{"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}
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.
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.