0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Sign in to save

Quantitative analysis of PET microplastics in environmental model samples using quantitative 1H-NMR spectroscopy: validation of an optimized and consistent sample clean-up method

Analytical and Bioanalytical Chemistry 2019 54 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Sonja M. Ehlers, Nadine Peez, Nadine Peez, Nadine Peez, Sonja M. Ehlers, Nadine Peez, Sonja M. Ehlers, Sonja M. Ehlers, Sonja M. Ehlers, Melanie Fritz, Sonja M. Ehlers, Sonja M. Ehlers, Sonja M. Ehlers, Nadine Peez, Nadine Peez, Nadine Peez, Nadine Peez, Nadine Peez, Nadine Peez, Nadine Peez, Nadine Peez, Sonja M. Ehlers, J. Susanne Becker, J. Susanne Becker, Wolfgang Imhof, Sonja M. Ehlers, Sonja M. Ehlers, Sonja M. Ehlers, Sonja M. Ehlers, Sonja M. Ehlers, Sonja M. Ehlers, Wolfgang Imhof, Sonja M. Ehlers, Wolfgang Imhof, J. Susanne Becker, J. Susanne Becker, Sonja M. Ehlers, Jochen H. E. Koop Jochen H. E. Koop Jochen H. E. Koop Jochen H. E. Koop Jochen H. E. Koop Sonja M. Ehlers, Sonja M. Ehlers, Sonja M. Ehlers, Sonja M. Ehlers, Sonja M. Ehlers, Sonja M. Ehlers, Wolfgang Imhof, Wolfgang Imhof, Wolfgang Imhof, Wolfgang Imhof, Jochen H. E. Koop, Jochen H. E. Koop, Jochen H. E. Koop Jochen H. E. Koop, Jochen H. E. Koop, Jochen H. E. Koop, Jochen H. E. Koop, Sonja M. Ehlers, Sonja M. Ehlers, Wolfgang Imhof, Sonja M. Ehlers, Sonja M. Ehlers, Jochen H. E. Koop Melanie Fritz, Jochen H. E. Koop Jochen H. E. Koop Sonja M. Ehlers, Wolfgang Imhof, Melanie Fritz, Nadine Peez, Jochen H. E. Koop, Jochen H. E. Koop, Jochen H. E. Koop, Nadine Peez, Christian B. Fischer, Jochen H. E. Koop, Wolfgang Imhof, Christian B. Fischer, Jochen H. E. Koop Christian B. Fischer, Jochen H. E. Koop, Jochen H. E. Koop, Jochen H. E. Koop Jochen H. E. Koop Carola Winkelmann, Carola Winkelmann, Jochen H. E. Koop, Jochen H. E. Koop Jochen H. E. Koop Wolfgang Imhof, Jochen H. E. Koop, Wolfgang Imhof, Jochen H. E. Koop Jochen H. E. Koop

Summary

Researchers proposed a new mass-based method for quantifying PET microplastics in environmental samples that enables comparisons across different sample matrices. Standardizing how microplastics are measured — particularly reporting mass rather than just particle counts — would improve the comparability of data from different studies.

Polymers
Study Type Environmental

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 H-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. Graphical abstract.

Sign in to start a discussion.

Share this paper