Tuning Core Flexibility and Curvature in Azine-Linked Covalent Organic Frameworks for Attomolar-Level Impedimetric Sensing of Glucose

Glucose serves as a key biomarker of metabolic health, requiring continuous and reliable monitoring. Nonenzymatic impedimetric sensors have emerged as a promising alternative to enzymatic glucose sensors, which dominate current clinical practice. However, their sensitivity is limited by weak molecular recognition and inefficient charge transport at the sensing interface. In this study, we tuned the core flexibility and curvature of azine-linked covalent organic frameworks (COFs) by substituting the central triazine ring in the C<sub>3</sub> symmetric building unit with a nitrogen atom. This modification maximized glucose-framework interactions, thereby enhancing signal transduction and detection sensitivity. The results confirmed the sensitivity and selectivity of the COFs toward glucose, with a linear response over a wide concentration range [1 aM-5 mM], surpassing previously reported glucose sensors. The sensors achieved a subattomolar limit of detection (LOD), with excellent stability and reproducibility compared to traditional enzymatic sensors, offering a simpler and more practical alternative for integration into wearable and implantable devices. Experimental findings are supported by molecular simulations, which reveals the mechanism of sensing and charge transfer dynamics. This work establishes a versatile design strategy for enzyme-free designed-to-purpose transducers, opening new pathways for ultrasensitive and selective molecular detection.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2025-10-08
DOI
https://doi.org/10.1021/jacs.5c10578
Citations
1
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
0.73
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article

Tuning Core Flexibility and Curvature in Azine-Linked Covalent Organic Frameworks for Attomolar-Level Impedimetric Sensing of Glucose

Dinesh Shetty, Sarah Alkhatib, Blaž Belec, Sushil Kumar et al.
1 citations
Journal of the American Chemical Society
Electrochemical sensors and biosensors
0.73
article

Tuning Core Flexibility and Curvature in Azine-Linked Covalent Organic Frameworks for Attomolar-Level Impedimetric Sensing of Glucose

Dinesh Shetty, Sarah Alkhatib, Blaž Belec, Sushil Kumar, Nada Elmerhi, Anna‐Maria Pappa, José I. Martínez, Najat Maher Aldaqqa, Nabila Yasmeen
article en
1 citations

Abstract

Glucose serves as a key biomarker of metabolic health, requiring continuous and reliable monitoring. Nonenzymatic impedimetric sensors have emerged as a promising alternative to enzymatic glucose sensors, which dominate current clinical practice. However, their sensitivity is limited by weak molecular recognition and inefficient charge transport at the sensing interface. In this study, we tuned the core flexibility and curvature of azine-linked covalent organic frameworks (COFs) by substituting the central triazine ring in the C<sub>3</sub> symmetric building unit with a nitrogen atom. This modification maximized glucose-framework interactions, thereby enhancing signal transduction and detection sensitivity. The results confirmed the sensitivity and selectivity of the COFs toward glucose, with a linear response over a wide concentration range [1 aM-5 mM], surpassing previously reported glucose sensors. The sensors achieved a subattomolar limit of detection (LOD), with excellent stability and reproducibility compared to traditional enzymatic sensors, offering a simpler and more practical alternative for integration into wearable and implantable devices. Experimental findings are supported by molecular simulations, which reveals the mechanism of sensing and charge transfer dynamics. This work establishes a versatile design strategy for enzyme-free designed-to-purpose transducers, opening new pathways for ultrasensitive and selective molecular detection.

Journal of the American Chemical SocietyVol. 147(43)
Khalifa University of Science and Technology (AE), University of Nova Gorica (SI), Department of Biotechnology (IN), Biotechnology Research Center (IR), Institute of Catalysis and Petrochemistry (RU), Instituto de Ciencia de Materiales de Madrid (ES)
Openalex Percentile: Top 23%
Electrochemical sensors and biosensors
0.73
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