Critical Evaluation of Nanoparticle Tracking Analysis (NTA) by NanoSight for the Measurement of Nanoparticles and Protein Aggregates

By Vasco Filipe, A. Hawe, W. Jiskoot. Pharmaceutical Research, 2010

1,782 citations recorded by the source corpus.

PurposeTo evaluate the nanoparticle tracking analysis (NTA) technique, compare it with dynamic light scattering (DLS) and test its performance in characterizing drug delivery nanoparticles and protein aggregates.MethodsStandard polystyrene beads of sizes ranging from 60 to 1,000 nm and physical mixtures thereof were analyzed with NTA and DLS. The influence of different ratios of particle populations was tested. Drug delivery nanoparticles and protein aggregates were analyzed by NTA and DLS. Live monitoring of heat-induced protein aggregation was performed with NTA.ResultsNTA was shown to accurately analyze the size distribution of monodisperse and polydisperse samples. Sample visualization and individual particle tracking are features that enable a thorough size distribution analysis. The presence of small amounts of large (1,000 nm) particles generally does not compromise the accuracy of NTA measurements, and a broad range of population ratios can easily be detected and accurately sized. NTA proved to be suitable to characterize drug delivery nanoparticles and protein aggregates, complementing DLS. Live monitoring of heat-induced protein aggregation provides information about aggregation kinetics and size of submicron aggregates.ConclusionNTA is a powerful characterization technique that complements DLS and is particularly valuable for analyzing polydisperse nanosized particles and protein aggregates.

Subfields: Biomaterials, Molecular Biology, Pharmaceutical Science

View Paper: https://www.semanticscholar.org/paper/d3a07923e7ff7c0e9110185b53c207b66b5497e8

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Citations in the corpus

Quantitative and stoichiometric analysis of the microRNA content of exosomes (2014, methodology): “Although the accuracy of exosome counts derived from NTA has been independently established (19, 35), we empirically validated this approach by comparing NTA-derived counts with those produced using an independent method of quantification: comparative fluorescence microscopy analysis (SI Materials a”
Quantitative characterization of nanoparticle agglomeration within biological media (2012, background): “Accuracy is also reliant on knowing the refractive index of the nanoparticles and the viscosity and refractive index of the dispersant (Berne and Pecora 2000; Filipe et al. 2010).”
Techniques for physicochemical characterization of nanomaterials (2013, methodology): “However, the functions of DLS are impacted by several disadvantages, such as difficulty in correlating size fractions with a particular composition when certain amounts of aggregates are present, dust particles interfering in the scattering intensity, and a relatively small range of particle or mole”
Characterisation of nanoplastics during the degradation of polystyrene (2016, background): “NTA allows individual particles to be analysed in liquid samples and its application on heterogeneous samples has previously been demonstrated (Filipe et al., 2010; Montes-Burgos et al., 2010; La Rocca et al., 2014).”
Nanoparticle classification, physicochemical properties, characterization, and applications: a comprehensive review for biologists (2022, neutral): “In DLS, individual NPs are not visualized, but instead, the time-dependent intensity fluctuations caused by Brownian motion are used to calculate the polydispersity index [145].”
Standardization of sample collection, isolation and analysis methods in extracellular vesicle research (2013, neutral): “Dynamic light scattering (DLS) calculates the average size of relatively monodisperse populations of isolated particles (220,257,258).”
Green nanobiotechnology: factors affecting synthesis and characterization techniques (2014, methodology): “With the help of this technique, the liquid nanoparticle suspension can be visualized directly and it has application in drug delivery encapsulated nanoparticles for controlled release or precise delivery of the drug to the specific targeted areas [70].”
Overview of Extracellular Vesicles, Their Origin, Composition, Purpose, and Methods for Exosome Isolation and Analysis (2019, methodology): “Therefore, NTA is best for differentiation of heterogenous populations of particles [139].”
Iron Oxide Nanoparticles: Diagnostic, Therapeutic and Theranostic Applications (2019, background): “For determining the hydrodynamic diameter and the hydrodynamic size distribution of iron oxide nanoparticles, dynamic light scattering (DLS) and nanoparticle tracking analysis (NTA) are employed.”
Impact of Particle Size and Polydispersity Index on the Clinical Applications of Lipidic Nanocarrier Systems (2018, methodology): “For NTA analysis, samples are injected into the special cell and then illuminated by laser light (635 nm) that passes through a liquid layer on the optical surface [104,105].”