Characterization of polyolefins using high-temperature size exclusion chromatography coupled with an infrared detector (HT-SEC-IR5)

Authors

Robert Brüll¹ , Hamza Mahmoud Aboelanin² , Subrajeet Deshmukh¹ , Tibor Macko¹ , Jan-Hendrik Arndt¹ , Stepan Podzimek²

1. Fraunhofer Institute for Structural Durability and System Reliability, Division Plastics
2. University of Pardubice, Institute of Chemistry and Technology of Macromolecular Materials

Conference / event

POLY-CHAR 2022, May 2022 (Virtual)

Poster summary

The molecular structure of polyolefins copolymers is important for the research and development of polyolefins. The chemical composition distribution of polyolefins copolymers synthesized by different catalytic systems and varying comonomer types was studied using high-temperature size exclusion chromatography (HT-SEC) coupled with a new model of an infrared detector (model IR5, PolymerChar, Valencia, Spain). The IR5 detector enables monitoring of the IR response of methyl (-CH3) and methylene groups (-CH2-) in macromolecules with high sensitivity. We have investigated the dependence of the CH3/CH2 ratio along the molar mass axis for the series of ethylene/1-alkene copolymers.

Keywords

Polyolefins, Size exclusion chromatography, Chemical composition distribution, FTIR

Research areas

Chemistry, Material Sciences

References

1. A. Ortín, J. Montesinos, E. López, P. del Hierro, B. Monrabal, J.R. Torres-Lapasió, M.C. García- Álvarez-Coque, Macromol. Symp. 2013, 330, 63
2. H. M. Aboelanin, S. Deshmukh, T. Macko, J.-H. Arndt, S. Podzimek, R. Brüll, Macromol. Symp. 2022, submitted

Funding

1. ERASMUS+ program through University of Pardubice cooperated with Fraunhofer Institute for Structural Durability and System Reliability (LBF).

Supplemental files

No data provided

Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.

Creative Commons license

Copyright © 2022 Brüll et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.