Evidence map›Paper›PMID 35956697›Full record

ArticlePolymers2022

Modeling the Phase Equilibria of Associating Polymers in Porous Media with Respect to Chromatographic Applications.

Xiu Wang, Zuzana Limpouchová, Karel Procházka, Rahul Kumar Raya, Yonggang Min

Abstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiu WangSchool of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0001-8349-8665
Zuzana LimpouchováDepartment of Physical and Macromolecular Chemistry, Faculty of Science, Charles University, Hlavova 8, 128 43 Prague , Czech Republic.ORCID 0000-0002-2290-1358
Karel ProcházkaDepartment of Physical and Macromolecular Chemistry, Faculty of Science, Charles University, Hlavova 8, 128 43 Prague , Czech Republic.ORCID 0000-0003-2144-5378
Rahul Kumar RayaDepartment of Physical and Macromolecular Chemistry, Faculty of Science, Charles University, Hlavova 8, 128 43 Prague , Czech Republic.ORCID 0000-0002-3913-0211
Yonggang MinSchool of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China.

Funding

Czech Science Foundation 20-01233SNational Natural Science Foundation of China U20A20340
6 · The paper itself

Abstract

Associating copolymers self-assemble during their passage through a liquid chromatography (LC) column, and the elution differs from that of common non-associating polymers. This computational study aims at elucidating the mechanism of their unique and intricate chromatographic behavior. We focused on amphiphilic diblock copolymers in selective solvents, performed the Monte Carlo (MC) simulations of their partitioning between a bulk solvent (mobile phase) and a cylindrical pore (stationary phase), and investigated the concentration dependences of the partition coefficient and of other functions describing the phase behavior. The observed abruptly changing concentration dependences of the effective partition coefficient demonstrate the significant impact of the association of copolymers with their partitioning between the two phases. The performed simulations reveal the intricate interplay of the entropy-driven and the enthalpy-driven processes, elucidate at the molecular level how the self-assembly affects the chromatographic behavior, and provide useful hints for the analysis of experimental elution curves of associating polymers.

Indexed as

amphiphilic diblock copolymerassociationcritical micelle concentrationmicellar liquid chromatographyMonte Carlo simulationpartition coefficientsize-exclusion chromatography

Identifiers

PMID35956697
PMCPMC9370872

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.