ArticleNano letters2014
Direct observation of aggregative nanoparticle growth: kinetic modeling of the size distribution and growth rate.
Article in Nano letters, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed.
- Multivalency Controls the Growth and Dynamics of a Biomolecular Condensate.Journal of the American Chemical Society · 2025Article
- Multiphasic size-dependent growth dynamics of nanoparticle ensembles.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Solid-State Dewetting of Tungsten-Doped Vanadium Dioxide Nanoparticles: Implications for Thermochromic Coatings.ACS applied nano materials · 2025Article
- Mechanistic Insights into the Synthesis of Nickel-Graphene Nanostructures for Gas Sensors.Small methods · 2025Article
- Exploring Biomineralization Processes Using In Situ Liquid Transmission Electron Microscopy: A Review.Small (Weinheim an der Bergstrasse, Germany) · 2025Review
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- Controlled formation of gold nanoparticles with tunable plasmonic properties in tellurite glass.Light, science & applications · 2023Article
- Silver Nanoparticles Modified with Polygonatum sibiricum Polysaccharide Improve Biocompatibility and Infected Wound Bacteriostasis.Journal of microbiology (Seoul, Korea) · 2023Article
- Deep learning detection of nanoparticles and multiple object tracking of their dynamic evolution during in situ ETEM studies.Scientific reports · 2022Article
- Insights into the growth of nanoparticles in liquid polyol by thermal annealing.Nanoscale advances · 2021Article
- In situ strategy for biomedical target localization via nanogold nucleation and secondary growth.Communications biology · 2021Article
- Revealing nanoscale mineralization pathways of hydroxyapatite using in situ liquid cell transmission electron microscopy.Science advances · 2020Article
- Article
- Connecting particle interactions to agglomerate morphology and rheology of boehmite nanocrystal suspensions.Journal of colloid and interface science · 2020Article
- Layer Morphology and Ink Compatibility of Silver Nanoparticle Inkjet Inks for Near-Infrared Sintering.Nanomaterials (Basel, Switzerland) · 2020Article
- Growth of Supported Gold Nanoparticles in Aqueous Phase Studied by in Situ Transmission Electron Microscopy.The journal of physical chemistry. C, Nanomaterials and interfaces · 2020Article
- AnNanoscale advances · 2020Article
- Discovery of and Insights into DNA "Codes" for Tunable Morphologies of Metal Nanoparticles.Small (Weinheim an der Bergstrasse, Germany) · 2019Review
- Effective chemical potential for non-equilibrium systems and its application to molecular beam epitaxy of BiNanoscale advances · 2019Article
- Effects of Ionic Strength, Salt, and pH on Aggregation of Boehmite Nanocrystals: Tumbler Small-Angle Neutron and X-ray Scattering and Imaging Analysis.Langmuir : the ACS journal of surfaces and colloids · 2018Article
Corrections and comments
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6 authors.
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Abstract
Direct observations of solution-phase nanoparticle growth using in situ liquid transmission electron microscopy (TEM) have demonstrated the importance of "non-classical" growth mechanisms, such as aggregation and coalescence, on the growth and final morphology of nanocrystals at the atomic and single nanoparticle scales. To date, groups have quantitatively interpreted the mean growth rate of nanoparticles in terms of the Lifshitz-Slyozov-Wagner (LSW) model for Ostwald ripening, but less attention has been paid to modeling the corresponding particle size distribution. Here we use in situ fluid stage scanning TEM to demonstrate that silver nanoparticles grow by a length-scale dependent mechanism, where individual nanoparticles grow by monomer attachment but ensemble-scale growth is dominated by aggregation. Although our observed mean nanoparticle growth rate is consistent with the LSW model, we show that the corresponding particle size distribution is broader and more symmetric than predicted by LSW. Following direct observations of aggregation, we interpret the ensemble-scale growth using Smoluchowski kinetics and demonstrate that the Smoluchowski model quantitatively captures the mean growth rate and particle size distribution.
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