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Updated: Jun 27, 2025
05:05
Quantification of Polybutylene Adipate Terephthalate-based Micro- and Nano-plastics from Soil Using Proton Nuclear Magnetic Resonance Spectroscopy
Published on: June 6, 2025
57
In situ dissolved polypropylene prediction by Raman and ATR-IR spectroscopy for its recycling
Sofiane Ferchichi1,2,3, Nida Sheibat-Othman2, Olivier Boyron3
1IFP Energies Nouvelles, Rond-Point de l'échangeur de Solaize, 69360 Solaize, France. maud.rey-bayle@ifpen.fr.
Summary
This study optimizes plastic recycling by monitoring polyolefin dissolution using Raman and attenuated total reflectance infrared spectroscopy. Raman spectroscopy provided superior prediction of dissolved polymer content for process optimization.
Area of Science:
- Polymer Science
- Analytical Chemistry
- Chemical Engineering
Background:
- Plastic recycling processes require efficient monitoring of polymer dissolution.
- Online spectroscopic methods offer real-time analysis for process control.
Purpose of the Study:
- To optimize plastic recycling by monitoring polyolefin dissolution using spectroscopy.
- To compare the effectiveness of Raman spectroscopy and attenuated total reflectance infrared spectroscopy (ATR-IR) for predicting dissolved polymer content.
- To investigate factors influencing polypropylene dissolution.
Main Methods:
- Utilized two in situ spectroscopic techniques: Raman spectroscopy and ATR-IR.
- Employed partial least squares regression (PLSR) to develop predictive models for polymer concentration.
- Investigated commercially available polypropylenes and various solvents based on polypropylene affinity.
Main Results:
- Both Raman spectroscopy and ATR-IR were used to predict dissolved polymer content.
- Raman spectroscopy demonstrated superior predictive performance compared to ATR-IR.
- The study identified key parameters affecting polypropylene dissolution, including solvent type, temperature, and polymer form.
Conclusions:
- Online Raman spectroscopy is a highly effective tool for monitoring polyolefin dissolution in recycling.
- The developed models enable optimization of plastic recycling processes through real-time analysis.
- Understanding the influence of solvent, temperature, and polymer form is crucial for efficient dissolution.
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