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Cited by 467

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Enhanced Binding Affinity, Remarkable Selectivity, and High Capacity of CO2 by Dual Functionalization of a rht‐Type Metal–Organic Framework

Li, Baiyan, Zhang, Zhijuan, Li, Yi, Yao, Kexin, Zhu, Yihan, Deng, Zhiyong, Yang, Fen, Zhou, Xiaojing, Li, Guanghua, Wu, Haohan, Nijem, Nour, Chabal, Yves J., Lai, Zhiping, Han, Yu, Shi, Zhan, Feng, Shouhua, Li, Jing·2012·Angewandte Chemie International Edition

Abstract

Open and friendly: The smallest member of the rht-type metal–organic frameworks (MOFs, see picture) constructed by a hexacarboxylate ligand with a nitrogen-rich imino triazine backbone shows a significantly enhanced gas binding affinity relative to all other isoreticular rht-type MOFs. The high adsorption capacity and remarkable selectivity of CO2 are attributed to the high density of open metal and Lewis basic sites in the framework.

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Crossref · 10.1002/anie.201105966

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Metadata

Authors
Li, B., Zhang, Z., Li, Y., Yao, K., Zhu, Y., Deng, Z., Yang, F., Zhou, X., Li, G., Wu, H., Nijem, N., Chabal, Y. J., Lai, Z., Han, Y., Shi, Z., Feng, S., & Li, J.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2011-12-23
Volume
51
Issue
6
Pages
1412-1415
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2126026588
Cited by
467
References
4
FWCI
24.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Enhanced Binding Affinity, Remarkable Selectivity, and High Capacity of CO2 by Dual Functionalization of a rht‐Type Metal–Organic Framework. https://app.cochat.ai/papers/10.1002/anie.201105966
The paper
Li, B., Zhang, Z., Li, Y., Yao, K., Zhu, Y., Deng, Z., Yang, F., Zhou, X., Li, G., Wu, H., Nijem, N., Chabal, Y. J., Lai, Z., Han, Y., Shi, Z., Feng, S., & Li, J. (2012). Enhanced Binding Affinity, Remarkable Selectivity, and High Capacity of CO2 by Dual Functionalization of a rht‐Type Metal–Organic Framework. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201105966

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.