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dc.contributor.author
Bushell, Michael
dc.contributor.author
Meija, Juris
dc.contributor.author
Chen, Maohui
dc.contributor.author
Batchelor, Warren
dc.contributor.author
Browne, Christine
dc.contributor.author
Cho, Jae-Young
dc.contributor.author
Clifford, Charles A.
dc.contributor.author
Al-Rekabi, Zeinab
dc.contributor.author
Vanderfleet, Oriana M.
dc.contributor.author
Cranston, Emily D.
dc.contributor.author
Lawn, Malcolm
dc.contributor.author
Coleman, Victoria A.
dc.contributor.author
Nyström, Gustav
dc.contributor.author
Arcari, Mario
dc.contributor.author
Mezzenga, Raffaele
dc.contributor.author
Park, Byong C.
dc.contributor.author
Shin, ChaeHo
dc.contributor.author
Ren, Lingling
dc.contributor.author
Bu, Tianjia
dc.contributor.author
Saito, Tsuguyuki
dc.contributor.author
Kaku, Yuto
dc.contributor.author
Wagner, Ryan
dc.contributor.author
Johnston, Linda J.
dc.date.accessioned
2021-03-25T14:47:57Z
dc.date.available
2021-01-27T06:19:19Z
dc.date.available
2021-02-09T12:35:30Z
dc.date.available
2021-03-25T14:47:57Z
dc.date.issued
2021-02
dc.identifier.issn
1572-882X
dc.identifier.issn
0969-0239
dc.identifier.other
10.1007/s10570-020-03618-4
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/465823
dc.description.abstract
Particle size measurements of cellulose nanocrystals (CNCs) are challenging due to their broad size distribution, irregular shape and propensity to agglomerate. Particle size is one of the key parameters that must be measured for quality control purposes and to differentiate materials with different properties. We report the results of an interlaboratory comparison (ILC) which examined atomic force microscopy (AFM) data acquisition and data analysis protocols. Samples of CNCs deposited on poly-L-lysine coated mica were prepared in the pilot laboratory and sent to 10 participating laboratories including academic, government and industrial organizations with varying levels of experience with imaging CNCs. The participant data sets indicated that the central location, width and asymmetry varied considerably for both length and height distributions. To deal with this variability we used a skew normal distribution to model the data from each laboratory and to obtain the consensus distribution that describes the CNC particle size. The skew normal distribution has 3 parameters: a central location (mean), distribution width (standard deviation) and asymmetry (shape) factor. This approach gave consensus distributions with mean, standard deviation and asymmetry factor of 94.9 nm, 37.3 nm and 6.0 for length and 3.4 nm, 1.2 nm and 2.8 for height, respectively. The use of multiple probes and/or deterioration of the probe with increased use are significant contributing factors to the variability in mean length between laboratories. There is less variability in height across participating laboratories and tests of applied imaging force indicate that it is possible to image without significant compression of the CNCs. The number of CNCs necessary to obtain a reliable data set depends on the probes and operating conditions, but with careful control of various parameters analysis of 250 and 300 CNCs should provide consistent data sets for height and length, respectively for one sample. Comparison of AFM with transmission electron microscopy (TEM) data obtained in the same ILC demonstrated excellent agreement between measured lengths for the 2 methods. By contrast AFM height was approximately one half the TEM width, a result that indicates the presence of a significant number of laterally agglomerated particles, consistent with literature data.
en_US
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.subject
Cellulose nanocrystals
en_US
dc.subject
Atomic force microscopy
en_US
dc.subject
Particle size distributions
en_US
dc.subject
Interlaboratory comparison
en_US
dc.title
Particle size distributions for cellulose nanocrystals measured by atomic force microscopy: an interlaboratory comparison
en_US
dc.type
Journal Article
dc.date.published
2021-01-06
ethz.journal.title
Cellulose
ethz.journal.volume
28
en_US
ethz.journal.issue
3
en_US
ethz.pages.start
1387
en_US
ethz.pages.end
1403
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Dordrecht
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::02701 - Inst.f. Lebensmittelwiss.,Ernährung,Ges. / Institute of Food, Nutrition, and Health::03857 - Mezzenga, Raffaele / Mezzenga, Raffaele
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::02701 - Inst.f. Lebensmittelwiss.,Ernährung,Ges. / Institute of Food, Nutrition, and Health::03857 - Mezzenga, Raffaele / Mezzenga, Raffaele
ethz.date.deposited
2021-01-27T06:19:23Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-03-25T14:48:05Z
ethz.rosetta.lastUpdated
2022-03-29T05:59:43Z
ethz.rosetta.versionExported
true
ethz.COinS
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