Manganese oxide (MnOx) as peroxidase-mimicking nanozymes with valence-dependent activity for single-use colorimetric bioassays

Manganese oxide (MnO<sub>x</sub>)-based nanozymes have attracted growing interest due to their low cost, high catalytic robustness, and adjustable oxidation states that influence enzyme-mimicking performance. In this study, we report a systematic approach to synthesize MnO<sub>x</sub> nanocomposites with tunable Mn valence states via a two-step pyrolysis of Mn-BTC precursors, enabling us to explore their valence-dependent peroxidase-like activities. Among the synthesized forms, Mn<sub>3</sub>O<sub>4</sub> exhibited the highest catalytic efficiency by facilitating the decomposition of H₂O₂ to generate hydroxyl radicals (•OH), which oxidize tetramethylbenzidine (TMB) to produce a blue-colored product. The catalytic mechanism was supported by UV-vis spectroscopy and fluorescence assays. Kinetic studies revealed low Km values, indicating high substrate affinity. Leveraging these properties, we further developed a disposable paper-based colorimetric bioassay using Mn<sub>3</sub>O<sub>4</sub>, which demonstrated excellent selectivity, sensitivity, and a low detection limit (0.25 μM in solution and 6.77 μM on paper). This work not only elucidates the correlation between Mn valence state and catalytic behavior but also provides a promising strategy for designing efficient nanozymes for low-cost, portable biosensing platforms.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-11-26
DOI
https://doi.org/10.1038/s41598-025-26164-0
Primary Topic
Advanced Nanomaterials in Catalysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Manganese oxide (MnOx) as peroxidase-mimicking nanozymes with valence-dependent activity for single-use colorimetric bioassays

Lumin Wang, Henghan Dai, Gengzhi Sun, Haoran Zheng et al.
Scientific Reports
Advanced Nanomaterials in Catalysis
article

Manganese oxide (MnOx) as peroxidase-mimicking nanozymes with valence-dependent activity for single-use colorimetric bioassays

Lumin Wang, Henghan Dai, Gengzhi Sun, Haoran Zheng, Zengyu Hui, Jianing An, Xin Liu, Tian Zhang, Zhao Zhang, Shan Hong
article en

Abstract

Manganese oxide (MnO<sub>x</sub>)-based nanozymes have attracted growing interest due to their low cost, high catalytic robustness, and adjustable oxidation states that influence enzyme-mimicking performance. In this study, we report a systematic approach to synthesize MnO<sub>x</sub> nanocomposites with tunable Mn valence states via a two-step pyrolysis of Mn-BTC precursors, enabling us to explore their valence-dependent peroxidase-like activities. Among the synthesized forms, Mn<sub>3</sub>O<sub>4</sub> exhibited the highest catalytic efficiency by facilitating the decomposition of H₂O₂ to generate hydroxyl radicals (•OH), which oxidize tetramethylbenzidine (TMB) to produce a blue-colored product. The catalytic mechanism was supported by UV-vis spectroscopy and fluorescence assays. Kinetic studies revealed low Km values, indicating high substrate affinity. Leveraging these properties, we further developed a disposable paper-based colorimetric bioassay using Mn<sub>3</sub>O<sub>4</sub>, which demonstrated excellent selectivity, sensitivity, and a low detection limit (0.25 μM in solution and 6.77 μM on paper). This work not only elucidates the correlation between Mn valence state and catalytic behavior but also provides a promising strategy for designing efficient nanozymes for low-cost, portable biosensing platforms.

Scientific ReportsVol. 15(1)
Nanjing Tech University (CN), Harbin Engineering University (CN), Jinan University (CN), Northwestern Polytechnical University (CN), Hainan University (CN), Nanjing Institute of Technology (CN), Jinling Institute of Technology (CN)
National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province
Openalex Percentile: Top 70%
Advanced Nanomaterials in Catalysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.