The online in situ detection of plastic and its combustion smoke via laser-induced breakdown spectroscopy

IF 1.1 4区 化学 Q3 SPECTROSCOPY Spectroscopy Letters Pub Date : 2023-01-13 DOI:10.1080/00387010.2023.2165505
Enlai Wan, Dongpeng Tian, Zhongmou Sun, Yuzhu Liu
{"title":"The online in situ detection of plastic and its combustion smoke via laser-induced breakdown spectroscopy","authors":"Enlai Wan, Dongpeng Tian, Zhongmou Sun, Yuzhu Liu","doi":"10.1080/00387010.2023.2165505","DOIUrl":null,"url":null,"abstract":"Abstract With the development of modern industry, it can be said that from industrial production to the basic necessities of life, plastic products can be seen everywhere. What follows is the disposal of plastic waste. How to deal with plastic waste correctly is closely related to people’s health and the earth’s environment. In this paper, laser-induced breakdown spectroscopy is applied for the online in situ detection of plastic and its combustion smoke. According to the spectrum obtained, the main components of plastics are Ca, Mg, Na, K, C, H and O. In the spectrum of smoke, the characteristic peaks of the elements C, H, O and N are observed. In addition, the online detection of heavy metal pollution is simulated. Finally, principal component analysis and error back propagation artificial neural networks were applied for the identification of different plastics and their combustion smoke, and the identification accuracy reaches 92.73% and 77.42% respectively. All the results indicate that laser-induced breakdown spectroscopy technology has great potential in the identification of similar objects and the monitoring of air pollutants.","PeriodicalId":21953,"journal":{"name":"Spectroscopy Letters","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spectroscopy Letters","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1080/00387010.2023.2165505","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"SPECTROSCOPY","Score":null,"Total":0}
引用次数: 1

Abstract

Abstract With the development of modern industry, it can be said that from industrial production to the basic necessities of life, plastic products can be seen everywhere. What follows is the disposal of plastic waste. How to deal with plastic waste correctly is closely related to people’s health and the earth’s environment. In this paper, laser-induced breakdown spectroscopy is applied for the online in situ detection of plastic and its combustion smoke. According to the spectrum obtained, the main components of plastics are Ca, Mg, Na, K, C, H and O. In the spectrum of smoke, the characteristic peaks of the elements C, H, O and N are observed. In addition, the online detection of heavy metal pollution is simulated. Finally, principal component analysis and error back propagation artificial neural networks were applied for the identification of different plastics and their combustion smoke, and the identification accuracy reaches 92.73% and 77.42% respectively. All the results indicate that laser-induced breakdown spectroscopy technology has great potential in the identification of similar objects and the monitoring of air pollutants.
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
激光诱导击穿光谱法在线原位检测塑料及其燃烧烟气
摘要随着现代工业的发展,可以说从工业生产到基本生活必需品,塑料制品随处可见。接下来是塑料垃圾的处理。如何正确处理塑料垃圾,关系到人类健康和地球环境。本文将激光诱导击穿光谱技术应用于塑料及其燃烧烟雾的在线原位检测。根据获得的光谱,塑料的主要成分是Ca、Mg、Na、K、C、H和O。在烟雾的光谱中,观察到元素C、H、O和N的特征峰。此外,还模拟了重金属污染的在线检测。最后,将主成分分析和误差反向传播人工神经网络应用于不同塑料及其燃烧烟雾的识别,识别准确率分别达到92.73%和77.42%。所有结果表明,激光诱导击穿光谱技术在识别类似物体和监测大气污染物方面具有巨大的潜力。
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
Spectroscopy Letters
Spectroscopy Letters 物理-光谱学
CiteScore
2.90
自引率
5.90%
发文量
50
审稿时长
1.3 months
期刊介绍: Spectroscopy Letters provides vital coverage of all types of spectroscopy across all the disciplines where they are used—including novel work in fundamental spectroscopy, applications, diagnostics and instrumentation. The audience is intended to be all practicing spectroscopists across all scientific (and some engineering) disciplines, including: physics, chemistry, biology, instrumentation science, and pharmaceutical science.
期刊最新文献
Spectroscopic, computational, docking, and cytotoxicity investigations of 5-chloro-2-mercaptobenzimidazole as an anti-breast cancer medication Ultraviolet visible spectral water chemical oxygen demand detection method based on two deep neural network model Two-dimensional low-field nuclear magnetic resonance approach for the detection of metabolic syndrome in human serum Molecular structure, light harvesting effect, electronic, topological behavior and molecular docking and molecular dynamic simulation of (Z)-1-(4-chlorophenyl)-3-(3-(E)-3-(4-chlorophenyl)-3-oxo prop-1-en-1-yl)-phenyl) prop-2-en-1-one—in-vitro assay Sub-ppm-level detection of nanoplastics using au nanograting and application to disposable plasticware
×
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