功能化多孔材料的制备及其在特异性识别分离中的应用
收稿日期: 2019-01-21
要求修回日期: 2019-05-06
网络出版日期: 2019-05-13
基金资助
国家自然科学基金项目(21705060)
国家自然科学基金项目(21605105)
镇江市社会发展重点项目基金(SH2018011)
版权
Synthesis of the Functionalized Porous Materials and Their Applications in the Specific Recognition and Separation
Received date: 2019-01-21
Request revised date: 2019-05-06
Online published: 2019-05-13
Supported by
National Natural Science Foundation of China(21705060)
National Natural Science Foundation of China(21605105)
Social Development Key Project Fund of Zhenjiang(SH2018011)
Copyright
贾强 , 宋洪伟 , 唐盛 , 王静 , 彭银仙 . 功能化多孔材料的制备及其在特异性识别分离中的应用[J]. 化学进展, 2019 , 31(8) : 1148 -1158 . DOI: 10.7536/PC190131
Functionalized porous materials(FPMs) as ideal materials for specific idenpngication and separation have attracted a great deal of attention due to their excellent controllability of preparation, great specific surface area and unique three-dimensional macrostructures with well-defined interconnected porous networks. In this paper, the preparation of FPMs and their applications in specific recognition and separation are reviewed and prospected systematically. Firstly, the basic theory of the preparation of FPMs and the concept of frontier design are expounded systematically. Then, through the in-depth analysis of the preparation principle and key factors during synthesis of FPMs, the mechanism and applications for FPMs in the fields of specific recognition, extraction natural functional ingredients, separation and removal pollutants and catalytic reaction are reviewed. The problems and development trends of FPMs in the fields of specific recognition, catalysis and separation are analyzed and forecasted.
[1] |
|
[2] |
|
[3] |
|
[4] |
|
[5] |
|
[6] |
|
[7] |
|
[8] |
|
[9] |
|
[10] |
|
[11] |
|
[12] |
|
[13] |
任浩(Ren H), 朱广山(Zhu G S) . 化学学报( Acta Chimica Sinica), 2015,73:587.
|
[14] |
|
[15] |
|
[16] |
|
[17] |
|
[18] |
|
[19] |
|
[20] |
|
[21] |
|
[22] |
|
[23] |
|
[24] |
|
[25] |
|
[26] |
|
[27] |
|
[28] |
|
[29] |
|
[30] |
|
[31] |
|
[32] |
|
[33] |
|
[34] |
|
[35] |
|
[36] |
|
[37] |
|
[38] |
|
[39] |
|
[40] |
|
[41] |
|
[42] |
|
[43] |
|
[44] |
|
[45] |
|
[46] |
|
[47] |
|
[48] |
|
[49] |
|
[50] |
|
[51] |
|
[52] |
|
[53] |
|
[54] |
|
[55] |
|
[56] |
|
[57] |
|
[58] |
|
[59] |
|
[60] |
|
[61] |
|
[62] |
|
[63] |
|
[64] |
|
[65] |
|
[66] |
|
[67] |
|
[68] |
|
[69] |
|
[70] |
|
[71] |
|
[72] |
|
[73] |
|
[74] |
|
[75] |
|
[76] |
|
[77] |
|
[78] |
|
[79] |
|
[80] |
|
[81] |
|
[82] |
|
[83] |
|
[84] |
|
[85] |
|
[86] |
|
[87] |
|
[88] |
|
[89] |
|
[90] |
|
[91] |
|
[92] |
|
[93] |
|
[94] |
|
[95] |
|
[96] |
|
[97] |
|
[98] |
|
[99] |
|
[100] |
|
[101] |
|
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|
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