Building N‐Heterocyclic Carbene into Triazine‐Linked Polymer for Multiple CO2 Utilization
文献类型:期刊论文
作者 | Chengtao Yue; Wenlong Wang; Li FW(李福伟) |
刊名 | ChemSusChem |
出版日期 | 2020-09 |
卷号 | 13期号:22页码:5996 |
DOI | doi.org/10.1002/cssc.202002154 |
英文摘要 | The development of new CO2 detection technologies and CO2 “capture‐conversion” materials is of great significance due to the growing environmental crisis. Here, multifunctional triazine‐linked polymers with built‐in N‐heterocyclic carbene (NHC) sites (designated as NHC‐triazine@polymer) are presented for simultaneous CO2 detection, capture, activation, and catalytic conversion. NHC‐triazine@polymer were readily obtained through polymerization of cyanophenyl‐substituted NHC. The obtained film‐like polymers exhibited interesting CO2‐triggered fluorescence “turn‐on” response and CO2‐sensitive reversible color change. Both NHC and triazine sites could act as efficient binding sites for CO2, and the CO2 uptake of NHC and triazine reached 1.52 and 1.36 mmol g−1, respectively. Notably, after being captured by NHC, CO2 was activated into a zwitterionic adduct NHC−CO2 that could be easily transformed into cyclic carbonate in the presence of epoxides. Moreover, NHC‐triazine@polymer were stable and active catalysts for the conversion of low‐concentration CO2 in a gas mixture (7 vol %) into cyclic carbonates as well as for hydrosilylation of CO2 to formamides. |
语种 | 英语 |
源URL | [http://ir.licp.cn/handle/362003/27050] |
专题 | 兰州化学物理研究所_OSSO国家重点实验室 |
通讯作者 | Chengtao Yue |
作者单位 | 中国科学院兰州化学物理研究所 |
推荐引用方式 GB/T 7714 | Chengtao Yue,Wenlong Wang,Li FW. Building N‐Heterocyclic Carbene into Triazine‐Linked Polymer for Multiple CO2 Utilization[J]. ChemSusChem,2020,13(22):5996. |
APA | Chengtao Yue,Wenlong Wang,&李福伟.(2020).Building N‐Heterocyclic Carbene into Triazine‐Linked Polymer for Multiple CO2 Utilization.ChemSusChem,13(22),5996. |
MLA | Chengtao Yue,et al."Building N‐Heterocyclic Carbene into Triazine‐Linked Polymer for Multiple CO2 Utilization".ChemSusChem 13.22(2020):5996. |
入库方式: OAI收割
来源:兰州化学物理研究所
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