<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Zhang Z</submitter><funding>Science and Technology Planning Project of Guangzhou</funding><funding>Industry-University-Research Cooperation Project of Jiangsu Province</funding><funding>Pearl River Talent Program of Guangdong Province</funding><funding>National Natural Science Foundation of China</funding><funding>Scientific research foundation for high-level personnel in Jinling Institute of Technology</funding><funding>Guangdong Basic and Applied Basic Research Fund</funding><funding>Natural Science Foundation of Jiangsu Province</funding><pagination>42163</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12658014</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>15(1)</volume><pubmed_abstract>Manganese oxide (MnO&lt;sub>x&lt;/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&lt;sub>x&lt;/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&lt;sub>3&lt;/sub>O&lt;sub>4&lt;/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. Kinet</pubmed_abstract><journal>Scientific reports</journal><pubmed_title>Manganese oxide (MnO&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt;) as peroxidase-mimicking nanozymes with valence-dependent activity for single-use colorimetric bioassays.</pubmed_title><pmcid>PMC12658014</pmcid><funding_grant_id>22375092</funding_grant_id><funding_grant_id>2023A1515012820</funding_grant_id><funding_grant_id>BK20241846</funding_grant_id><funding_grant_id>2024A04J6316</funding_grant_id><funding_grant_id>2021QN02X046</funding_grant_id><funding_grant_id>BY2021300</funding_grant_id><funding_grant_id>jit-b-201811</funding_grant_id><pubmed_authors>Liu X</pubmed_authors><pubmed_authors>Zhang T</pubmed_authors><pubmed_authors>Shan H</pubmed_authors><pubmed_authors>Zheng H</pubmed_authors><pubmed_authors>Zhang Z</pubmed_authors><pubmed_authors>An J</pubmed_authors><pubmed_authors>Hui Z</pubmed_authors><pubmed_authors>Sun G</pubmed_authors><pubmed_authors>Dai H</pubmed_authors><pubmed_authors>Wang L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Manganese oxide (MnO&amp;lt;sub&amp;gt;x&amp;lt;/sub&amp;gt;) as peroxidase-mimicking nanozymes with valence-dependent activity for single-use colorimetric bioassays.</name><description>Manganese oxide (MnO&lt;sub>x&lt;/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&lt;sub>x&lt;/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&lt;sub>3&lt;/sub>O&lt;sub>4&lt;/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. Kinet</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Nov</publication><modification>2026-06-07T04:36:43.983Z</modification><creation>2026-06-07T03:07:16.686Z</creation></dates><accession>S-EPMC12658014</accession><cross_references><pubmed>41298572</pubmed><doi>10.1038/s41598-025-26164-0</doi></cross_references></HashMap>