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Research Article | Open Access

Electrochemical interfaces tailored with metal-modulable covalent organic frameworks for highly stable and selective sensing of ascorbic acid in vivo

Jiawei Lai§Xiulan He§Huan WeiFengyu LaiFei WuLanqun Mao ( )
College of Chemistry, Beijing Normal University, Beijing 100875, China

§ Jiawei Lai and Xiulan He contributed equally to this work.

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Abstract

The homeostasis of ascorbic acid (AA) plays vital roles in the brain, which relies on in vivo real-time concentration monitoring to uncover its correlation to neurological functions and diseases. Electrochemical sensing with carbon fiber electrodes (CFEs) offers high spatiotemporal resolution and sensitivity for in vivo sensing of AA but faces challenges, such as electrode fouling by oxidation byproducts and interference from coexisting neurochemicals. Here, we report the design of metalloporphyrin-based olefin-conjugated covalent organic frameworks (COFs) that synergize atomically dispersed Ni–N4 catalytic sites, hierarchical porosity, and π-conjugated conductivity to enhance AA oxidation kinetics while eliminating interference. We show that nickel porphyrin COFs-modified CFE gains exceptional sensitivity (4.44 × 10−3 μA·μM−1), stability (negligible signal decay over 4000 s), and selectivity in rat brain, enabling real-time tracking of stimulus-evoked AA release during spreading depolarization. This study demonstrates the potential of COFs as a reliable platform for implementing implantable sensing technologies for accurate neurochemical profiling in complex networks.

Graphical Abstract

sp2 carbon-conjugated porphyrin covalent organic framework was first used as an electrocatalyst to monitor the fluctuation of ascorbate concentration in rat cerebral cortex.

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Nano Research
Article number: 94907440

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Cite this article:
Lai J, He X, Wei H, et al. Electrochemical interfaces tailored with metal-modulable covalent organic frameworks for highly stable and selective sensing of ascorbic acid in vivo. Nano Research, 2025, 18(6): 94907440. https://doi.org/10.26599/NR.2025.94907440
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Received: 11 March 2025
Revised: 21 March 2025
Accepted: 03 April 2025
Published: 16 May 2025
© The Author(s) 2025. Published by Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).