Robust, Efficient and Orthogonal Synthesis of Polymeric Materials

稳健、高效、正交的高分子材料合成

• 批准号: 0957492
• 负责人: Craig Hawker
• 金额: $ 39万
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-04-01 至 2014-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0957492&HistoricalAwards=false
• 关键词: Robust; Efficient; Orthogonal; Synthesis; Polymeric

In this project funded by the Macromolecular, Supramolecular and Nanochemistry Program of the Chemistry Division, Craig Hawker of the University of California at Santa Barbara will develop strategies for utilizing ketene chemistry as a synthetic tool for creating modular polymer and soft materials. The approach is to discover reaction conditions for the low temperature, quantitative generation of ketenes from Meldrum's acid and its derivatives. The precursor moieties would then be placed at the side chains, chain ends and interiors of polymers and on surfaces in order to explore the modular chemical functionalization of such substrates, exploiting the rich chemistry of ketenes. The broader impacts involve advancing teaching, training and learning through the development of a course on communication and presentation design, organizing an ACS Symposium on "click" chemistry approaches to polymer and materials synthesis, and funding local minority undergraduate students to attend the Dow Foundation Lecture Series.This work will expand the repertoire of chemistry that can be used to create new polymers and materials. The results of these studies could have many important long term impacts on a variety of applications and industries in which polymeric materials are important, including fine chemicals, coatings, electronics, and biotechnology.

在这个由化学系大分子、超分子和纳米化学项目资助的项目中，圣巴巴拉的加州大学的克雷格霍克将开发利用乙烯酮化学作为合成工具来制造模块化聚合物和软材料的策略。该方法是发现反应条件的低温，定量生成烯酮从米氏酸及其衍生物。 然后将前体部分放置在聚合物的侧链、链端和内部以及表面上，以探索这种基底的模块化化学官能化，利用烯酮的丰富化学性质。 更广泛的影响包括通过开发交流和演示设计课程来推进教学、培训和学习，组织ACS研讨会，讨论聚合物和材料合成的“点击”化学方法，并资助当地少数民族本科生参加陶氏基金会系列讲座。这项工作将扩大可用于制造新聚合物和材料的化学知识库。 这些研究的结果可能对聚合物材料重要的各种应用和行业产生许多重要的长期影响，包括精细化工，涂料，电子和生物技术。