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Particle Size Distributions for Cellulose Nanocrystals Measured by Transmission Electron Microscopy: An
Juris Meija1, Michael Bushell1, Martin Couillard1
1National Research Council Canada, Ottawa, Ontario K1A 0R6, Canada.
Analytical Chemistry
|September 1, 2020
Summary
Measuring cellulose nanocrystals (CNCs) is challenging. This interlaboratory comparison found that CNC selection and sample preparation significantly impact size measurement results using transmission electron microscopy (TEM).
Area of Science:
- Materials Science
- Nanotechnology
- Analytical Chemistry
Background:
- Accurate particle size measurement of cellulose nanocrystals (CNCs) is crucial for reproducible manufacturing and reliable application performance.
- Challenges in CNC size characterization include broad size distributions, irregular shapes, and aggregation, necessitating standardized measurement protocols.
Purpose of the Study:
- To evaluate and compare transmission electron microscopy (TEM) protocols for image acquisition and analysis of CNCs across multiple laboratories.
- To identify key factors contributing to variability in CNC size measurements.
Main Methods:
- An interlaboratory comparison (ILC) involving 10 laboratories with varying expertise in imaging CNCs.
- Standardized CNC samples and detailed data acquisition/analysis protocols were provided to all participants.
- Image analysis utilized skew normal distribution fitting to accommodate data variability, with consensus values derived from interlaboratory variation modeling.
Main Results:
- Consensus CNC size distributions were established: mean length 95.8 nm (SD 38.2 nm, shape 6.3 nm) and mean width 7.7 nm (SD 2.2 nm, shape 2.9 nm).
- Variations in measured CNC widths were linked to differences in imaging resolution between laboratories.
- Discrepancies in measured length and width were primarily attributed to the selection of individual CNCs for analysis and variations in CNC agglomeration and staining.
Conclusions:
- The study highlights the significant impact of individual CNC selection and sample preparation (agglomeration, staining) on measurement outcomes.
- Differences in imaging resolution also contribute to variability, particularly in width measurements.
- Standardization of imaging and analysis protocols is essential for improving the reproducibility of CNC size characterization.

