Evidence map›Paper›PMID 33223627›Full record

ArticleCellulose (London, England)2019

Characterization of Size and Aggregation for Cellulose Nanocrystal Dispersions Separated by Asymmetrical-Flow Field-Flow Fractionation.

Maohui Chen, Jeremie Parot, Arnab Mukherjee, Martin Couillard, Shan Zou, Vincent A Hackley, Linda J Johnston

Open access · greenAbstract read
In one paragraph

Article in Cellulose (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Maohui ChenNational Research Council Canada, Ottawa, ON, K1A 0R6, Canada.
Jeremie ParotNational Institute of Standards and Technology, Gaithersburg, Maryland, 20899-8520, USA.
Arnab MukherjeeNational Institute of Standards and Technology, Gaithersburg, Maryland, 20899-8520, USA.
Martin CouillardNational Research Council Canada, Ottawa, ON, K1A 0R6, Canada.
Shan ZouNational Research Council Canada, Ottawa, ON, K1A 0R6, Canada.
Vincent A HackleyNational Institute of Standards and Technology, Gaithersburg, Maryland, 20899-8520, USA.
Linda J JohnstonNational Research Council Canada, Ottawa, ON, K1A 0R6, Canada.
National Research Council Canada · CANational Institute of Standards and Technology · US

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

Cellulose nanocrystals (CNCs) derived from various types of cellulose biomass have significant potential for applications that take advantage of their availability from renewable natural resources and their high mechanical strength, biocompatibility and ease of modification. However, their high polydispersity and irregular rod-like shape present challenges for the quantitative dimensional determinations that are required for quality control of CNC production processes. Here we have fractionated a CNC certified reference material using a previously reported asymmetrical-flow field-flow fractionation (AF4) method and characterized selected fractions by atomic force microscopy (AFM) and transmission electron microscopy. This work was aimed at addressing discrepancies in length between fractionated and unfractionated CNC and obtaining less polydisperse samples with fewer aggregates to facilitate microscopy dimensional measurements. The results demonstrate that early fractions obtained from an analytical scale AF4 separation contain predominantly individual CNCs. The number of laterally aggregated "dimers" and clusters containing 3 or more particles increases with increasing fraction number. Size analysis of individual particles by AFM for the early fractions demonstrates that the measured CNC length increases with increasing fraction number, in good agreement with the rod length calculated from the AF4 multi-angle light scattering data. The ability to minimize aggregation and polydispersity for CNC samples has important implications for correlating data from different sizing methods.

Indexed as

Asymmetrical-flow field-flow fractionationAtomic force microscopyCellulose nanocrystalsTransmission electron microscopy

Identifiers

PMID33223627
PMCPMC7676384
OpenAlexW2993465447

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.