期刊
ADVANCES IN COLLOID AND INTERFACE SCIENCE
卷 256, 期 -, 页码 126-151出版社
ELSEVIER
DOI: 10.1016/j.cis.2018.04.010
关键词
Nonspherical polymer particles; Janus particles; Anisotropic colloids; Colloidal crystals; Seeded polymerization
资金
- National Natural Science Foundation of China [21574072, 21675091, 21375069, 21404065]
- Natural Science Foundation for Distinguished Young Scientists of Shandong Province [JQ201403]
- Taishan Young Scholar Program of Shandong Province [tsqn20161027]
- Key Research and Development Project of Shandong Province [2016GGX102028, 2016GGX102039]
- Project of Shandong Province Higher Educational Science and Technology Program [J15LC20]
- Scientific Research Foundation for the Returned Overseas Chinese Scholars of State Education Ministry [20111568]
- People's Livelihood Science and Technology Project of Qingdao [166257nsh, 173378nsh]
- Qingdao youth project of source innovation program [171183jch, 171124jch]
- China Postdoctoral Science Foundation [2017M612192]
- Postdoctoral Scientific Research Foundation of Qingdao [2015128]
- Innovation Leader Project of Qingdao [168325zhc]
- First Class Discipline Project of Shandong Province [2016001]
Nonspherical polymer particles (NPPs) are nano/micro-particulates of macromolecules that are anisotropic in shape, and can be designed anisotropic in chemistry. Due to shape and surface anisotropies, NPPs bear many unique structures and fascinating properties which are distinctly different from those of spherical polymer particles (SPPs). In recent years, the research on NPPs has surprisingly blossomed in recent years, and many practical materials based on NPPs with potential applications in photonic device, material science and biomedical engineering have been generated. In this review, we give a systematic, balanced and comprehensive summary of the main aspects of NPPs related to their preparation and application, and propose perspectives for the future developments of NPPs. (C) 2018 Elsevier B.V. All rights reserved.
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。
推荐
暂无数据
分享论文
