Characterization of ethylene-propylene-diene terpolymers using high-temperature size exclusion chromatography coupled with an ultraviolet detector

Authors

Subrajeet Deshmukh¹ , Robert Brüll¹ , Tibor Macko¹ , Jan Hendrik Arndt¹ , Raffaele Bernardo² , Sander Niessen²

1. Fraunhofer Institute for Structural Durability and System Reliability
2. ARLANXEO Netherlands B.V.

Conference / event

PolyChar 2022, May 2022 (Virtual)

Poster summary

The distribution of the pendant double bond along the molar mass axis impacts the vulcanization behavior of ethylene-propylene-diene (EPDM) terpolymers. Yet, the analysis of this parameter has so far been hampered by the lack of suitable detection methods. Towards this goal we have investigated the potential of Ultraviolet detection for high temperature size exclusion chromatography of EPDM terpolymers containing 5-ethylidene-2-norbornene (ENB), dicyclopentadiene (DCPD), and vinyl norbornene (VNB) as termonomer. The influence of termonomer on the spectroscopic response was probed. EPDM containing ENB showed a significantly stronger UV-absorption compared to terpolymers with VNB and DCPD. An evaporative light scattering detector (ELSD) was employed to monitor the analyte concentration, in combination with the UV detector, to quantitatively measure the distribution of ENB content along the molar mass distribution. This work could be feasible for the other two commercial relevant termonomers DCPD and VNB.

Keywords

High temperature - size exclusion chromatography, Ethylene propylene diene polymers, Ultraviolet detector, Structure property relationships, Comonomer distribution

Research areas

Chemistry, Material Sciences

References

1. Deshmukh, S., Brüll, R., Macko, T., Arndt, J.H., Bernardo, R., Niessen, S., 2022. Characterization of ethylene-propylene-diene terpolymers using high-temperature size exclusion chromatography coupled with an ultraviolet detector. Polymer, 242, p.124585.

Funding

No data provided

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 Deshmukh 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.