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Sánchez Salvador, José Luis and Campano Tiedra, Cristina and López Expósito, Patricio and Tarrés, Quim and Mutjé, Pere and Delgado Aguilar, Marc and Monte Lara, M. Concepción and Blanco Suárez, Ángeles (2021) Enhanced Morphological Characterization of Cellulose Nano/Microfibers through Image Skeleton Analysis. Nanomaterials, 11 (8). p. 2077. ISSN 2079-4991
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Official URL: https:// doi.org/10.3390/nano11082077
Abstract
The present paper proposes a novel approach for the morphological characterization of cellulose nano and microfibers suspensions (CMF/CNFs) based on the analysis of eroded CMF/CNF microscopy images. This approach offers a detailed morphological characterization and quantification of the micro and nanofibers networks present in the product, which allows the mode of fibrillation associated to the different CMF/CNF extraction conditions to be discerned. This information is needed to control CMF/CNF quality during industrial production. Five cellulose raw materials, from wood and non-wood sources, were subjected to mechanical, enzymatic, and (2,2,6,6-Tetramethylpiperidin-1-yl)oxyl (TEMPO)-mediated oxidative pre-treatments followed by different homogenization sequences to obtain products of different morphologies. Skeleton analysis of microscopy images provided in-depth morphological information of CMF/CNFs that, complemented with aspect ratio information, estimated from gel point data, allowed the quantification of: (i) fibers peeling after mechanical pretreatment; (ii) fibers shortening induced by enzymes, and (iii) CMF/CNF entanglement from TEMPO-mediated oxidation. Being mostly based on optical microscopy and image analysis, the present method is easy to implement at industrial scale as a tool to monitor and control CMF/CNF quality and homogeneity.
Item Type: | Article |
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Uncontrolled Keywords: | Cellulose nanofibers; Gel point; Image skeleton analysis; Microscopy; Morphology; Nanocellulose; Quality control |
Subjects: | Sciences > Chemistry > Paper industry Sciences > Chemistry > Chemical engineering |
ID Code: | 72946 |
Deposited On: | 17 Jun 2022 08:24 |
Last Modified: | 17 Jun 2022 10:32 |
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