Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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...
Determination of Molar Masses of Polymers I01:24

Determination of Molar Masses of Polymers I

Polymerization produces macromolecules with a range of chain lengths due to the random nature of molecular growth processes. As chains form and terminate at different stages, a single polymer sample contains molecules of varying sizes rather than a uniform structure. This variability is described using average molar masses and distribution-related parameters, which together provide a comprehensive understanding of polymer characteristics.The distribution of molar masses plays a critical role in...
Cationic Chain-Growth Polymerization: Mechanism00:57

Cationic Chain-Growth Polymerization: Mechanism

The cationic polymerization mechanism consists of three steps: initiation, propagation, and termination. In the initiation step of the polymerization process, the π bond of a monomer gets protonated by the Lewis acid catalyst, which is formed from boron trifluoride and water. The protonation of the π bond generates a carbocation stabilized by the electron‐donating group. In the propagation step, the π bond of the second monomer acts as a nucleophile and attacks the generated carbocation,...
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...
Determination of Molar Masses of Polymers II01:27

Determination of Molar Masses of Polymers II

Polymer samples typically consist of macromolecular chains with a distribution of lengths, resulting in a range of molar masses rather than a single discrete value. Conventional descriptors such as the number-average molar mass and weight-average molar mass quantify this distribution but do not fully capture polymer behavior in solution..The viscosity-average molar mass provides a more realistic description of polymer behavior in solution because it accounts for the enhanced contribution of...
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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Redistribution of Gaze Patterns in Facial Localized Scleroderma Following Autologous Fat Transfer: An Eye-Tracking Study.

Aesthetic plastic surgery·2026
Same author

A negative regulator of mitochondrial complex I assembly adapts respiration to cellular energy demand.

Molecular cell·2026
Same author

Mitigating nucleus pulposus cell senescence in intervertebral disk degeneration: the role of nodakenin in SIRT6 and PINK1/Parkin-associated mitophagy signaling.

Cellular & molecular biology letters·2026
Same author

Special Issue on Artificial Intelligence in Polymer Science.

Macromolecular rapid communications·2026
Same author

Mitochondrial proteases maintain cellular protein homeostasis and tissue integrity.

Cell & bioscience·2026
Same author

Gelatin macromolecular microspheres constructed by microfluidics regulate the TNF/HIF-1 signaling axis to reshape the bone immune microenvironment and enhance infectious bone defect repair.

Materials today. Bio·2026

Related Experiment Video

Updated: Jun 27, 2026

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions
11:38

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions

Published on: April 19, 2018

Microphase separation in multigraft copolymer melts studied by random-phase approximation and self-consistent field

Liquan Wang1, Liangshun Zhang, Jiaping Lin

  • 1Key Laboratory for Ultrafine Materials of Ministry of Education, School of Materials Science and Engineering, East China University of Science and Technology, Shanghai 200237, People's Republic of China.

The Journal of Chemical Physics
|December 3, 2008
PubMed
Summary

The number of graft arms on multigraft copolymers significantly impacts their phase behavior. Increasing graft arms alters phase transitions, domain size, and interfacial width, aligning with experimental data.

More Related Videos

Self-assembling Morphologies Obtained from Helical Polycarbodiimide Copolymers and Their Triazole Derivatives
09:22

Self-assembling Morphologies Obtained from Helical Polycarbodiimide Copolymers and Their Triazole Derivatives

Published on: February 7, 2017

Synthesis of Monodisperse Cylindrical Nanoparticles via Crystallization-driven Self-assembly of Biodegradable Block Copolymers
11:42

Synthesis of Monodisperse Cylindrical Nanoparticles via Crystallization-driven Self-assembly of Biodegradable Block Copolymers

Published on: June 20, 2019

Related Experiment Videos

Last Updated: Jun 27, 2026

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions
11:38

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions

Published on: April 19, 2018

Self-assembling Morphologies Obtained from Helical Polycarbodiimide Copolymers and Their Triazole Derivatives
09:22

Self-assembling Morphologies Obtained from Helical Polycarbodiimide Copolymers and Their Triazole Derivatives

Published on: February 7, 2017

Synthesis of Monodisperse Cylindrical Nanoparticles via Crystallization-driven Self-assembly of Biodegradable Block Copolymers
11:42

Synthesis of Monodisperse Cylindrical Nanoparticles via Crystallization-driven Self-assembly of Biodegradable Block Copolymers

Published on: June 20, 2019

Area of Science:

  • Polymer Science
  • Materials Chemistry
  • Computational Chemistry

Background:

  • Multigraft copolymers exhibit complex phase behavior influenced by molecular architecture.
  • Understanding microphase separation is crucial for designing advanced polymeric materials.

Purpose of the Study:

  • To investigate the effect of graft arm number on the microphase separation of AB multigraft copolymers.
  • To analyze changes in phase behavior, domain size, and interfacial width with varying graft densities.

Main Methods:

  • Utilized random-phase approximation (RPA) theory.
  • Employed real-space implemented self-consistent field (SCF) theory for calculations.

Main Results:

  • The number of graft arms per junction significantly influences copolymer phase behavior.
  • Increasing graft arms shifts the spinodal and narrows the ordered region.
  • Domain size decreases, and interfacial width increases with more graft arms.

Conclusions:

  • Theoretical predictions show good agreement with existing experimental observations for strongly segregated systems.
  • Graft arm density is a critical parameter controlling the morphology of multigraft copolymers.