Pore-Space-Partitioned Metal-Organic Frameworks for Sensitive and Selective Recognition of 2,4,6-Trinitrophenol

Meng-Le Tuo; Nan Song; Chen Chen Xing; Quan‐Guo Zhai

doi:10.1039/d5nr04656d

January 1, 2026Nanoscale

Pore-Space-Partitioned Metal-Organic Frameworks for Sensitive and Selective Recognition of 2,4,6-Trinitrophenol

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Key Points

This work aims to design metal-organic frameworks with tailored pore environments for the sensitive recognition of trinitrophenol.
Developed a series of metal-organic frameworks (SNNU-290 to SNNU-293) using the pore space partition approach.
Performed tests to assess sensitivity and selectivity for trinitrophenol in various conditions.
Analyzed the performance of the frameworks in recognizing trinitrophenol based on structural characteristics.
MOFs showed varying degrees of sensitivity towards 2,4,6-trinitrophenol, with some exhibiting high selectivity.
The tailored pore environments resulted in improved recognition capabilities compared to conventional frameworks.

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Implication

Metal-organic frameworks demonstrate selective recognition of trinitrophenol, indicating potential applications in environmental monitoring.

Abstract

Metal-organic frameworks (MOFs) constructed via the pore space partition (PSP) strategy can exhibit precisely tailored pore environments. In this work, a series of MOFs (SNNU-290 to SNNU-293) were rationally designed...

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Tuo et al. (2026) studied this question.

synapsesocial.com/papers/698827a20fc35cd7a88468d0 https://doi.org/10.1039/d5nr04656d

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Pore-Space-Partitioned Metal-Organic Frameworks for Sensitive and Selective Recognition of 2,4,6-Trinitrophenol

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

Pore-Space-Partitioned Metal-Organic Frameworks for Sensitive and Selective Recognition of 2,4,6-Trinitrophenol

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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