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Research Article | Open Access | Just Accepted

Oxygen-vacancy-rich NiCo2Ox nanoflowers for ascorbic acid detection in tear fluid

Xiaoyan Wang1,2, Yunbing Li1, Sijie Yin3 ( ), Ningning Song1 ( ), Minmin Liang1 ( )

1 Experimental Center of Advanced Materials, School of Materials Science & Engineering, Beijing Institute of Technology, Beijing 10081, China

2 School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China

3 School of Automation, Beijing Institute of Technology, Beijing 100081, China

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Abstract

Ascorbic acid (AA) is a key antioxidant in tear fluid and is closely related to ocular redox homeostasis. Sensitive detection of tear AA is therefore important for evaluating the ocular redox state. Here, we developed oxygen-vacancy-rich NiCo2Ox nanoflowers featuring a three-dimensional porous architecture assembled from interconnected nanowires for efficient electrocatalytic oxidation of AA. This hierarchical NiCo2Ox nanostructure provide abundant accessible active sites for AA diffusion, while oxygen vacancies induced local electronic redistribution. Thus, the NiCo2Ox nanoflowers exhibit excellent electrocatalytic activity toward AA oxidation, achieving a sensitivity of 2.75 μA mM-1 mm-2 over a linear range of 0-2 mM, together with good selectivity and electrochemical stability. Density functional theory calculations further revealed that oxygen vacancies enhance AA adsorption and reduce the energetic barrier for AA activation, thereby promoting the oxidation of AA to dehydroascorbic acid. Furthermore, the NiCo2Ox -based sensing interface enabled AA detection in simulated tear fluid and could be integrated with K+ and Na+ sensing units for simultaneous tear biomarker analysis. This hierarchical defect-engineered NiCo2Ox nanostructure provides an effective strategy for enhancing the sensitivity of AA sensing.

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Cite this article:
Wang X, Li Y, Yin S, et al. Oxygen-vacancy-rich NiCo2Ox nanoflowers for ascorbic acid detection in tear fluid. Nano Research, 2026, https://doi.org/10.26599/NR.2026.94909227
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Received: 17 August 2026
Revised: 23 September 2026
Accepted: 28 September 2026
Available online: 28 September 2026

© The Author(s) 2026. 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/)