Literature DB >> 11459299

Polymer characterization by size-exclusion chromatography with multiple detection.

M Teresa1, R Laguna, R Medrano, M P Plana, M P Tarazona.   

Abstract

Size-exclusion chromatography with coupled multiangle light scattering and differential refractometry detectors has been used to obtain molecular mass and radius of gyration distributions of polydisperse polymer samples. From these data the scaling law between dimensions and the absolute molecular mass is obtained with just one sample of each polymer. Three different kinds of polymers are presented: polystyrene which serves as reference polymer, polyphosphazenes which behave abnormally in solution and poly(ethylene oxide) which is soluble in water. Since the relationship between dimensions and molecular mass depends on the extent of interactions between chain segments and solvent molecules, the scaling law provides information about the solution properties of the polymer.

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Year:  2001        PMID: 11459299     DOI: 10.1016/s0021-9673(01)00802-0

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  3 in total

1.  Characterization data of reference industrial polycarboxylate superplasticizers used within Priority Program DFG SPP 2005 "Opus Fluidum Futurum - Rheology of reactive, multiscale, multiphase construction materials".

Authors:  L Lei; C Chomyn; M Schmid; J Plank
Journal:  Data Brief       Date:  2020-07-15

2.  Characterization data of reference industrial polycarboxylate superplasticizer VP 2020/15.2 used for Priority Program DFG SPP 2005 "Opus Fluidum Futurum - Rheology of reactive, multiscale, multiphase construction materials".

Authors:  Lin Zhang; Ran Li; Lei Lei; Johann Plank
Journal:  Data Brief       Date:  2021-11-30

3.  Adsorbed Conformations of PCE Superplasticizers in Cement Pore Solution Unraveled by Molecular Dynamics Simulations.

Authors:  Tsuyoshi Hirata; Jun Ye; Paulo Branicio; Jianwei Zheng; Alex Lange; Johann Plank; Michael Sullivan
Journal:  Sci Rep       Date:  2017-11-30       Impact factor: 4.379

  3 in total

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