Nanoparticle Analysis
Nanoparticle Analysis - Related Videos
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.
06:24
Preparation of Nanoparticles for ToF-SIMS and XPS Analysis
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Cited by 14 •
2020
A number of different procedures for preparing nanoparticles for surface analysis are presented (drop casting, spin coating, deposition from powders, and cryofixation). We discuss the challenges, opportunities, and possible applications of each method, particularly regarding the changes in the surface properties caused by the different preparation methods.
14:53
In Situ Detection and Single Cell Quantification of Metal Oxide Nanoparticles Using Nuclear Microprobe Analysis
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Cited by 3 •
2018
We describe a procedure for the detection of chemical elements present in situ in human cells as well as their in vitro quantification. The method is well-suited to any cell type and is particularly useful for quantitative chemical analyses in single cells following in vitro metal oxide nanoparticles exposure.
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.
09:23
Harmonic Nanoparticles for Regenerative Research
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Cited by 1 •
2014
Protocol details are provided for in vitro labeling human embryonic stem cells with second harmonic generating nanoparticles. Methodologies for hESC investigation by multi-photon microscopy and their differentiation into cardiac clusters are also presented.
FAQs
No single technique reveals every property relevant to a nanoparticle system. Electron microscopy can support evaluation of morphology, while light scattering contributes information about size distribution and aggregation. Spectroscopy addresses chemical properties, and surface-charge measurements help assess colloidal stability. Combining these results gives engineers a more complete basis for interpreting material behavior.
A size distribution shows whether a sample contains particles with similar dimensions or substantial variability. That variation can influence how the material behaves and may help explain differences in performance between samples. Detecting aggregation is also important because clustered particles can alter the apparent size profile and complicate comparisons during engineering development.
Surface-charge measurements provide information about how readily particles maintain a dispersed state rather than aggregate. In nanoparticle analysis, this result complements size and aggregation measurements by connecting an interfacial property with suspension behavior. Engineers can therefore use the combined evidence to identify instability, investigate sample variability, and assess whether a material behaves consistently.
A practical characterization approach compares results from methods that probe different properties. Measurements can address structure, composition, size distribution, morphology, chemical characteristics, aggregation, and surface charge rather than relying on one result. Interpreting these observations together helps distinguish a particle’s inherent features from variability introduced by aggregation or other changes in the sample.
Engineering teams use characterization results to check whether nanomaterials possess the expected properties and to identify sources of variability. Comparing particle size, morphology, composition, aggregation, and colloidal stability across samples supports more reproducible material integration. This quality-control role is especially important when nanoscale differences could affect the performance of a designed product or process.
The measurements support the design and evaluation of nanomaterials used in catalysts, sensors, coatings, electronics, and drug-delivery systems. By linking nanoscale properties with observed performance, engineers can determine which characteristics matter for a particular application and monitor whether material behavior remains consistent. The same analysis also supports safer and more reproducible integration into advanced technologies.