4.8 Review

Photoinduced Organocatalyzed Atom Transfer Radical Polymerization (O-ATRP): Precision Polymer Synthesis Using Organic Photoredox Catalysis

期刊

CHEMICAL REVIEWS
卷 122, 期 2, 页码 1830-1874

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.chemrev.1c00603

关键词

-

资金

  1. Colorado State University
  2. National Science Foundation Division of Chemistry [2055742]
  3. Research Corporation for Science Advancement (Cottrell Scholar Award)
  4. National Institute of General Medical Sciences of the National Institutes of Health [R35GM119702]
  5. Direct For Mathematical & Physical Scien
  6. Division Of Chemistry [2055742] Funding Source: National Science Foundation

向作者/读者索取更多资源

The development of photoinduced organocatalyzed atom transfer radical polymerization (O-ATRP) has attracted significant attention due to its ability to produce well-defined polymers under mild reaction conditions using organic photoredox catalysts. However, further investigation is needed to address the limitations of this method and expand its capabilities and applications.
The development of photoinduced organocatalyzed atom transfer radical polymerization (O-ATRP) has received considerable attention since its introduction in 2014. Expanding on many of the advantages of traditional ATRP, O-ATRP allows well-defined polymers to be produced under mild reaction conditions using organic photoredox catalysts. As a result, O-ATRP has opened access to a range of sensitive applications where the use of a metal catalyst could be of concern, such as electronics, certain biological applications, and the polymerization of coordinating monomers. However, key limitations of this method remain and necessitate further investigation to continue the development of this field. As such, this review details the achievements made to-date as well as future research directions that will continue to expand the capabilities and application landscape of O-ATRP.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据