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In situ density determination of polyethylene in multilayer polymer films using Raman microscopy

Applications | 2018 | Thermo Fisher ScientificInstrumentation
RAMAN Spectroscopy, Microscopy
Industries
Materials Testing
Manufacturer
Thermo Fisher Scientific

Summary

Importance of the Topic


Polyethylene is among the most widely produced plastics with density directly influencing crystallinity mechanical strength and barrier properties. Accurate determination of PE density at the layer level in multilayer films is essential for product design performance and quality control in packaging and industrial applications.

Objectives and Overview


This work presents the development of a quantitative Raman microscopy method combined with partial least squares regression to measure polyethylene density in single and multilayer films in situ without complex sample preparation.

Methodology and Instrumentation


The study utilized a Thermo Scientific DXR2 Raman Microscope equipped with a 532 nm laser confocal objectives and OMNIC software for data acquisition. TQ Analyst software handled spectral normalization and PLS model building. A total of 25 reference samples (12 pellets and 13 films) spanning HDPE LDPE and LLDPE densities were analyzed. Spectra were collected at multiple points baseline corrected normalized to the CH₂ bending band (1440 cm⁻¹) and focused on the 1400–1500 cm⁻¹ range for quantitative analysis.

Results and Discussion


Distinct CH₂ stretching (2848/2882 cm⁻¹) and bending (1416/1440 cm⁻¹) features reflected differences in crystallinity and density among PE types. A three-factor PLS model achieved a correlation coefficient above 0.99 and RMSE below 0.005 g/cm³ for calibration and validation samples. All 25 samples were predicted within ±0.81 % of actual densities. Confocal depth profiling of a multilayer nicotine patch resolved two PE layers with densities characteristic of LDPE/LLDPE in the backing layer and HDPE in the rate-controlling membrane.

Benefits and Practical Applications


  • Non-destructive in situ density measurement within complex multilayer films
  • Avoids laborious layer separation and microtoming
  • Applicable to both pellet and film samples across the full PE density range
  • Supports materials selection quality assurance reverse engineering and failure analysis

Future Trends and Applications


Expanding this approach to other polymer systems and integrating real-time monitoring could further optimize production control. Advances in automated Raman mapping and deeper confocal profiling may enable detailed multilayer characterization and online inspection of packaging films.

Conclusion


Raman microscopy combined with PLS regression offers a fast accurate and non-destructive method for quantifying polyethylene density in situ within multilayer films. The method correlates strongly with traditional techniques and streamlines analysis by eliminating extensive sample preparation.

Reference


  1. Piringer OG and Baner AL Plastic Packaging Interactions with Food and Pharmaceuticals 2nd ed Wiley VCH 2008
  2. Polyethylene The Essential Chemical Industry online accessed 2017
  3. ISO 1183-1 2012 Plastics Methods for determining the density Part 1 Immersion method liquid pyknometer and titration method
  4. ISO 1183-2 2004 Plastics Methods for determining density Part 2 Density gradient column method
  5. ASTM D792-13 Standard Test Methods for density and specific gravity of plastics by displacement
  6. ASTM D1505-10 Standard Test Method for density of plastics by the density gradient technique
  7. ASTM D4883-08 Standard Test Method for density of polyethylene by the ultrasound technique
  8. Mieth A Hoekstra E Simoneau C Guidance for the identification of polymers in multilayer films EUR 27816 EN 2016
  9. Sato H et al J Appl Polym Sci 2002 86 443–448
  10. Strobl GR Hagedorn W J Polym Sci B Polym Phys 1978 16 1181-1193
  11. Williams KPJ Everall NJ J Raman Spectrosc 1995 26 427-433
  12. Ibrahim M He H Thermo Scientific Application Note AN52301 2017
  13. Thermo Scientific TQ Analyst Software Chemometric Algorithms Product Overview 2009

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