Biomimetic Peroxidase Model: Copper–Organic Framework Material Constructed with a Low-Symmetry Triazine Polycarboxylate Ligand for Visual Application as a Biosensing Platform

Metal-organic frameworks (MOFs) have recently emerged as fascinating enzymatic mimics due to their active metal-redox centers and attractive structural adjustability. However, the design of MOFs based on low-symmetry triazine polycarboxylate ligands as peroxidase-like mimics remains largely unexplored. Herein, a novel Cu-MOF (complex <b>1</b>) was prepared using [5,5'-((6-(bis(carboxymethyl)amino)-1,3,5-triazine-2,4-diyl)bis(azanediyl))diisophthalic acid, H<sub>6</sub>BATD] by a solvothermal method. Complex <b>1</b> presented a better affinity for the hydrogen peroxide substrate compared with the natural horseradish peroxidase (HRP) enzyme. Its peroxidase-like activity is related to the production of hydroxyl radicals (•OH) and superoxide radicals (•O<sub>2</sub><sup>-</sup>), and the brief conversion mechanism is speculated based on XPS data. Based on this, the colorimetric method was utilized for the detection of H<sub>2</sub>O<sub>2</sub> and partial biological molecules, especially ascorbic acid (AA) and glutathione (GSH), and the detection limits were as low as 0.38 μM for AA and 0.44 μM for GSH. In addition, smartphone-assisted recognition for AA sensing was realized, and complex <b>1</b> was employed as a peroxidase nanozyme for AA detection in fruits and pharmaceuticals. These findings not only throw light on the construction of MOFs with high enzyme-like activity but also on the structural expansion of novel MOFs based on a low-symmetry family of triazine derivative linkers.

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Publication Details

Journal
Inorganic Chemistry
Published
2025-06-16
DOI
https://doi.org/10.1021/acs.inorgchem.5c00386
Citations
1
Primary Topic
Advanced Nanomaterials in Catalysis
Type
article
Field-Weighted Citation Impact
0.52

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article

Biomimetic Peroxidase Model: Copper–Organic Framework Material Constructed with a Low-Symmetry Triazine Polycarboxylate Ligand for Visual Application as a Biosensing Platform

Jiaru Li, Feng‐Ying Bai, Shan Jiang, Chen Wang et al.
1 citations
Inorganic Chemistry
Advanced Nanomaterials in Catalysis
0.52
article

Biomimetic Peroxidase Model: Copper–Organic Framework Material Constructed with a Low-Symmetry Triazine Polycarboxylate Ligand for Visual Application as a Biosensing Platform

Jiaru Li, Feng‐Ying Bai, Shan Jiang, Chen Wang, Yufei Wang, Yong‐Heng Xing, Yu‐Xian Chi, Zi Yang Wang
article en
1 citations

Abstract

Metal-organic frameworks (MOFs) have recently emerged as fascinating enzymatic mimics due to their active metal-redox centers and attractive structural adjustability. However, the design of MOFs based on low-symmetry triazine polycarboxylate ligands as peroxidase-like mimics remains largely unexplored. Herein, a novel Cu-MOF (complex <b>1</b>) was prepared using [5,5'-((6-(bis(carboxymethyl)amino)-1,3,5-triazine-2,4-diyl)bis(azanediyl))diisophthalic acid, H<sub>6</sub>BATD] by a solvothermal method. Complex <b>1</b> presented a better affinity for the hydrogen peroxide substrate compared with the natural horseradish peroxidase (HRP) enzyme. Its peroxidase-like activity is related to the production of hydroxyl radicals (•OH) and superoxide radicals (•O<sub>2</sub><sup>-</sup>), and the brief conversion mechanism is speculated based on XPS data. Based on this, the colorimetric method was utilized for the detection of H<sub>2</sub>O<sub>2</sub> and partial biological molecules, especially ascorbic acid (AA) and glutathione (GSH), and the detection limits were as low as 0.38 μM for AA and 0.44 μM for GSH. In addition, smartphone-assisted recognition for AA sensing was realized, and complex <b>1</b> was employed as a peroxidase nanozyme for AA detection in fruits and pharmaceuticals. These findings not only throw light on the construction of MOFs with high enzyme-like activity but also on the structural expansion of novel MOFs based on a low-symmetry family of triazine derivative linkers.

Inorganic ChemistryVol. 64(25)
Liaoning Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Liaoning Province, Department of Education of Liaoning Province
Openalex Percentile: Top 37%
Advanced Nanomaterials in Catalysis
0.52
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