Cargando…

Facile and Quantitative Method for Estimating the Isolation Degree of Cellulose Nanocrystals (CNCs) Suspensions

The isolation degree of cellulose nanocrystals (CNCs) suspensions calculated from the amount of sediments obtained with the centrifugation method can be estimated with turbidimetry, surface charge and dispersion analysis of the CNCs suspension. Three different types of raw cellulosic materials were...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Minwoo, Heo, Minhaeng, Lee, Hyunho, Shin, Jihoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585153/
https://www.ncbi.nlm.nih.gov/pubmed/34771990
http://dx.doi.org/10.3390/ma14216463
_version_ 1784597622493806592
author Lee, Minwoo
Heo, Minhaeng
Lee, Hyunho
Shin, Jihoon
author_facet Lee, Minwoo
Heo, Minhaeng
Lee, Hyunho
Shin, Jihoon
author_sort Lee, Minwoo
collection PubMed
description The isolation degree of cellulose nanocrystals (CNCs) suspensions calculated from the amount of sediments obtained with the centrifugation method can be estimated with turbidimetry, surface charge and dispersion analysis of the CNCs suspension. Three different types of raw cellulosic materials were used and carried out with an acid hydrolysis and mechanical disintegration. As the number of high-pressure homogenizer treatments increased, the isolation degree of CNCs from microcrystalline cellulose (MCC) increased from 2.3 to 99.6%, while the absorbencies from turbidimetric measurement of the CNCs suspension decreased, from 2.6 to 0.1 Abs units. Furthermore, the surface charges based on zeta potential measurements of the CNCs suspensions increased from −34.6 to −98.7 mV, but the heights of sediments from the CNCs suspensions were reduced, from 4.01 to 0.07 mm. Similar results were obtained for CNCs from softwood pulp (SWP) and cotton pulp (CP). These results show a direct correlation between yield, turbidity, surface charge and sedimentation of CNCs suspensions. Their correlation indices (0.9) were close to a maximal value of 1. This approach can be suggested as a facile and rapid estimation method for CNCs manufacturing process.
format Online
Article
Text
id pubmed-8585153
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-85851532021-11-12 Facile and Quantitative Method for Estimating the Isolation Degree of Cellulose Nanocrystals (CNCs) Suspensions Lee, Minwoo Heo, Minhaeng Lee, Hyunho Shin, Jihoon Materials (Basel) Article The isolation degree of cellulose nanocrystals (CNCs) suspensions calculated from the amount of sediments obtained with the centrifugation method can be estimated with turbidimetry, surface charge and dispersion analysis of the CNCs suspension. Three different types of raw cellulosic materials were used and carried out with an acid hydrolysis and mechanical disintegration. As the number of high-pressure homogenizer treatments increased, the isolation degree of CNCs from microcrystalline cellulose (MCC) increased from 2.3 to 99.6%, while the absorbencies from turbidimetric measurement of the CNCs suspension decreased, from 2.6 to 0.1 Abs units. Furthermore, the surface charges based on zeta potential measurements of the CNCs suspensions increased from −34.6 to −98.7 mV, but the heights of sediments from the CNCs suspensions were reduced, from 4.01 to 0.07 mm. Similar results were obtained for CNCs from softwood pulp (SWP) and cotton pulp (CP). These results show a direct correlation between yield, turbidity, surface charge and sedimentation of CNCs suspensions. Their correlation indices (0.9) were close to a maximal value of 1. This approach can be suggested as a facile and rapid estimation method for CNCs manufacturing process. MDPI 2021-10-28 /pmc/articles/PMC8585153/ /pubmed/34771990 http://dx.doi.org/10.3390/ma14216463 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Minwoo
Heo, Minhaeng
Lee, Hyunho
Shin, Jihoon
Facile and Quantitative Method for Estimating the Isolation Degree of Cellulose Nanocrystals (CNCs) Suspensions
title Facile and Quantitative Method for Estimating the Isolation Degree of Cellulose Nanocrystals (CNCs) Suspensions
title_full Facile and Quantitative Method for Estimating the Isolation Degree of Cellulose Nanocrystals (CNCs) Suspensions
title_fullStr Facile and Quantitative Method for Estimating the Isolation Degree of Cellulose Nanocrystals (CNCs) Suspensions
title_full_unstemmed Facile and Quantitative Method for Estimating the Isolation Degree of Cellulose Nanocrystals (CNCs) Suspensions
title_short Facile and Quantitative Method for Estimating the Isolation Degree of Cellulose Nanocrystals (CNCs) Suspensions
title_sort facile and quantitative method for estimating the isolation degree of cellulose nanocrystals (cncs) suspensions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585153/
https://www.ncbi.nlm.nih.gov/pubmed/34771990
http://dx.doi.org/10.3390/ma14216463
work_keys_str_mv AT leeminwoo facileandquantitativemethodforestimatingtheisolationdegreeofcellulosenanocrystalscncssuspensions
AT heominhaeng facileandquantitativemethodforestimatingtheisolationdegreeofcellulosenanocrystalscncssuspensions
AT leehyunho facileandquantitativemethodforestimatingtheisolationdegreeofcellulosenanocrystalscncssuspensions
AT shinjihoon facileandquantitativemethodforestimatingtheisolationdegreeofcellulosenanocrystalscncssuspensions