Critical evaluation of Nanoparticle Tracking Analysis (NTA) by NanoSight for the measurement of nanoparticles and protein aggregates
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PURPOSE: To 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. METHODS: Standard 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. RESULTS: NTA 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. CONCLUSION: NTA is a powerful characterization technique that complements DLS and is particularly valuable for analyzing polydisperse nanosized particles and protein aggregates.
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Nanoparticle tracking analysis has a lower detection limit compared to dynamic light scattering.
“In addition, NTA has a lower detection limit as compared to DLS [107].”
From Iron oxide nanoparticles: Diagnostic, therapeutic and theranostic applications (2019) · cites this paper as [107]
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Cites
Drug-like properties and the causes of poor solubility and poor permeability
Lipinski, C. A. (2000) · Journal of Pharmacological and Toxicological Methods · doi:10.1016/s1056-8719(00)00107-6 · Cited by 3,776 · see citing works
Dynamic Light Scattering: With Applications to Chemistry, Biology, and Physics
Berne, B. J., & Pecora, R. (1976) · CERN Document Server (European Organization for Nuclear Research) · Cited by 2,854 · see citing works
Protein drug stability: a formulation challenge
Frøkjær, S., & Otzen, D. E. (2005) · Nature Reviews Drug Discovery · doi:10.1038/nrd1695 · Cited by 1,102 · see citing works
Protein aggregation: Pathways, induction factors and analysis
Mahler, H., Frieß, W., Grauschopf, U., & Kiese, S. (2008) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.21566 · Cited by 902 · see citing works
Protein aggregation and bioprocessing
Cromwell, M. E. M., Hilario, E., & Jacobson, F. (2006) · The AAPS Journal · doi:10.1208/aapsj080366 · Cited by 758 · see citing works
Carpenter, J. F., Randolph, T. W., Jiskoot, W., Crommelin, D. J. A., Middaugh, C. R., Winter, G., Fan, Y., Kirshner, S., Verthelyi, D. I., Kozlowski, S., et al. (2008) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.21530 · Cited by 597 · see citing works
Self-citationRevisiting the method of cumulants for the analysis of dynamic light-scattering data
Frisken, B. J. (2001) · Applied Optics · doi:10.1364/ao.40.004087 · Cited by 553 · see citing works
Bioequivalence and the immunogenicity of biopharmaceuticals
Schellekens, H. (2002) · Nature Reviews Drug Discovery · doi:10.1038/nrd818 · Cited by 534 · see citing works
Macromolecular Size-and-Shape Distributions by Sedimentation Velocity Analytical Ultracentrifugation
Brown, P. H., & Schuck, P. (2006) · Biophysical Journal · doi:10.1529/biophysj.106.081372 · Cited by 523 · see citing works
Bootz, A., Vogel, V., Schubert, D., & Kreuter, J. (2003) · European Journal of Pharmaceutics and Biopharmaceutics · doi:10.1016/s0939-6411(03)00193-0 · Cited by 431 · see citing works
Measuring sub nanometre sizes using dynamic light scattering
Kaszuba, M., McKnight, D., Connah, M. T., et al. (2007) · Journal of Nanoparticle Research · doi:10.1007/s11051-007-9317-4 · Cited by 361 · see citing works
Emerging Trends in Oral Delivery of Peptide and Protein Drugs
Mahato, R. I., Narang, A. S., Thoma, L. A., & Miller, D. D. (2003) · Critical Reviews in Therapeutic Drug Carrier Systems · doi:10.1615/critrevtherdrugcarriersyst.v20.i23.30 · Cited by 352 · see citing works
Induction and analysis of aggregates in a liquid IgG1-antibody formulation
Mahler, H., Müller, R., Frieβ, W., et al. (2005) · European Journal of Pharmaceutics and Biopharmaceutics · doi:10.1016/j.ejpb.2004.12.004 · Cited by 310 · see citing works
Response of a concentrated monoclonal antibody formulation to high shear
Bee, J. S., Stevenson, J. L., Mehta, B., et al. (2009) · Biotechnology and Bioengineering · doi:10.1002/bit.22336 · Cited by 204 · see citing works
A critical review of methods for size characterization of non-particulate protein aggregates
Philo, J. (2009) · Current Pharmaceutical Biotechnology · doi:10.2174/138920109788488815 · Cited by 196 · see citing works
Mechanistic study of the adjuvant effect of biodegradable nanoparticles in mucosal vaccination
Slütter, B., Plapied, L., Fievez, V., Alonso, M. J., Rieux, A. D., Schneider, Y., van Riet, E., Jiskoot, W., & Véronique Préat, A. (2009) · Journal of Controlled Release · doi:10.1016/j.jconrel.2009.05.011 · Cited by 192 · see citing works
Self-citationMethods for structural analysis of protein pharmaceuticals
Jiskoot, W., & Crommelin, D. J. A. (2005) · Cited by 181 · see citing works
Self-citationFraunhofer, W., Winter, G., & Coester, C. (2004) · Analytical Chemistry · doi:10.1021/ac0353031 · Cited by 115 · see citing works
Immunological Risk of Injectable Drug Delivery Systems
Jiskoot, W., van Schie, R. M., Carstens, M. G., & Schellekens, H. (2009) · Pharmaceutical Research · doi:10.1007/s11095-009-9855-9 · Cited by 97 · see citing works
Self-citationInsulin association in neutral solutions studied by light scattering
Hvidt, S. (1991) · Biophysical Chemistry · doi:10.1016/0301-4622(91)85023-j · Cited by 79 · see citing works
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New developments in liposomal drug delivery
Pattni, B. S., Chupin, V. V., & Torchilin, V. P. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00046 · Cited by 1,600 · see citing works
Iron oxide nanoparticles: Diagnostic, therapeutic and theranostic applications
Dadfar, S. M., Roemhild, K., Drude, N. I., von Stillfried, S., Knüchel, R., Kiessling, F., & Lammers, T. (2019) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2019.01.005 · Cited by 1,181 · see citing works
Characterisation of nanoplastics during the degradation of polystyrene
Lambert, S., & Wagner, M. (2016) · Chemosphere · doi:10.1016/j.chemosphere.2015.11.078 · Cited by 1,075 · see citing works
Exosome Processing and Characterization Approaches for Research and Technology Development
Lai, J. J., Chau, Z. L., Chen, S., Hill, J. J., Korpany, K. V., Liang, N., Lin, L., Lin, Y., Liu, J. K., Liu, Y., et al. (2022) · Advanced Science · doi:10.1002/advs.202103222 · Cited by 623 · see citing works
Methods for the analysis of submicrometer- and nanoplastic particles in the environment
Schwaferts, C., Niessner, R., Elsner, M., & Ivleva, N. P. (2019) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2018.12.014 · Cited by 522 · see citing works
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Hutcheson, J. D., Goettsch, C., Bertazzo, S., Maldonado, N., Ruiz, J. L., Goh, W., Yabusaki, K., Faits, T., Bouten, C., Franck, G., et al. (2016) · Nature Materials · doi:10.1038/nmat4519 · Cited by 419 · see citing works
A review: using nanoparticles to enhance absorption and bioavailability of phenolic phytochemicals
Li, Z., Jiang, H., Xu, C., & Gu, L. (2015) · Food Hydrocolloids · doi:10.1016/j.foodhyd.2014.05.010 · Cited by 376 · see citing works
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Aatonen, M. T., Öhman, T., Nyman, T. A., Laitinen, S., Grönholm, M., & Siljander, P. R. ‐. (2014) · Journal of Extracellular Vesicles · doi:10.3402/jev.v3.24692 · Cited by 333 · see citing works
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Mudalige, T., Qu, H., Van Haute, D., Ansar, S. M., Paredes, A., & Ingle, T. (2019) · Nanomaterials for Food Applications · doi:10.1016/b978-0-12-814130-4.00011-7 · Cited by 261 · see citing works
Coradini, K., Lima, F. O., Oliveira, C. M., Chaves, P. S., Athayde, M. L., Carvalho, L. M., & Beck, R. C. R. (2014) · European Journal of Pharmaceutics and Biopharmaceutics · doi:10.1016/j.ejpb.2014.04.009 · Cited by 200 · see citing works
Oliveira, C. A. D., Peres, D. D., Graziola, F., Chacra, N. A. B., Araújo, G. L. B. D., Flórido, A. C., Mota, J., Rosado, C., Velasco, M. V. R., Rodrigues, L. M., et al. (2016) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2015.09.016 · Cited by 118 · see citing works
Hou, J., Ci, H., Wang, P., Wang, C., Lv, B., Miao, L., & You, G. (2018) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2018.08.010 · Cited by 87 · see citing works
The nasal delivery of nanoencapsulated statins – an approach for brain delivery
Clementino, A., Batger, M., Garrastazu, G., Pozzoli, M., Del Favero, E., Rondelli, V., Gutfilen, B., Barboza, T., Sukkar, M. B., Souza, S. A. L., et al. (2016) · International Journal of Nanomedicine · doi:10.2147/ijn.s119033 · Cited by 81 · see citing works
A novel population of extracellular vesicles smaller than exosomes promotes cell proliferation
Lee, S.-S., Won, J.-H., Lim, G. J., Han, J., Lee, J. Y., Cho, K.-O., & Bae, Y.-K. (2019) · Cell Communication and Signaling · doi:10.1186/s12964-019-0401-z · Cited by 79 · see citing works
Proteins behaving badly: emerging technologies in profiling biopharmaceutical aggregation
Hamrang, Z., Rattray, N. J. W., & Pluen, A. (2013) · Trends in Biotechnology · doi:10.1016/j.tibtech.2013.05.004 · Cited by 75 · see citing works
The Dichotomous Role of Extracellular Vesicles in the Central Nervous System
Graykowski, D. R., Wang, Y.-Z., Upadhyay, A., & Savas, J. N. (2020) · iScience · doi:10.1016/j.isci.2020.101456 · Cited by 39 · see citing works
Matrix-Bound Nanovesicles: The Effects of Isolation Method upon Yield, Purity, and Function
Quijano, L. M., Naranjo, J. D., El-Mossier, S. O., Turner, N. J., Pineda Molina, C., Bartolacci, J., Zhang, L., White, L., Li, H., & Badylak, S. F. (2020) · Tissue Engineering Part C: Methods · doi:10.1089/ten.tec.2020.0243 · Cited by 38 · see citing works
- Authors
- Filipe, V., Hawe, A., & Jiskoot, W.
- Affiliations
- Leiden University (NL)
- Corresponding author
- Jiskoot, Wim
- Venue
- Pharmaceutical Research
- Published
- 2010-03-04
- Volume
- 27
- Issue
- 5
- Pages
- 796-810
- ISSN
- 0724-8741 (ISSN-L)
- 1573-904X
- PMC
- PMC2852530
- OpenAlex
- W2131083445
- Cited by
- 1,885
- References
- 20
- Citations by year
- 2026: 112 · 2025: 149 · 2024: 127 · 2023: 132 · 2022: 123 · 2021: 172 · 2020: 138 · 2019: 143 · 2018: 134 · 2017: 112 · 2016: 152 · 2015: 109 · 2014: 87 · 2013: 75 · 2012: 72
- FWCI
- 60.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Pharmaceutical Research (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › Field-Flow Fractionation Techniques
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Physical Sciences › Chemistry › Analytical Chemistry › Analytical Methods in Pharmaceuticals
- Keywords
- nanoparticle tracking analysis, dynamic light scattering, nanoparticle size distribution, protein aggregates, drug delivery nanoparticles, heat-induced protein aggregation, aggregation kinetics, polydisperse particles, polystyrene microspheres
- MeSH terms
- Algorithms, Excipients, Immunoglobulin G, Light, Particle Size, Polystyrenes, Proteins, Scattering, Radiation, Software, Viscosity, Drug Delivery Systems, Nanotechnology, Nanoparticles
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