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Related Concept Videos

Step-Growth Polymerization: Overview01:03

Step-Growth Polymerization: Overview

Step-growth or condensation polymerization is a stepwise reaction of bi or multifunctional monomers to form long-chain polymers. As all the monomers are reactive, most of the monomers are consumed at the early stages of the reaction to form small chains of reactive oligomers, which then combine to form long polymer chains in the late stages. Hence, the reaction has to proceed for a long time to achieve high molecular weight polymers.
Many natural and synthetic polymers are produced by...
Polymers: Molecular Weight Distribution01:10

Polymers: Molecular Weight Distribution

For any given polymer, the weight average molecular weight (Mw) is higher than, if not equal to, the number average molecular weight (Mn). The only situation in which the weight average molecular weight and the number average molecular weight are equal is when a polymer consists only of chains with equal molecular weight. However, this never happens in a synthetic polymer, since it is difficult to control the polymerization process up to a molecular level with accuracy to a hundred percent.
Ziegler–Natta Chain-Growth Polymerization: Overview01:17

Ziegler–Natta Chain-Growth Polymerization: Overview

Ziegler–Natta polymerization is another form of addition or chain‐growth polymerization used for synthesizing linear polymers over branched polymers. The catalyst used for polymerization is the Ziegler–Natta catalyst, named after Karl Ziegler and Giulio Natta, who developed it in 1953. This catalyst is an organometallic complex of titanium tetrachloride and triethyl aluminum, with the active form of the catalyst being an alkyl titanium compound. Using the Ziegler–Natta catalyst, high molecular...
Polymer Classification: Crystallinity01:21

Polymer Classification: Crystallinity

Unlike ionic or small covalent molecules, polymers do not form crystalline solids due to the diffusion limitations of their long-chain structures. However, polymers contain microscopic crystalline domains separated by amorphous domains.
Crystalline domains are the regions where polymer chains are aligned in an orderly manner and held together in proximity by intermolecular forces. For example, chains in the crystalline domains of polyethylene and nylon are bound together by van der Waals...
Molecular Weight of Step-Growth Polymers01:08

Molecular Weight of Step-Growth Polymers

Step growth polymerization involves bi or multifunctional monomers. Bifunctional monomers react to form linear step growth polymers, whereas multifunctional monomers react to form non-linear or branched polymers.
As the step-growth polymerization involves step-wise condensation of monomers, the molecular weight also builds up eventually. Consequently, high molecular weight polymers are obtained at the late stages of the polymerization, where 99% of monomers have been consumed.
The extent of the...
Anionic Chain-Growth Polymerization: Mechanism01:04

Anionic Chain-Growth Polymerization: Mechanism

The mechanism for anionic chain-growth polymerization involves initiation, propagation, and termination steps. In the initiation step, a nucleophilic anion, such as butyl lithium, initiates the polymerization process by attacking the π bond of the vinylic monomer. As a result, a carbanion, stabilized by the electron‐withdrawing group, is generated. The resulting carbanion acts as a Michael donor in the propagation step and attacks the second vinylic monomer, which acts as a Michael acceptor.

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Related Experiment Video

Updated: Jul 3, 2026

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

Brownian particles in transient polymer networks.

Joris Sprakel1, Jasper van der Gucht, Martien A Cohen Stuart

  • 1Laboratory of Physical Chemistry and Colloid Science, Wageningen University, Dreijenplein 6, HB Wageningen, The Netherlands. Joris.Sprakel@wur.nl

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|July 23, 2008
PubMed
Summary
This summary is machine-generated.

Thermal motion of bound colloidal particles in polymer networks transitions from diffusive to Rouse-like dynamics. This study explains short-time Rouse scaling using a bead-spring model, offering insights into polymer dynamics.

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Last Updated: Jul 3, 2026

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
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Published on: September 26, 2016

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
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Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

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Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes
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Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes

Published on: July 19, 2022

Area of Science:

  • Soft Matter Physics
  • Polymer Science
  • Colloidal Science

Background:

  • Understanding colloidal particle dynamics in polymer networks is crucial for material science.
  • Transient polymer networks exhibit complex viscoelastic properties.
  • The behavior of particles within these networks dictates macroscopic material characteristics.

Purpose of the Study:

  • To investigate the thermal motion of colloidal particles in transient polymer networks.
  • To elucidate the transition in particle dynamics upon network formation.
  • To develop a theoretical model explaining experimental observations of particle mean-square displacement.

Main Methods:

  • Light-scattering experiments were employed to probe submillisecond dynamics.
  • A bead-spring model was developed to simulate a colloidal particle interacting with polymer chains.
  • Analysis of mean-square displacement (MSD) at various time scales.

Main Results:

  • Bound colloidal particles exhibit a transition from diffusive to Rouse-like dynamics at the network formation threshold.
  • Unbound particles do not display this dynamic transition.
  • A caging plateau and slow diffusive motion were observed at longer time scales.
  • The bead-spring model successfully explains the Rouse scaling of MSD at short time scales.

Conclusions:

  • The study provides a mechanistic understanding of colloidal particle dynamics in transient polymer networks.
  • Experimental findings are consistent with the developed theoretical bead-spring model.
  • The research highlights the importance of particle-polymer interactions in determining network dynamics.