Characterization of Size and Aggregation for Cellulose Nanocrystal Dispersions Separated by Asymmetrical-Flow Field-Flow Fractionation.
Asymmetrical-flow field-flow fractionation
Atomic force microscopy
Cellulose nanocrystals
Transmission electron microscopy
Journal
Cellulose (London, England)
ISSN: 0969-0239
Titre abrégé: Cellulose (Lond)
Pays: England
ID NLM: 101215688
Informations de publication
Date de publication:
2019
2019
Historique:
entrez:
23
11
2020
pubmed:
1
1
2019
medline:
1
1
2019
Statut:
ppublish
Résumé
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.
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Intramural NIST DOC
ID : 9999-NIST
Pays : United States
Références
Analyst. 2018 Feb 7;143(3):731-740
pubmed: 29322138
Nanoscale. 2017 Feb 2;9(5):1763-1786
pubmed: 28116390
Chem Soc Rev. 2011 Jul;40(7):3941-94
pubmed: 21566801
Angew Chem Int Ed Engl. 2011 Jun 6;50(24):5438-66
pubmed: 21598362
Langmuir. 2016 Jun 21;32(24):6105-14
pubmed: 27228219
Nanotoxicology. 2011 Dec;5(4):711-29
pubmed: 21073401
Anal Bioanal Chem. 2013 Feb;405(4):1191-202
pubmed: 23151656
Langmuir. 2015 May 26;31(20):5596-602
pubmed: 25918887
Biomacromolecules. 2012 Sep 10;13(9):2671-9
pubmed: 22849589
Chem Soc Rev. 2018 Apr 23;47(8):2609-2679
pubmed: 29658545
Langmuir. 2016 Jan 19;32(2):442-50
pubmed: 26684549
Chem Rev. 2018 Dec 26;118(24):11575-11625
pubmed: 30403346
Langmuir. 2009 Jan 6;25(1):497-502
pubmed: 19055323
Carbohydr Polym. 2013 Apr 15;94(1):154-69
pubmed: 23544524
Langmuir. 2016 Sep 27;32(38):9863-72
pubmed: 27584872