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Related Concept Videos

Characteristics and Nomenclature of Copolymers01:24

Characteristics and Nomenclature of Copolymers

2.5K
Copolymers are the products obtained from the polymerization of multiple monomer species. So, in a polymer chain itself, there can be multiple repeating units that come from different monomers. The process of synthesizing a polymer from different monomer species is called copolymerization. When two monomers are involved, the polymer is known as a bipolymer. Polymers with three and four monomers are termed terpolymers and quaterpolymers, respectively. Figure 1 depicts the copolymerization of...
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Molecular Weight of Step-Growth Polymers01:08

Molecular Weight of Step-Growth Polymers

2.2K
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...
2.2K
Step-Growth Polymerization: Overview01:03

Step-Growth Polymerization: Overview

3.4K
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...
3.4K
Cationic Chain-Growth Polymerization: Mechanism00:57

Cationic Chain-Growth Polymerization: Mechanism

2.3K
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...
2.3K
Polymer Classification: Stereospecificity01:26

Polymer Classification: Stereospecificity

2.4K
Polymerization generates chiral centers along the entire backbone of a polymer chain. Accordingly, the stereochemistry of the substituent group has a significant effect on polymer properties. Polymers formed from monosubstituted alkene monomers feature chiral carbons at every alternate position in the polymer backbone. Relative to the predominant orientation of substituents at the adjacent chiral carbons, the polymer can exist in three different configurations: isotactic, syndiotactic, and...
2.4K
Polymers: Molecular Weight Distribution01:10

Polymers: Molecular Weight Distribution

3.3K
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.
3.3K

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Updated: Jun 20, 2025

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

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Statistical Copolymerization-Induced Self-Assembly.

Meng Huo1, Ruixue Zhu1

  • 1Department of Chemistry, Zhejiang Sci-Tech University, Hangzhou 310018, China.

ACS Macro Letters
|July 18, 2024
PubMed
Summary
This summary is machine-generated.

Statistical copolymerization-induced self-assembly (stat-PISA) creates stable, high-concentration polymer assemblies in one step. These assemblies show promise as superior Pickering emulsifiers, applicable to industrial-scale free radical polymerization.

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Using Polystyrene-block-polyacrylic acid-coated Metal Nanoparticles as Monomers for Their Homo- and Co-polymerization
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Synthesis of Monodisperse Cylindrical Nanoparticles via Crystallization-driven Self-assembly of Biodegradable Block Copolymers
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Self-assembling Morphologies Obtained from Helical Polycarbodiimide Copolymers and Their Triazole Derivatives
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Using Polystyrene-block-polyacrylic acid-coated Metal Nanoparticles as Monomers for Their Homo- and Co-polymerization
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Synthesis of Monodisperse Cylindrical Nanoparticles via Crystallization-driven Self-assembly of Biodegradable Block Copolymers
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Area of Science:

  • Polymer Chemistry
  • Materials Science
  • Supramolecular Chemistry

Background:

  • Statistical copolymers are widely used due to ease of synthesis and functionalization.
  • Traditional self-assembly methods for statistical copolymers suffer from high interfacial energy, poor stability, and low concentrations.
  • Existing methods limit the practical applications of statistical copolymer assemblies.

Purpose of the Study:

  • To introduce statistical copolymerization-induced self-assembly (stat-PISA) as a general strategy.
  • To demonstrate a one-step method for preparing stable statistical copolymer assemblies with high solids content.
  • To explore the potential of these assemblies as Pickering emulsifiers.

Main Methods:

  • Dispersion polymerization using a charged hydrophilic monomer and a core-forming monomer.
  • Utilizing a spinodal decomposition mechanism with an interconnected network intermediate.
  • Tuning assembly properties by varying monomer fractions, polymer length, and solids content.

Main Results:

  • Spherical micelles were successfully produced via stat-PISA.
  • The process demonstrated tunability based on key parameters.
  • Statistical copolymer micelles exhibited superior Pickering emulsification performance compared to block copolymer counterparts.
  • The strategy was validated across various surface charges and chemical compositions.

Conclusions:

  • Stat-PISA is a versatile, one-step method for creating stable statistical copolymer assemblies.
  • These assemblies offer enhanced performance as Pickering emulsifiers.
  • The feasibility for conventional free radical polymerization suggests significant industrial scale-up potential.