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oai:figshare.com:article/34050490 2026-10-01T21:04:33Z category_1 category_146 category_7 category_39 category_734 category_135 portal_63 item_type_2 month_year_10_2026

Visualizing Gas-Generating Catalysis at the Single-Nanoparticle Level via Dark-Field Microscopy with Multimodal Analysis Yi Wang (32470) Zhengzhuo Li (21522477) Yanhui Gao (439560) Xinlong Cai (25158772) Yamin Wang (365764) Enyu Gao (20288046) Jingjing Shen (112512) Quli Fan (1341438) Lei Zhang (38117) Biophysics Space Science Medicine Ecology Biological Sciences not elsewhere classified Computational Biology current studies rely address many chemical multimodal analysis capabilities studying diverse gas 2 </ sub multimodal analysis understanding spatial analysis ensemble analysis visualizing gas systematic variation stochastic nature potential applications nanoparticle motion nanoparticle level nanoparticle edges nanoparticle catalysis nanomotor technology nanobubble localization nanobubble formation model reaction mechanical signatures mechanical readout law kinetics investigate gas interfacial chemistry integrated dark individual catalysts heterogeneous behavior generating catalysts generating catalysis field microscopy evolving reactions environmental science correlate optical comprehensive approach catalytic activity biological challenges also provides Understanding the dynamic and heterogeneous behavior of gas-generating catalysts at the single-nanoparticle level is important to address many chemical and biological challenges. Most current studies rely on ensemble analysis, which fails to capture the unique and critical catalytic kinetics inherent in single nanocatalysts. Herein, we developed an integrated dark-field microscopy (DFM) platform with multimodal analysis capabilities to investigate gas-generating catalysis at the single-nanoparticle level, using the decomposition of H₂O₂ by MnO₂ nanoparticles as a model reaction. By tracking scattering intensity fluctuations, nanobubble localization, and nanoparticle motion, we uncover the dynamic and heterogeneous behavior of individual catalysts. The catalytic activity exhibits intermittent high/low fluctuations following power-law kinetics, revealing the stochastic nature of single-nanoparticle catalysis. Spatial analysis of nanobubble localization reveals heterogeneous catalytic activity with preferential O₂ nanobubble formation at nanoparticle edges and corners. Furthermore, we demonstrate that catalytic gas release induces detectable lateral nanoparticle motion through asymmetric O₂ release, offering a mechanical readout of the catalytic activity. Systematic variation in H₂O₂ concentration and surfactant environment allows us to correlate optical and mechanical signatures with changes in the interfacial chemistry. This comprehensive approach not only improves our understanding of single-nanoparticle catalysis but also provides a framework for studying diverse gas-evolving reactions with potential applications in energy, environmental science, and nanomotor technology. 2026-10-01T00:00:00Z Dataset Media 10.1021/jacs.6c17259.s001 https://figshare.com/articles/media/Visualizing_Gas-Generating_Catalysis_at_the_Single-Nanoparticle_Level_via_Dark-Field_Microscopy_with_Multimodal_Analysis/34050490 CC BY-NC 4.0