Real-time identification of plastics by types using laser-induced breakdown spectroscopy
Author:
Funder
Ministry of Environment
Publisher
Springer Science and Business Media LLC
Subject
Mechanics of Materials,Waste Management and Disposal
Link
http://link.springer.com/article/10.1007/s10163-018-0780-z/fulltext.html
Reference19 articles.
1. Unnikrishnan VK, Choudhari KS, Kulkarni SD, Nayak R, Kartha VB, Santhosh C (2013) Analytical predictive capabilities of laser induced breakdown spectroscopy (LIBS) with principal component analysis (PCA) for plastic classification. RSC Adv 3:25872–25880
2. Grégoire S, Boudinet M, Pelascini F, Surma F, Detalle V, Holl Y (2011) Laser-induced breakdown spectroscopy for polymer identification. Anal Bioanal Chem 400:3331–3340
3. Huth-Fehre T, Feldhoff R, Kantimm T, Quick L, Winter F, Cammann K, van den Broek W, Wienke D, Melssen W, Buydens L (1995) NIR-Remote sensing and artificial neural networks for rapid identification of post consumer plastics. J Mo Struct 348:143–146
4. Vašková H (2011) A powerful tool for material identification: Raman spectroscopy. Int J Math Models Methods Appl Sci 7:1205–1212
5. Pasquini C, Cortez J, Silva LMC, Gonzaga FB (2007) Laser induced breakdown spectroscopy. J Braz Chem Soc 18:463–512
Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Combining spectroscopy and machine learning for rapid identification of plastic waste: Recent developments and future prospects;Journal of Cleaner Production;2023-12
2. Multi-Spectroscopic Characterization of MgO/Nylon (6/6) Polymer: Evaluating the Potential of LIBS and Statistical Methods;Polymers;2023-07-25
3. An improved classification method of waste smartphone plastics based on near-infrared spectroscopy;Journal of Material Cycles and Waste Management;2023-04-25
4. Recent Advances in Degradation of Polymer Plastics by Insects Inhabiting Microorganisms;Polymers;2023-03-05
5. Online Characterization of Mixed Plastic Waste Using Machine Learning and Mid-Infrared Spectroscopy;ACS Sustainable Chemistry & Engineering;2022-11-18
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3