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閱讀：160 發(fā)布時(shí)間：2021-6-23| 提 供 商 | 美國(guó)布魯克海文儀器公司 | 資料大小 | 5.2MB |
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文獻(xiàn)名：In-depth characterization of the aggregation state of cellulose nanocrystals through analysis of transmission electron microscopy images
作者： Cristina Campanoa, Patricio Lopez-Expositob, Laura Gonzalez-Aguileraa, Ángeles Blancoa, Carlos Negroa
a Department of Chemical Engineering and Materials, Complutense University of Madrid.
Avda. Complutense s/n 28040 Madrid, Spain.
b Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de
Madrid, Leganés, Spain.
摘要：Dispersion of cellulose nanocrystals (CNCs) is of utmost importance to guarantee their reliable application. Nevertheless, there is still no consensual method to characterize CNC aggregation. The hypothesis of this paper is that dispersion could be quantified through the classification of aggregates detected in transmission electron microscopy images. k-Means was used to classify image particulate elements of five CNC samples into groups according to their geometric features. Particles were classified into five groups according to their maximum Feret diameter, elongation, circularity and area. Two groups encompassed the most application-critical aggregates: one integrated aggregates of high complexity and low compactness while the other included elongated aggregates. In addition, the characterization of CNC dispersion after different levels of sonication was achieved by assessing the change in the number of elements belonging to each cluster after sonication. This approach could be used as a standard for the characterization of the aggregation state of CNCs.
關(guān)鍵詞：Cellulose nanocrystals;Nanocellulose;Transmission electron microscopy;Aggregation state;k-Means clustering;Dispersion