Nanoparticle Size Analysis
Nanoparticle Size Analysis - Related Videos
09:19
Nanoparticle Tracking Analysis for the Quantification and Size Determination of Extracellular Vesicles
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Cited by 112 •
2021
We demonstrate how to use a novel nanoparticle tracking analysis instrument to estimate the size distribution and total particle concentration of extracellular vesicles isolated from mouse perigonadal adipose tissue and human plasma.
08:51
Evaluation of Polymeric Gene Delivery Nanoparticles by Nanoparticle Tracking Analysis and High-throughput Flow Cytometry
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Cited by 9 •
2013
A protocol for nanoparticle tracking analysis (NTA) and high-throughput flow cytometry to evaluate polymeric gene delivery nanoparticles is described. NTA is utilized to characterize the nanoparticle particle size distribution and the plasmid per particle distribution. High-throughput flow cytometry enables quantitative transfection efficacy evaluation for a library of gene delivery biomaterials.
12:47
Tangential Flow Ultrafiltration: A “Green” Method for the Size Selection and Concentration of Colloidal Silver Nanoparticles
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Cited by 20 •
2012
Tangential flow ultrafiltration (TFU) is a recirculation method used for the weight-based separation of biosamples. TFU was adapted to size-select (1-20 nm diameter) and highly concentrate a large volume of polydisperse silver nanoparticles (4 L of 15.2 μg ml-1 down to 4 ml of 8,539.9 μg ml-1) with minimal aggregation.
08:21
A Simple Method for the Size Controlled Synthesis of Stable Oligomeric Clusters of Gold Nanoparticles under Ambient Conditions
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Cited by 4 •
2016
We describe a simple method for producing highly stable oligomeric clusters of gold nanoparticles via the reduction of chloroauric acid (HAuCl4) with sodium thiocyanate (NaSCN). The oligoclusters have a narrow size distribution and can be produced with a wide range of sizes and surface coats.
11:52
Analysis of Targeted Viral Protein Nanoparticles Delivered to HER2+ Tumors
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Cited by 1 •
2013
This article details the procedures for optical imaging analysis of the tumor-targeted nanoparticle, HerDox. In particular, detailed use of the multimode imaging device for detecting tumor targeting and assessing tumor penetration is described here.
FAQs
Dynamic light scattering converts time-dependent fluctuations in laser-scattered intensity into a hydrodynamic diameter. Those fluctuations arise from nanoparticle Brownian motion, so the result describes the particle dimension inferred from its movement rather than a direct visual measurement. Engineers can use this output to characterize size distributions and connect nanoscale behavior with colloidal stability and transport considerations.
Electron microscopy supplies direct visual evidence that dynamic light scattering does not: images can show particle size, shape, and aggregation. This distinction matters when a sample’s performance depends not only on dimensions but also morphology or clustered particles. Using imaging alongside scattering gives engineers complementary information for judging synthesis quality and interpreting whether a measured distribution represents individual particles or aggregated material.
Aggregation is an important interpretation issue because clustered nanoparticles can change the apparent size distribution and obscure the condition of individual particles. Electron microscopy can reveal these aggregates directly, while dynamic light scattering reports a hydrodynamic diameter derived from motion-related scattering fluctuations. Considering both results helps engineers evaluate colloidal stability rather than treating one size value as a complete description.
Size distributions expose variability that a single representative value could conceal. That variability is relevant to batch-to-batch consistency and to relationships between material structure and performance. By tracking the distribution, engineers can determine whether synthesis produces a repeatable population of nanoparticles, rather than assuming that one reported dimension captures the full material.
A practical engineering assessment can pair dynamic light scattering with electron microscopy, then relate the resulting dimensions, distributions, shapes, and aggregation observations to synthesis quality and colloidal stability. The scattering measurement contributes hydrodynamic size information, whereas imaging adds direct structural evidence. This combined interpretation is useful when deciding whether a batch is suitable for further process optimization.
Nanoparticle size analysis supports process optimization by linking measured structure with observed or expected material performance. Engineers can use size, distribution, shape, and aggregation information to assess synthesis quality, compare batches, and identify whether processing is producing consistent material. These measurements also help anticipate transport behavior and likely performance in manufacturing or application environments.
In engineering, the measurements are relevant to catalysts, sensors, coatings, and drug-delivery systems. For these materials, size-related structure can be considered alongside stability, transport behavior, and application performance. The same analytical framework also supports manufacturing decisions by providing evidence about synthesis quality and consistency before nanoparticles are used in a target environment.