ArticleACS nano2023
Real-Time Optical Tracking of Protein Corona Formation on Single Nanoparticles in Serum.
Article in ACS nano, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
17 citing papers in PubMed, 42 citations in OpenAlex.
- Mapping Morphology-Dependent Stability of Gold Nanostars in Immune Cells Using Hyperspectral Imaging.Analytical chemistry · 2026Article
- Wafer-Scale Deterministic Fabrication of Axis-Ratio-Engineered Silicon Nanoparticles for On-Resonance Electric-Magnetic Dipole Interference.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Lysosome-centered nanomedicine for cancer therapy: mechanisms, materials, and modalities.Journal of nanobiotechnology · 2026Review
- High-Curvature Features Improve Targeting of Nanoconstructs with Small-Molecule Ligands.Nano letters · 2026Article
- Advancing the Landscape of RNAi Nanotherapeutics for Ischemic Heart Disease.Advanced materials (Deerfield Beach, Fla.) · 2026Review
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- Silver integrated hybrids and nanocomposites for next-generation biomedicine: Beyond antimicrobial coatings toward smart sense-response-heal platforms.Materials today. Bio · 2025Review
- Rethinking analytical approaches to nanoparticles protein corona heterogeneity: a call for innovation.Nanomedicine (London, England) · 2025Article
- Bionanomaterials or Nanobiomaterials: Differences in Definitions and Applications.Journal of functional biomaterials · 2025Review
- Review
- Super-Resolution Microscopy as a Versatile Tool in Probing Molecular Assembly.International journal of molecular sciences · 2024Review
- Protein Corona of Nanoparticles: Isolation and Analysis.Chem & bio engineering · 2024Review
- OX26-cojugated gangliosilated liposomes to improve the post-ischemic therapeutic effect of CDP-choline.Drug delivery and translational research · 2024Article
- Article
- Probing the Cellular Fate of the Protein Corona around Nanoparticles with Nanofocused X-ray Fluorescence Imaging.International journal of molecular sciences · 2023Article
- Real-Time Optical Tracking of Protein Corona Formation on Single Nanoparticles in Serum.ACS nano · 2023Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The formation of a protein corona, where proteins spontaneously adhere to the surface of nanomaterials in biological environments, leads to changes in their physicochemical properties and subsequently affects their intended biomedical functionalities. Most current methods to study protein corona formation are ensemble-averaging and either require fluorescent labeling, washing steps, or are only applicable to specific types of particles. Here we introduce real-time all-optical nanoparticle analysis by scattering microscopy (RONAS) to track the formation of protein corona in full serum, at the single-particle level, without any labeling. RONAS uses optical scattering microscopy and enables real-time and in situ tracking of protein adsorption on metallic and dielectric nanoparticles with different geometries directly in blood serum. We analyzed the adsorbed protein mass, the affinity, and the kinetics of the protein adsorption at the single particle level. While there is a high degree of heterogeneity from particle to particle, the predominant factor in protein adsorption is surface chemistry rather than the underlying nanoparticle material or size. RONAS offers an in-depth understanding of the mechanisms related to protein coronas and, thus, enables the development of strategies to engineer efficient bionanomaterials.
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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.