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Quantitative analysis of branched high-density polyethylene content using far-infrared spectroscopy
Ayano Kitamura1, Yuji Matsuzoe2, Naoya Okitsu3
1Graduate School of Human Development and Environment, Kobe University, 3-11 Tsurukabuto, Nada, Kobe, Hyogo 657-8501, Japan; Corporate Production Technology, Asahi Kasei Corporation, 2-1 Samejima, Fuji, Shizuoka, Japan.
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
|December 5, 2024
Summary
This study presents a simple spectroscopy method to estimate branched high-density polyethylene content. The technique accurately quantifies blends of branched and linear polyethylene using terahertz absorption spectra.
Area of Science:
- Polymer Science
- Spectroscopy
- Materials Science
Background:
- High-density polyethylene (HDPE) is a versatile polymer with varying branching structures.
- Accurate quantification of branched vs. linear polyethylene is crucial for material property prediction and quality control.
Purpose of the Study:
- To develop a straightforward spectroscopic method for quantifying the blend ratio of branched and linear high-density polyethylene.
- To validate the accuracy and reliability of the proposed spectroscopic method.
Main Methods:
- Preparation of HDPE samples with controlled blend ratios (0-100%) of branched and linear polyethylene.
- Acquisition of terahertz absorption spectra for the prepared samples across a defined spectral range (1.5-18 THz).
- Development of a multivariate calibration model correlating spectral data with known blend ratios.
Main Results:
- A highly accurate calibration model was established using terahertz absorption spectra and multivariate analysis.
- The model demonstrated a perfect correlation coefficient (R² = 1) between estimated and measured blend ratios.
- This confirms the method's validity for precise polyethylene composition analysis.
Conclusions:
- Spectroscopic analysis in the terahertz region offers a simple and highly accurate method for estimating branched high-density polyethylene content.
- The developed multivariate calibration model provides a reliable tool for quantitative analysis of polyethylene blends.
- This technique has potential applications in polymer characterization and quality assurance.
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