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| Main Authors: | , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Mikrochimica acta
2026
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/42209727/ |
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Table of Contents:
- Hemoglobin-assisted, ZIF-derived porous bimetallic FeCo/N-C nanozyme with high oxidase-like activity for colorimetric sensing. Wang, Zhenzhen Chen, Yiyu Lin, Xuexia Lian, Huiting Liu, Bin Wei, Xiaofeng Colorimetry Ascorbic Acid Porosity Cobalt Hemoglobins Benzidines Limit of Detection Metal-Organic Frameworks Oxidation-Reduction Humans Oxidoreductases Catalysis Nanostructures Imidazoles Oxidative stress caused by excessive reactive oxygen species (ROS) is related to many diseases, and the importance of accurate detection of antioxidants is emphasized. Ascorbic acid (AA), a representative antioxidant, is widely used to assess total antioxidant capacity. Herein, we report the rational design of a bimetallic FeCo/N-C nanozyme via pyrolysis of a hemoglobin (Hb)-doped ZIF-67@ZIF-8 precursor. The Hb precursor plays a dual role: it acts as a molecular porogen to produce hierarchical porous structure, and as a coordination modulator to facilitate the formation of highly dispersed metal sites, thereby preventing cobalt aggregation and enhancing mass transfer. Crucially, the synthesized FeCo/N-C nanozyme exhibits exceptional oxidase-like activity by catalyzing the oxidation of 3,3',5,5'-tetramethylbenzidine (TMB) via a singlet oxygen (¹O)-dominated non-radical pathway, as verified by electron paramagnetic resonance (EPR) spectroscopy. Based on AA's reductive suppression of TMB oxidation, a sensitive and HO-free colorimetric sensing platform was developed for the quantification of AA. Under optimized conditions, the sensor displayed wide dual-linear ranges of 0.025-2.5 µM and 2.5-150 µM, a low detection limit of 0.006 µM, along with desired selectivity and stability. The method demonstrated practical applicability for AA quantification in body fluid samples, with satisfactory recoveries (98.14-104.36%) and good reproducibility (RSD