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Extraction of Organochlorine Pesticides from Plastic Pellets and Plastic Type Analysis
Published on: July 1, 2017
A Time-Gated Raman Spectroscopy and Mass Spectrometry Comparative Chemical Analysis of Plasticizers
Julie M Rieland1, Yamil Simón-Manso2, Adam Zuber2
1Materials Science and Engineering Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States of America.
This study developed searchable libraries and tools to identify 91 common plasticizers in recycled plastics using mass spectrometry and time-gated Raman spectroscopy. These methods aid in quantifying plastic additives for improved recycling processes.
Area of Science:
- Analytical Chemistry
- Materials Science
- Polymer Chemistry
Background:
- Quantitative chemical characterization of postconsumer plastics is complex due to diverse polymer chemistries and additives.
- Plasticizers, crucial for polymer flexibility, are difficult to identify and quantify in recycling and end-of-life scenarios.
Purpose of the Study:
- To critically assess mass spectrometry (MS) and time-gated Raman spectroscopy (TG-Raman) for plasticizer identification.
- To generate searchable spectral libraries for 91 common plasticizers.
- To develop tools for measuring spectral similarity and analyzing identification reliability.
Main Methods:
- Generation of searchable spectral libraries for 91 plasticizers using MS and TG-Raman.
- Development of spectral similarity measurement tools.
- Analysis of identification reliability using TG-Raman and liquid chromatography-mass spectrometry (LC-MS).
- Application of developed tools to NIST Standard Reference Material (SRM) 2860 (Phthalates in Polyvinyl Chloride).
Main Results:
- Established searchable libraries for 91 common plasticizers.
- Developed reliable tools for spectral similarity assessment.
- Evaluated the performance of TG-Raman and LC-MS (with atmospheric pressure chemical ionization) for plasticizer identification.
- Highlighted the specific advantages and disadvantages of each technique for different plasticizer chemical families.
Conclusions:
- Both MS and TG-Raman are valuable for plasticizer identification, each with unique strengths.
- The developed libraries and tools enhance the ability to identify and quantify plasticizers in complex plastic matrices.
- This research supports improved chemical characterization of plastics for recycling and waste management.
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