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Polyethylene terephthalate (PET) is a synthetic polymer widely utilized in the packaging industry, particularly for bottles and containers. Due to its chemical stability and durability, PET accumulates in the environment, contributing significantly to plastic pollution. It comprises repeating units of terephthalic acid and ethylene glycol, resulting in a semi-crystalline structure that is resistant to natural degradation processes.A notable breakthrough in plastic biodegradation came with the...
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Monitoring Polypropylene Chain-Scission for Dissolution-Based Recycling by In Situ Near Infrared and Raman

Sofiane Ferchichi1,2,3, Nida Sheibat-Othman2, Olivier Boyron3

  • 1IFP Energies Nouvelles, Rond-Point de l'échangeur de Solaize, Solaize, 69360, France.

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PubMed
Summary
This summary is machine-generated.

Polypropylene degradation during recycling can be monitored using spectroscopy. Near-infrared (NIR) and Raman spectroscopy, combined with chemometrics, accurately predict polymer changes, aiding real-time recycling supervision.

Keywords:
GA‐PLSchain‐scissionmonitoringpolypropylenerecyclingspectroscopy

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Area of Science:

  • Polymer Chemistry
  • Materials Science
  • Spectroscopy

Background:

  • Polypropylene recycling via dissolution is a promising sustainable approach.
  • Understanding and monitoring polymer degradation during dissolution is crucial for process efficiency and product quality.

Purpose of the Study:

  • To investigate the degradation of polypropylene in solution during recycling.
  • To develop spectroscopic methods for real-time monitoring of polypropylene degradation.

Main Methods:

  • Utilized in situ Near-Infrared (NIR) and Raman spectroscopy to analyze polypropylene degradation.
  • Developed Genetic Algorithm-Partial Least Squares (GA-PLS) models for NIR spectra and Partial Least Squares (PLS) models for Raman spectra.
  • Correlated spectral changes, including baseline shifts and coloration, with polymer degradation parameters.

Main Results:

  • NIR spectroscopy, analyzed with GA-PLS, indicated physical changes related to baseline variations.
  • Raman spectroscopy, analyzed with PLS, showed a baseline drift correlated with coloration due to degradation.
  • Both spectroscopic techniques demonstrated good predictive performance for monitoring degradation.

Conclusions:

  • In situ NIR and Raman spectroscopy are effective tools for supervising polypropylene degradation during dissolution recycling.
  • These spectroscopic methods offer potential for real-time process control in polypropylene recycling operations.