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高通量和组合方法在多功能聚合物开发中的应用。

High-Throughput and Combinatorial Approaches for the Development of Multifunctional Polymers.

机构信息

Institute of Active Polymers, Helmholtz-Zentrum Hereon, 14513, Teltow, Germany.

出版信息

Macromol Rapid Commun. 2022 Jun;43(12):e2100400. doi: 10.1002/marc.202100400. Epub 2021 Sep 15.

DOI:10.1002/marc.202100400
PMID:34460146
Abstract

High-throughput (HT) development of new multifunctional polymers is accomplished by the combination of different HT tools established in polymer sciences in the last decade. Important advances are robotic/HT synthesis of polymer libraries, the HT characterization of polymers, and the application of spatially resolved polymer library formats, explicitly microarray and gradient libraries. HT polymer synthesis enables the generation of material libraries with combinatorial design motifs. Polymer composition, molecular weight, macromolecular architecture, etc. may be varied in a systematic, fine-graded manner to obtain libraries with high chemical diversity and sufficient compositional resolution as model systems for the screening of these materials for the functions aimed. HT characterization allows a fast assessment of complementary properties, which are employed to decipher quantitative structure-properties relationships. Moreover, these methods facilitate the HT determination of important surface parameters by spatially resolved characterization methods, including time-of-flight secondary ion mass spectrometry and X-ray photoelectron spectroscopy. Here current methods for the high-throughput robotic synthesis of multifunctional polymers as well as their characterization are presented and advantages as well as present limitations are discussed.

摘要

通过将过去十年中在聚合物科学中建立的不同高通量(HT)工具相结合,实现了新型多功能聚合物的高通量开发。重要的进展包括机器人/HT 聚合物库的合成、聚合物的 HT 表征以及空间分辨聚合物库格式(明确的微阵列和梯度库)的应用。HT 聚合物合成能够生成具有组合设计图案的材料库。可以系统地、精细地改变聚合物的组成、分子量、大分子结构等,以获得具有高化学多样性和足够组成分辨率的库,作为用于筛选这些材料的功能的模型系统。HT 表征允许快速评估互补性质,这些性质被用于破译定量结构-性质关系。此外,这些方法通过空间分辨表征方法,包括飞行时间二次离子质谱和 X 射线光电子能谱,促进了重要表面参数的 HT 测定。本文介绍了多功能聚合物的高通量机器人合成及其表征的当前方法,并讨论了它们的优点和目前的局限性。

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