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Updated: Jul 30, 2025

Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis
Published on: December 16, 2016
Comprehensive analysis of common polymers using hyphenated TGA-FTIR-GC/MS and Raman spectroscopy towards a database
Sungyoon Jung1, Achyut J Raghavendra1, Anil K Patri1
1Nanotechnology Core Facility, Office of Scientific Coordination, National Center for Toxicological Research, Food and Drug Administration, Jefferson, AR 72079, USA.
This study presents a comprehensive analytical dataset for identifying and quantifying micro- and nanoplastics (MNPs) in the environment. The developed method, using TGA-FTIR-GC/MS, aids in creating a standardized global database for MNP analysis.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Materials Science
Background:
- Micro- and nanoplastics (MNPs) contamination is a growing global concern, leading to increased research.
- Standardized analytical methods for MNP identification and quantification in environmental samples are lacking.
- Public and scientific interest in environmental, ecological, and human exposure to MNPs is rapidly increasing.
Purpose of the Study:
- To establish a baseline reference dataset for identifying and quantifying common environmental MNPs.
- To optimize analytical parameters for TGA-FTIR-GC/MS data acquisition for MNP analysis.
- To develop a comprehensive, curated public database for MNP identification and mixture analysis.
Main Methods:
- Utilized thermogravimetric analyzer (TGA) coupled with Fourier transformed infrared spectroscopy (FTIR) and gas chromatography/mass spectrometry (GC/MS).
- Acquired corresponding Raman spectral data for 35 common plastics across 12 polymer types.
- Optimized TGA-FTIR-GC/MS parameters and analyzed commercial plastic products.
Main Results:
- Generated comprehensive datasets for 12 common polymer types, serving as a reference for MNP identification and quantification.
- Successfully identified compositions of commercial consumer plastic products using the analytical database.
- Demonstrated the method's utility for analyzing polymer mixtures through case studies.
Conclusions:
- The developed analytical approach and datasets provide a foundation for standardized MNP identification and quantification.
- The comprehensive dataset supports the creation of a collaborative, global public database for MNPs.
- This work addresses a critical knowledge gap in environmental MNP analysis, aiding future research and policy development.
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