用于制造生物医学应用聚合物纳米颗粒的分散聚合诱导自组装(Pisa)技术。

Nanotechnology letters Pub Date : 2023-01-01 Epub Date: 2023-01-28
Emmanuel O Akala
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引用次数: 0

摘要

纳米粒子在给药方面具有多种优势。用于生物医学应用的纳米粒子的开发进度已从第一代纳米粒子发展到第五代纳米粒子,这一转变反映了纳米粒子在生物医学应用中日益广泛的用途。聚合物纳米粒子主要通过两种方法制备:预成型聚合物的分散以及单体和大单体的原位聚合。聚合诱导自组装(PISA)被认为是一种比用预制聚合物制备纳米粒子更好的策略(易于将目标配体系在纳米粒子的冠层上),而且与 PISA 不同的是,通过嵌段共聚物的自组装可以在低浓度下制造纳米结构。分散聚合涉及纳米粒子的一次合成。原子转移自由基聚合、可逆加成-碎片链转移聚合和硝基氧化物介导聚合等 RDRP 过程为聚合物化学家提供了控制结构、成分和链长分布的强大工具,从而彻底改变了聚合物合成。本报告介绍了在常温下通过分散聚合(PISA)制造纳米颗粒的技术,并举例说明了我们实验室使用 FDA 批准的生物可降解聚合物进行有机氧化还原引发聚合的情况。计算机优化有助于了解确保载药纳米粒子性能优化的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dispersion polymerization induced self-assembly (pisa) techniques for the fabrication of polymeric nanoparticles for biomedical applications.

Nanoparticles offer several advantages in drug delivery. The progress in the development of nanoparticles for biomedical applications has moved from the first generation nanoparticles to the fifth generation nanoparticles and the transitions reflect their increasing versatility in biomedical applications. Polymeric nanoparticles are prepared mainly by two methods: dispersion of preformed polymers and in situ polymerization of monomers and macromonomers. Polymerization induced self-assembly (PISA) for the fabrication of nanoparticles is believed to be a better strategy than nanoparticle fabrication from preformed polymers (ease of tethering targeting ligands to the corona of the nanoparticles and unlike PISA, creation of nanostructures via self-assembly of block copolymers is performed in low concentrations. Dispersion polymerization involves one-pot synthesis of nanoparticles. RDRP processes such as atom transfer radical polymerization, reversible addition-fragmentation chain transfer polymerization and nitroxide mediated polymerization have revolutionized polymer synthesis by providing polymer chemists with powerful tools that enable control over architecture, composition and chain length distributions. The technique for the fabrication of nanoparticles by dispersion polymerization (PISA) at ambient temperature was described with examples from our laboratory involving organic redox initiated polymerization using the FDA approved biodegradable polymers. Computer optimization is useful in understanding the factors that ensure optimized properties of drug-loaded nanoparticles.

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