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Bioplastics01:27

Bioplastics

Bioplastics derived from microbial processes present a sustainable alternative to conventional petroleum-based plastics. Among these, polyhydroxyalkanoates (PHAs), particularly polyhydroxybutyrates (PHBs), have emerged as prominent candidates due to their biodegradability and biocompatibility. These polymers are synthesized by a variety of bacteria, such as Cupriavidus necator and Pseudomonas putida, which naturally accumulate PHAs as intracellular carbon and energy reserves, especially under...

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In-Line Chemical Composition Monitoring for the Injection Molding Process of Biodegradable Polymer Blends Using

Itsuki Yoshikawa1, Yuta Hikima2, Masahiro Ohshima1

  • 1Department of Chemical Engineering, Kyoto University, Kyoto, Japan.

Applied Spectroscopy
|April 23, 2024
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Summary

High-pressure near-infrared (NIR) spectroscopy probes were developed for in-line monitoring of polymer blend composition during injection molding. This method accurately tracks blend ratios and material changes in real-time.

Keywords:
In-line monitoringNIR spectroscopybiodegradable polymer blendsinjection moldingnear-infrared spectroscopy

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Area of Science:

  • Polymer Science
  • Spectroscopy
  • Materials Engineering

Background:

  • In-line near-infrared (NIR) spectroscopy is crucial for monitoring polymer blend composition and uniformity in processing.
  • High-pressure conditions in injection molding have historically limited the application of NIR spectroscopy for real-time material analysis.

Purpose of the Study:

  • To develop and validate high-pressure NIR probes for in-line monitoring during polymer injection molding.
  • To assess the feasibility of using NIR spectroscopy to quantify blend ratios of poly(lactic acid) and polybutylene succinate adipate.

Main Methods:

  • Developed specialized NIR probes capable of withstanding pressures up to 130 MPa and temperatures of 200°C.
  • Acquired in-line transmission and diffuse reflectance NIR spectra during the injection molding of PLA/PBS-A blends.
  • Utilized second-derivative spectra analysis and partial least squares regression for quantitative analysis.

Main Results:

  • Spectral band intensities in second-derivative spectra showed monotonic responses to varying blend ratios.
  • A partial least squares regression model integrating both transmission and diffuse reflectance data achieved high accuracy in estimating blend ratios.
  • The developed model successfully monitored polymer blend changes during material changeover operations in real-time.

Conclusions:

  • High-pressure NIR spectroscopy is a viable technique for in-line monitoring of polymer blend composition during injection molding.
  • The developed probes and methodology enable accurate, real-time quality control and process development for polymer blends.
  • This approach facilitates efficient monitoring of material transitions and blend uniformity in demanding processing environments.