieved a recognition accuracy of 98.33%, indicating that LIBS has significant potential for recognizing volatile substances in mothballs when airborne. By comparing the experimental Raman spectra of mothballs and theoretical Raman spectra of their main components, the spectral fingerprints of mothballs are obtained as a supplement to LIBS detection.","PeriodicalId":8642,"journal":{"name":"Atomic Spectroscopy","volume":" ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection And Recognition Of Volatile Substances In Mothballs Using Laser-Induced Breakdown Spectroscopy And Raman Spectroscopy\",\"authors\":\"Yuzhu Liu\",\"doi\":\"10.46770/as.2022.231\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": Mothballs are widely used in daily life as an air freshener, but their main components are volatile organic compounds that are harmful to the human body. A system combining laser-induced breakdown spectroscopy (LIBS) with Raman spectroscopy was built for the detection and recognition of volatile substances in mothballs in indoor environments. LIBS is employed for the online in-situ detection of volatile substances in two kinds of mothballs and to find their characteristic spectral lines. A machine learning model is then established to analyze the spectra of air and volatile substance in synthetic mothballs and natural camphor. The model based on principal component analysis and support vector classification achieved a recognition accuracy of 98.33%, indicating that LIBS has significant potential for recognizing volatile substances in mothballs when airborne. By comparing the experimental Raman spectra of mothballs and theoretical Raman spectra of their main components, the spectral fingerprints of mothballs are obtained as a supplement to LIBS detection.\",\"PeriodicalId\":8642,\"journal\":{\"name\":\"Atomic Spectroscopy\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2022-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atomic Spectroscopy\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.46770/as.2022.231\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SPECTROSCOPY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atomic Spectroscopy","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.46770/as.2022.231","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SPECTROSCOPY","Score":null,"Total":0}
引用次数: 0

摘要

:樟脑丸作为空气清新剂在日常生活中被广泛使用,但其主要成分是对人体有害的挥发性有机化合物。建立了激光诱导击穿光谱(LIBS)与拉曼光谱相结合的室内樟脑丸挥发性物质检测与识别系统。利用液相色谱法对两种樟脑丸中的挥发性物质进行了在线原位检测,并找到了其特征谱线。然后建立机器学习模型,分析合成樟脑和天然樟脑中空气和挥发性物质的光谱。基于主成分分析和支持向量分类的模型识别准确率达到98.33%,表明LIBS对樟脑丸空中挥发性物质的识别潜力显著。通过对比樟脑丸的实验拉曼光谱和其主要成分的理论拉曼光谱,得到樟脑丸的光谱指纹图谱,作为LIBS检测的补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection And Recognition Of Volatile Substances In Mothballs Using Laser-Induced Breakdown Spectroscopy And Raman Spectroscopy
: Mothballs are widely used in daily life as an air freshener, but their main components are volatile organic compounds that are harmful to the human body. A system combining laser-induced breakdown spectroscopy (LIBS) with Raman spectroscopy was built for the detection and recognition of volatile substances in mothballs in indoor environments. LIBS is employed for the online in-situ detection of volatile substances in two kinds of mothballs and to find their characteristic spectral lines. A machine learning model is then established to analyze the spectra of air and volatile substance in synthetic mothballs and natural camphor. The model based on principal component analysis and support vector classification achieved a recognition accuracy of 98.33%, indicating that LIBS has significant potential for recognizing volatile substances in mothballs when airborne. By comparing the experimental Raman spectra of mothballs and theoretical Raman spectra of their main components, the spectral fingerprints of mothballs are obtained as a supplement to LIBS detection.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Atomic Spectroscopy
Atomic Spectroscopy 物理-光谱学
CiteScore
5.30
自引率
14.70%
发文量
42
审稿时长
4.5 months
期刊介绍: The ATOMIC SPECTROSCOPY is a peer-reviewed international journal started in 1962 by Dr. Walter Slavin and now is published by Atomic Spectroscopy Press Limited (ASPL). It is intended for the rapid publication of both original articles and review articles in the fields of AAS, AFS, ICP-OES, ICP-MS, GD-MS, TIMS, SIMS, AMS, LIBS, XRF and related techniques. Manuscripts dealing with (i) instrumentation & fundamentals, (ii) methodology development & applications, and (iii) standard reference materials (SRMs) development can be submitted for publication.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信