Multi-functional nanozyme-integrated astragalus polysaccharide hydrogel for targeted phased therapy in diabetic wound healing

Nano Today, Journal Year: 2025, Volume and Issue: 62, P. 102739 - 102739

Published: April 1, 2025

Language: Английский

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Self‐Propelled MnO₂‐Based Colloidal Motors for Active Treatment of Periodontal Inflammation

Chemistry - An Asian Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Abstract Chemically powered colloidal motors exhibit significant potential for applications in oral cleaning and antimicrobial treatment. The integration of MnO 2 ‐based with common mouth‐rinsing H O solutions sterilization disinfection via reactive oxygen species (ROS) represents an ideal approach. In this study, we fabricate uniform dumbbell‐shaped (DS‐MnO ‐motor), spherical (S‐MnO silver half‐coated Janus Ag‐MnO (JS‐MnO ‐motor) using hydrothermal, co‐precipitation, sputtering methods, respectively. These are propelled by bubble ejection generated from the catalytic decomposition low‐concentration peroxidase‐like components. Notably, JS‐MnO ‐motors achieve a maximum speed 146.4 µm s −1 gargle containing 1.5% . vitro vivo trials demonstrated that ‐motor exhibits superior rates 98.1% 97.4% against both planktonic biofilm‐forming P. gingivalis F. nucleatum Consequently, it significantly enhances therapeutic efficacy treating periodontitis Wistar rats, as evidenced marked reduction inflammatory cells. mechanical force exerted these motors, along cation adhesion to bacterial membranes effects ROS, collectively contribute enhanced performance. Our findings introduce novel strategy treatment chronic diseases.

Language: Английский

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A dual-mode sensing system based on carbon dots and MnO2 nanosheets with peroxidase-like activity for the detection of alkaline phosphatase and its inhibitors

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113624 - 113624

Published: April 1, 2025

Language: Английский

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Machine Learning–Driven Screening of High‐Activity Antitumor Nanozymes Using an Ensemble Enzymatic Oracle System

Published: April 12, 2025

ABSTRACT Nanozymes, by mimicking the catalytic sites of natural enzymes, have emerged as effective substitutes for traditional enzymes. However, relationship between physicochemical properties and activity nanozymes is complex nonlinear. Traditional laboratory screening theoretical calculations struggle to handle large‐scale samples multidimensional parameters, resulting in inefficiency high costs pursuit performance nanozymes. Efficiently designing with desirable remain a significant challenge. Machine learning (ML) technology can capture nonlinear nanozymes, allowing simultaneous processing input variables, thereby achieving more accurate efficient prediction. This study adopts data‐driven approach propose an ensemble enzymatic prediction model, utilizing ML algorithms understand particle–activity relationship, enabling peroxidase (POD)‐like activity. The model integrates five sub‐models, significantly improving accuracy enhancing generalization compared single models, 82.4%. External experimental validation results indicate that model's outcomes four outside dataset are consistent assays. Further vitro vivo experiments substantiate effectiveness model‐selected POD tumor treatment. offers promising strategy antitumor desired demonstrates potential field materials science.

Language: Английский

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Insight into the interaction of MnO2@Polyaniline composite with bovine serum albumin

Journal of Molecular Structure, Journal Year: 2025, Volume and Issue: unknown, P. 142395 - 142395

Published: April 1, 2025

Language: Английский

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