期刊
POLYMER REVIEWS
卷 55, 期 1, 页码 57-89出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/15583724.2014.963235
关键词
molecular-sieve membrane; chemical structure; gas permeation membrane; two-dimensional polymer; membrane forming ability; synthesis
资金
- Overseas Scholars Foundation of the Education Department of Heilongjiang province of China [1254HQ008]
- National Natural Science Foundation of China [U1162123, 51103076, 21376127]
- Natural Science Foundation of Heilongjiang Province of China [LC2011C12, ZD201101]
- Scientific Research Fund of Chinese Education Department for Returned Overseas Students [20121707]
- Grant for promotion of Niigata University Research Projects
- Grants-in-Aid for Scientific Research [26620096] Funding Source: KAKEN
Although two-dimensional polymers (2DPs) and related materials are very attractive subjects for research because they are expected to function as ideal gas separation membrane materials, we need to answer some basic questions about them. For example, Why are they not a common or popular topic, especially in textbooks?; How can they be synthesized?; and Whatever are 2DPs? and How can we define 2DPs? In this review, we try to answer these questions. First, the significance of 2DP as molecular-sieving membrane materials is explained in Section 1. Second, the definitions and classifications are proposed that take into account their first-order and high-order structures in Section 2. Third, syntheses and function of a few real 2DPs and many related polymers described in the literature are reviewed, including such materials as covalent organic frameworks(COFs), carbonized molecular sieving membranes(CMSMs), polymers of intrinsic porosity(PIM), and our recent results on the synthesis and function of 2DPs and related polymers in Sections 3 and 4. Finally, in Section 5 we evaluate the two-dimensional (2D) characters of 2DPs described in Section 3 using some 2D characteristic values defined in Section 2, and the future of 2DPs is discussed in Section 6.
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