首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Quantitative analysis of PET microplastics in environmental model samples using quantitative 1H-NMR spectroscopy: validation of an optimized and consistent sample clean-up method
Authors:Peez  Nadine  Becker  Jochen  Ehlers  Sonja M  Fritz  Melanie  Fischer  Christian B  Koop  Jochen H E  Winkelmann  Carola  Imhof  Wolfgang
Institution:1.Institute of Integrated Natural Sciences, University Koblenz-Landau, Universitätsstr. 1, 56070, Koblenz, Germany
;2.Department of Animal Ecology, Federal Institute of Hydrology, Am Mainzer Tor 1, 56068, Koblenz, Germany
;3.Materials Science and Nano-engineering Department, Mohammed VI Polytechnic University, 43150, Ben Guerir, Morocco
;
Abstract:

Identification and quantification of microplastics (MP) in environmental samples is crucial for understanding the risk and distribution of MP in the environment. Currently, quantification of MP particles in environmental samples and the comparability of different matrices is a major research topic. Research also focusses on sample preparation, since environmental samples must be free of inorganic and organic matrix components for the MP analysis. Therefore, we would like to propose a new method that allows the comparison of the results of MP analysis from different environmental matrices and gives a MP concentration in mass of MP particles per gram of environmental sample. This is possible by developing and validating an optimized and consistent sample preparation scheme for quantitative analysis of MP particles in environmental model samples in conjunction with quantitative 1H-NMR spectroscopy (qNMR). We evaluated for the first time the effects of different environmental matrices on identification and quantification of polyethylene terephthalate (PET) fibers using the qNMR method. Furthermore, high recovery rates were obtained from spiked environmental model samples (without matrix ~?90%, sediment ~?97%, freshwater ~?94%, aquatic biofilm ~?95%, and invertebrate matrix ~?72%), demonstrating the high analytical potential of the method.

 loading=

Graphical abstract

Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号