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The Malvern NanoSight range of instruments utilizes Nanoparticle Tracking Analysis (NTA) to characterize nanoparticles from 10nm -2000nm* in solution. Each particle is individually but simultaneously analyzed by direct observation and measurement of diffusion events. This particle-by-particle methodology produces high resolution results for particle size distribution and concentration, while visual validation provides users with additional confidence in their data. Both particle size and concentration are measured, while a fluorescence mode provides differentiation of labelled or naturally fluorescing particles.
* sample dependent
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The need to characterize different properties of nanomaterials continues to grow rapidly. Since the commercialization of the technique in 2004, Nanoparticle tracking Analysis (NTA) has become increasingly prevalent in a wide variety of different rese...
NanoSight instruments with upgraded concentration measurement have increased concentration measurement accuracy and repeatability. This provides improved measurement robustness and removes the influence of user settings. Data is shown here that illus...
With ever-increasing amounts of nanomaterials being commercially produced and utilized, there exists a need to determine the lifecycle and fate of these materials, with an understandable focus on potentially toxic effects. This poster describes ...
This poster outlines an example where the methodology of Nanoparticle Tracking Analysis (NTA) is used to characterize nanoparticles for drug delivery purposes
NTA was successfully used to characterize a broad range of polymer particles and polymer suspensions for various applications including thermo responsive polymers, mix size polymer microspheres as well as drug delivery vesicles.
(Webinar - Recorded)
NTA is a relatively new addition to the lab but is already bringing value to several areas of research. For example, the ability to visualize particles over time is allowing one research group developing self-assembling proteins to trace the changes in size of their molecules over time to better understand the dynamics of aggregation.
Dr Krystelle Mafina,
Queen Mary University,
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