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Sticky Measurement Problem: Number Concentration of Agglomerated Nanoparticles
National Physical Laboratory, UK.
LGC Limited, UK.
Wageningen University & Research, Netherlands.
RISE - Research Institutes of Sweden, Bioscience and Materials, Surface, Process and Formulation.ORCID iD: 0000-0001-8650-4741
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2019 (English)In: Langmuir, ISSN 0743-7463, E-ISSN 1520-5827, Vol. 35, no 14, p. 4927-4935Article in journal (Refereed) Published
Abstract [en]

Measuring the number concentration of colloidal nanoparticles (NPs) is critical for assessing reproducibility, enabling compliance with regulation, and performing risk assessments of NP-enabled products. For nanomedicines, their number concentration directly relates to their dose. However, the lack of relevant reference materials and established traceable measurement approaches make the validation of methods for NP number concentration difficult. Furthermore, commercial products often exhibit agglomeration, but guidelines for dealing with nonideal samples are scarce. We have compared the performance of five benchtop measurement methods for the measurement of colloidal number concentration in the presence of different levels of agglomeration. The methods are UV-visible spectroscopy, differential centrifugal sedimentation, dynamic light scattering, particle tracking analysis, and single-particle inductively coupled plasma mass spectrometry. We find that both ensemble and particle-by-particle methods are in close agreement for monodisperse NP samples and three methods are within 20% agreement for agglomerated samples. We discuss the sources of measurement uncertainties, including how particle agglomeration affects measurement results. This work is a first step toward validation and expansion of the toolbox of methods available for the measurement of real-world NP products.

Place, publisher, year, edition, pages
2019. Vol. 35, no 14, p. 4927-4935
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Natural Sciences
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URN: urn:nbn:se:ri:diva-38275DOI: 10.1021/acs.langmuir.8b04209PubMedID: 30869903OAI: oai:DiVA.org:ri-38275DiVA, id: diva2:1301607
Available from: 2019-04-02 Created: 2019-04-02 Last updated: 2019-07-01Bibliographically approved

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Rissler, Jenny

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