ArticleChemical & biomedical imaging2023
Refractive Index of Single Surface Nanobubbles.
Article in Chemical & biomedical imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The trial behind it
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Who cites it
4 citing papers in PubMed.
- Imaging from Macro to Nanoscale: Multimodal Advances in Chemical and Biomedical Imaging.Chemical & biomedical imaging · 2026Review
- Surface Plasmon Resonance Imaging and Microscopy Modalities for Information-Rich, Label-Free Analysis of Biomolecular Interactions and Disease Biomarkers.Chemical & biomedical imaging · 2026Review
- Ag Nanoparticle Arrays for Highly Sensitive and Reliable Sulfide Detection.Chemical & biomedical imaging · 2025Article
- The Fate of Secondary Electrons in Water upon High-Energy Electron Impact: Changes in the Presence of Nanobubbles.International journal of molecular sciences · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Here, we report a label-free optical relative refractive index (RI) sensing technique based on the image contrast of surface plasmon resonance microscopy (SPRM). The positive or negative contrast of a SPRM pattern reflects the relative RI of a nanosized object to the medium. Through directly imaging the relative RI, we classified two kinds of surface nanobubbles generated by varied pathways. The former type of nanobubbles nucleated from local oversaturation of gas molecules had a RI lower than that of water and a transient lifetime. The second type of nanobubbles formed by a methanol-water exchange process had a RI higher than that of water and a long lifetime. The relative RI of surface nanobubbles indicated that the gas state is sparse for transient nanobubbles and compressed inside the stable nanobubbles.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.