Abstract
Synthetic polymers typically show dispersity in molecular weight and potentially in chemical composition. For the analysis of the chemical-composition distribution (CCD) gradient liquid chromatography may be used. The CCD obtained using this method is often convoluted with an underlying molecular-weight distribution (MWD). In this paper we demonstrate that the influence of the MWD can be reduced using very steep gradients and that such gradients are best realized utilizing recycling gradient liquid chromatography (LC↻LC). This method allows for a more-accurate determination of the CCD and the assessment of (approximate) critical conditions (if these exist), even when high-molecular-weight standards of narrow dispersity are not readily available. The performance and usefulness of the approach is demonstrated for several polystyrene standards, and for the separation of statistical copolymers consisting of styrene/methyl methacrylate and methyl methacrylate/butyl methacrylate. For the latter case, approximate critical compositions of the copolymers were calculated from the critical compositions of two homopolymers and one copolymer of known chemical composition, allowing for a determination of the CCD of unknown samples. Using this approach it is shown that the copolymers elute significantly closer to the predicted critical compositions after recycling of the gradient. This is most clear for the lowest-molecular-weight copolymer (Mw = 4.2 kDa), for which the difference between measured and predicted elution composition decreases from 7.9% without recycling to 1.4% after recycling.
| Original language | English |
|---|---|
| Article number | 463386 |
| Pages (from-to) | 1-11 |
| Number of pages | 11 |
| Journal | Journal of Chromatography A |
| Volume | 1679 |
| Early online date | 28 Jul 2022 |
| DOIs | |
| Publication status | Published - 30 Aug 2022 |
Bibliographical note
Funding Information:LN acknowledges the UNMATCHED project, which is supported by BASF, DSM and Nouryon and receives funding from the Dutch Research Council (NWO) in the framework of the Innovation Fund for Chemistry (CHIPP Project 731.017.303) and from the Ministry of Economic Affairs in the framework of the “TKI-toeslagregeling”. BP acknowledges the Agilent UR grant #4354.
Funding Information:
LN acknowledges the UNMATCHED project, which is supported by BASF, DSM and Nouryon and receives funding from the Dutch Research Council (NWO) in the framework of the Innovation Fund for Chemistry (CHIPP Project 731.017.303) and from the Ministry of Economic Affairs in the framework of the “TKI-toeslagregeling”. BP acknowledges the Agilent UR grant #4354. This work was performed in the context of the Chemometrics and Advanced Separations Team (CAST) within the Centre for Analytical Sciences Amsterdam (CASA). The valuable contributions of the CAST members are gratefully acknowledged.
Publisher Copyright:
© 2022
Funding
LN acknowledges the UNMATCHED project, which is supported by BASF, DSM and Nouryon and receives funding from the Dutch Research Council (NWO) in the framework of the Innovation Fund for Chemistry (CHIPP Project 731.017.303) and from the Ministry of Economic Affairs in the framework of the “TKI-toeslagregeling”. BP acknowledges the Agilent UR grant #4354. LN acknowledges the UNMATCHED project, which is supported by BASF, DSM and Nouryon and receives funding from the Dutch Research Council (NWO) in the framework of the Innovation Fund for Chemistry (CHIPP Project 731.017.303) and from the Ministry of Economic Affairs in the framework of the “TKI-toeslagregeling”. BP acknowledges the Agilent UR grant #4354. This work was performed in the context of the Chemometrics and Advanced Separations Team (CAST) within the Centre for Analytical Sciences Amsterdam (CASA). The valuable contributions of the CAST members are gratefully acknowledged.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 12 Responsible Consumption and Production
Keywords
- Gradient elution
- Gradient Recycling
- Liquid Chromatography
- Polymer analysis
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