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相关概念视频

Cationic Chain-Growth Polymerization: Mechanism00:57

Cationic Chain-Growth Polymerization: Mechanism

2.2K
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...
2.2K
Radical Chain-Growth Polymerization: Overview01:10

Radical Chain-Growth Polymerization: Overview

2.3K
Chain-growth or addition polymerization is successive addition reactions of monomers with a polymer chain. In radical chain-growth polymerization, the reaction proceeds via a free-radical intermediate. The free radical is formed from radical initiators, which spontaneously generate free radicals by homolytic fission. Organic peroxides (such as dibenzoyl peroxide, as shown in Figure 1) or azo compounds are popular radical initiators. A low concentration ratio of radical initiator to monomer is...
2.3K
ATP and Macromolecule Synthesis01:28

ATP and Macromolecule Synthesis

5.2K
Biological macromolecules are organic compounds, predominantly composed of carbon atoms. The carbon atoms are covalently bonded with hydrogen, oxygen, nitrogen, and other minor elements. There are four major biological macromolecule classes: carbohydrates, lipids, proteins, and nucleic acids.
Most macromolecules are composed of single subunits, or building blocks, called monomers. The monomers combine with each other using covalent bonds to form larger molecules known as polymers.
Conversion of...
5.2K
PCR01:32

PCR

204.7K
Overview
204.7K
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
Molecular Weight of Step-Growth Polymers01:08

Molecular Weight of Step-Growth Polymers

2.1K
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...
2.1K

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相关实验视频

Updated: May 28, 2025

Combinatorial Synthesis of and High-throughput Protein Release from Polymer Film and Nanoparticle Libraries
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Combinatorial Synthesis of and High-throughput Protein Release from Polymer Film and Nanoparticle Libraries

Published on: September 6, 2012

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通过动力陷编码的高速组合聚合.

Félix Benoist1, Pablo Sartori1

  • 1Gulbenkian Institute for Molecular Medicine, Oeiras, Portugal.

Physical review letters
|February 10, 2025
PubMed
概括
此摘要是机器生成的。

这项研究建议利用动力陷,而不是避免它们,以实现复杂结构的高速,准确的自组装. 通过雕塑运动路径,研究人员可以在软物质系统中编码信息,以便进行先进的计算.

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Polymer Microarrays for High Throughput Discovery of Biomaterials
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相关实验视频

Last Updated: May 28, 2025

Combinatorial Synthesis of and High-throughput Protein Release from Polymer Film and Nanoparticle Libraries
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Combinatorial Synthesis of and High-throughput Protein Release from Polymer Film and Nanoparticle Libraries

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DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation
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科学领域:

  • 软物质物理学 软物质物理学
  • 计算生物学 计算生物学
  • 材料科学 材料科学 材料科学

背景情况:

  • 自组装是从简单的组件中创建复杂结构的关键策略,模仿蛋白质复合体形成等自然过程.
  • 当前的模型通常将自组装目标视为自由能量最小值,但快速组装可能会导致动力陷,降低准确性.
  • 在自组装中调和速度,精度和组合组件的使用仍然是一个挑战.

研究的目的:

  • 通过利用动力陷,提出一种用于高速,高精度自组装的新战略.
  • 为了证明如何雕塑动态路径,而不是自由能量景观,可以编码目标结构.
  • 为在非平衡软物质系统中提供信息处理框架.

主要方法:

  • 开发一个最小的玩具模型,以正式化拟议的自组装策略.
  • 在模型中对编码能力和动力特征的分析估计.
  • 通过计算模拟验证理论预测.

主要成果:

  • 这项研究成功地证明了可以利用动力陷来编码目标结构.
  • 对模型的编码能力和动力学的分析估计与模拟结果一致.
  • 拟议的方法提供了一种实现高速和高精度自组装的方法.

结论:

  • 利用动力路径为自组装提供了一个强大的替代传统的自由能量景观雕塑的强大选择.
  • 这种方法可以在远离平衡的软物质系统中实现高维信息处理.
  • 这些发现在DNA原形,蛋白质组装和使用液体混合物或弹性网络进行计算等领域有潜在的应用.