Methyl‐Tailored Covalent Organic Framework for Highly Sensitive Dual‐Mode Detection of Nitrogen Dioxide

ABSTRACT Development of dual‐mode sensors that synergize rapid visual detection with precise electrical quantification remains a significant challenge for reliable nitrogen dioxide (NO 2 ) monitoring. Herein, we report a vinylene‐linked covalent organic framework (COF), TMP‐TB‐COF, engineered as a high‐performance dual‐mode (colorimetric/chemiresistive) sensing platform for NO 2 . The conjugated and electron‐rich framework, featuring well‐ordered micropores, exhibits strong and specific affinity for electron‐accepting NO 2 molecules. This interaction triggers instantaneous color change from orange to wine‐red and concurrent fluorescence quenching, enabling visual qualification. Simultaneously, it induces a pronounced and reversible modulation in electrical resistance, allowing for ultrasensitive quantitative detection. The chemiresistive sensor demonstrates a high responsivity of 0.54% ppm −1 , a low detection limit of 7.8 ppb, excellent selectivity, and fast response/recovery (∼10 s). Mechanistic calculations reveal that the imine nitrogen atom adjacent to a methyl group serves as the key binding site, where a favorable orbital interaction facilitates selective charge transfer, underpinning the dual response. Leveraging its mechanical flexibility and stable performance, the COF film is integrated into a wireless, portable device, successfully demonstrating real‐time, spatial NO 2 monitoring and alerting via a smartphone. This work provides a novel paradigm for creating intelligent, reliable gas sensors by leveraging the multi‐signal output capability of tailor‐made COFs.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-04-22
DOI
https://doi.org/10.1002/adfm.75509
Primary Topic
Covalent Organic Framework Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Methyl‐Tailored Covalent Organic Framework for Highly Sensitive Dual‐Mode Detection of Nitrogen Dioxide

Haifeng Wei, Gaofeng Zeng, Jingrui Fan, Xudong Wang et al.
Advanced Functional Materials
Covalent Organic Framework Applications
article

Methyl‐Tailored Covalent Organic Framework for Highly Sensitive Dual‐Mode Detection of Nitrogen Dioxide

Haifeng Wei, Gaofeng Zeng, Jingrui Fan, Xudong Wang, Yuhe Mu, Guiping Yang, Huiling Chen, Shenghong Li, Qiyan Wang
article en

Abstract

ABSTRACT Development of dual‐mode sensors that synergize rapid visual detection with precise electrical quantification remains a significant challenge for reliable nitrogen dioxide (NO 2 ) monitoring. Herein, we report a vinylene‐linked covalent organic framework (COF), TMP‐TB‐COF, engineered as a high‐performance dual‐mode (colorimetric/chemiresistive) sensing platform for NO 2 . The conjugated and electron‐rich framework, featuring well‐ordered micropores, exhibits strong and specific affinity for electron‐accepting NO 2 molecules. This interaction triggers instantaneous color change from orange to wine‐red and concurrent fluorescence quenching, enabling visual qualification. Simultaneously, it induces a pronounced and reversible modulation in electrical resistance, allowing for ultrasensitive quantitative detection. The chemiresistive sensor demonstrates a high responsivity of 0.54% ppm −1 , a low detection limit of 7.8 ppb, excellent selectivity, and fast response/recovery (∼10 s). Mechanistic calculations reveal that the imine nitrogen atom adjacent to a methyl group serves as the key binding site, where a favorable orbital interaction facilitates selective charge transfer, underpinning the dual response. Leveraging its mechanical flexibility and stable performance, the COF film is integrated into a wireless, portable device, successfully demonstrating real‐time, spatial NO 2 monitoring and alerting via a smartphone. This work provides a novel paradigm for creating intelligent, reliable gas sensors by leveraging the multi‐signal output capability of tailor‐made COFs.

Advanced Functional Materials
Henan University of Engineering (CN), Shanghai Changzheng Hospital (CN), Shanghai Advanced Research Institute (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 12%
Covalent Organic Framework Applications
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