A methodology for the fast identification and monitoring of microplastics in environmental samples using random decision forest classifiers
Author:
Affiliation:
1. Institute of Chemical Technologies and Analytics
2. Vienna University of Technology
3. Austria
4. Department of Animal Ecology I and BayCEER
5. University of Bayreuth
6. Germany
Abstract
A new yet little understood threat to our ecosystems is microplastics.
Funder
Deutsche Forschungsgemeinschaft
German Federal Ministry of Education and Research
Publisher
Royal Society of Chemistry (RSC)
Subject
General Engineering,General Chemical Engineering,Analytical Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2019/AY/C9AY00252A
Reference37 articles.
1. Microplastics in freshwater systems: A review of the emerging threats, identification of knowledge gaps and prioritisation of research needs
2. Microplastics in the Marine Environment: A Review of the Methods Used for Identification and Quantification
3. Wastewater treatment plants as a source of microplastics in river catchments
4. Focal plane array detector-based micro-Fourier-transform infrared imaging for the analysis of microplastics in environmental samples
Cited by 92 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. Artificial intelligence in microplastic detection and pollution control;Environmental Research;2024-12
2. Using artificial intelligence to rapidly identify microplastics pollution and predict microplastics environmental behaviors;Journal of Hazardous Materials;2024-08
3. Enhanced classification of microplastic polymers (polyethylene, polystyrene, low‐density polyethylene, polyhydroxyalkanoate) in waterbodies;Polymers for Advanced Technologies;2024-07
4. Nanoplastics in Water: Artificial Intelligence-Assisted 4D Physicochemical Characterization and Rapid In Situ Detection;Environmental Science & Technology;2024-05-06
5. Generation of synthetic FTIR spectra to facilitate chemical identification of microplastics;Marine Pollution Bulletin;2024-05
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