American University
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Particle size distributions for cellulose nanocrystals measured by transmission electron microscopy : An interlaboratory comparison

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journal contribution
posted on 2023-08-05, 13:12 authored by Juris Meija, Michael Bushnell, Martin Couillard, Stephanie Beck, John Bonevich, Kai Cui, John Foster, John Will, Douglas FoxDouglas Fox, Whirang Cho, Markus Heidelmann, Byong Chon Park, Yun Chang Park, Lingling Ren, Li Xu, Aleksandr B. Stefaniak, Alycia K. Knepp, Ralf Theissmann, Horst Purwin, Ziqiu Wang, Natalia de Val, Linda J. Johnston

Particle size is a key parameter that must be measured to ensure reproducible production of cellulose nanocrystals (CNCs) and to achieve reliable performance metrics for specific CNC applications. Nevertheless, size measurements for CNCs are challenging due to their broad size distribution, irregular rod-shaped particles, and propensity to aggregate and agglomerate. We report an interlaboratory comparison (ILC) that tests transmission electron microscopy (TEM) protocols for image acquisition and analysis. Samples of CNCs were prepared on TEM grids in a single laboratory, and detailed data acquisition and analysis protocols were provided to participants. CNCs were imaged and the size of individual particles was analyzed in 10 participating laboratories that represent a cross section of academic, industrial, and government laboratories with varying levels of experience with imaging CNCs. The data for each laboratory were fit to a skew normal distribution that accommodates the variability in central location and distribution width and asymmetries for the various datasets. Consensus values were obtained by modeling the variation between laboratories using a skew normal distribution. This approach gave consensus distributions with values for mean, standard deviation, and shape factor of 95.8, 38.2, and 6.3 nm for length and 7.7, 2.2, and 2.9 nm for width, respectively. Comparison of the degree of overlap between distributions for individual laboratories indicates that differences in imaging resolution contribute to the variation in measured widths. We conclude that the selection of individual CNCs for analysis and the variability in CNC agglomeration and staining are the main factors that lead to variations in measured length and width between laboratories.



American Chemical Society


Analytical Chemistry, Volume 92, Issue 19, Pages 13434 - 13442, 6 October 2020.


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