Nanomaterial Detection
Nanomaterial Detection - Related Videos
09:35
Dispersion of Nanomaterials in Aqueous Media: Towards Protocol Optimization
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Cited by 71 •
2017
Here, we present a step-wise protocol for the dispersion of nanomaterials in aqueous media with real-time characterization to identify the optimal sonication conditions, intensity, and duration for improved stability and uniformity of nanoparticle dispersions without impacting the sample integrity.
04:55
Testing of Nanoparticle Release from a Composite Containing Nanomaterial Using a Chamber System
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Cited by 4 •
2016
Nanoparticle release is tested using a chamber system that includes a condensation particle counter, an optical particle counter and sampling ports to collect filter samples for microscopy analysis. The proposed chamber system can be effectively used for nanomaterial release testing with a repeatable and consistent data range.
08:33
Functionalization and Dispersion of Carbon Nanomaterials Using an Environmentally Friendly Ultrasonicated Ozonolysis Process
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Cited by 11 •
2017
Here, a novel method for the functionalization and stable dispersion of carbon nanomaterials in aqueous environments is described. Ozone is injected directly into an aqueous dispersion of carbon nanomaterial that is continuously recirculated through a high-powered ultrasonic cell.
17:16
Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
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Cited by 4 •
2010
Bioimaging methods used to assess cell biodistribution of nanoparticles are applicable for therapeutic and diagnostic monitoring of nanoformulated compounds. The methods described herein are sensitive and specific when assessed by histological coregistration. The methodologies provide a translational pathway from rodent to human applications.
06:40
Biofunctionalization of Magnetic Nanomaterials
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Cited by 4 •
2020
In this work, we provide a protocol to biofunctionalize magnetic nanomaterials with antibodies for specific cell targeting. As examples, we utilize iron nanowires to target cancer cells.
FAQs
The central mechanism is signal-to-property mapping: a particle produces a measurable response, and the resulting signal is related to features such as size, composition, surface properties, or concentration. Light scattering, fluorescence, electrical response, and spectroscopic signatures provide different measurement routes. This mapping allows investigators to move from particle presence to a more informative characterization result.
These attributes can strongly influence nanomaterial behavior, so measuring only one may provide an incomplete picture. A material’s nanoscale dimensions may be assessed alongside its form, chemical makeup, and surface characteristics to interpret how it behaves in a bioengineering system. Considering the attributes together supports more reliable characterization and comparison between materials.
These approaches differ in the type of measurable signal used to indicate nanomaterial presence and properties. Light scattering, fluorescence, electrical response, and spectroscopic signatures each provide a route for connecting an observation with physical or chemical characteristics. Selecting among these signal types helps align the analysis with the feature researchers need to measure or characterize.
A practical workflow begins by identifying the particle or material of interest, selecting a measurable signal, measuring that response, and relating it to relevant physical or chemical properties. The analysis can then focus on concentration, dimensions, composition, shape, or surface characteristics. Keeping these stages connected helps produce interpretable data rather than an isolated signal.
In drug-delivery systems and tissue-engineering materials, measurements support quality control by checking whether materials have the intended characteristics and remain sufficiently stable. Characterization data can reveal changes in size, composition, surface properties, or concentration. These results help bioengineers compare preparations, monitor consistency, and improve reproducibility during material development.
Detection methods can follow nanoparticle transport and cellular uptake, then help assess stability, degradation, and biological safety. In this context, the measurements connect a material’s observed behavior with its role in a biological system. The resulting information can guide the design of functional nanomedicines and biomaterials while supporting evaluation of their performance and safety.