Cross-Sections of Nanocellulose from Wood Analyzed by Quantized Polydispersity of Elementary Microfibrils.
Cross-Sections of Nanocellulose from Wood Analyzed by Quantized Polydispersity of Elementary Microfibrils.
复制标题
通过基本微纤丝的量化多分散性分析木材纳米纤维素的横截面。
DOI：
10.1021/acsnano.0c04570
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发表时间：
2020-12-22
期刊：
影响因子：
17.1
通讯作者：
Hsiao BS
中科院分区：
文献类型：
--
作者：
Rosén T;He H;Wang R;Zhan C;Chodankar S;Fall A;Aulin C;Larsson PT;Lindström T;Hsiao BS
生物基纳米纤维素已被证明具有令人印象深刻的机械性能和简单的化学修饰。纳米材料的比表面积和官能度在很大程度上影响着其化学性质。然而，寻找纳米纤维素的典型横截面，如纤维素纳米纤维(CNF)，一直是一个长期存在的难题，提取方法的细微变化似乎会产生不同的形状和尺寸。在这里，我们用两种不同的氧化方法和不同的氧化程度和高压均质从木材中提取CNF。分别用小角X射线散射法和广角X射线衍射法对碳纳米纤维在分散状态和冻干状态下的横截面进行了表征，并假设横截面分布是由18链的基本微纤丝(构成细胞壁的构件)量化的。我们发现，无论样品的大小是2.4 nm左右，结果都与伪方单元很好地吻合，而聚集体能级强烈地依赖于提取条件。此外，我们发现聚集体具有平行于纤维素原纤维的(110)面的相界的优先凝聚力，导致平均带状形状。
Bio-based nanocellulose has been shown to possess impressive mechanical properties and simplicity for chemical modifications. The chemical properties are largely influenced by the surface area and functionality of the nanoscale materials. However, finding the typical cross-sections of nanocellulose, such as cellulose nanofibers (CNFs), has been a long-standing puzzle, where subtle changes in extraction methods seem to yield different shapes and dimensions. Here, we extracted CNFs from wood with two different oxidation methods and variations in degree of oxidation and high-pressure homogenization. The cross-sections of CNFs were characterized by small-angle X-ray scattering and wide-angle X-ray diffraction in dispersed and freeze-dried states, respectively, where the results were analyzed by assuming that the cross-sectional distribution was quantized with an 18-chain elementary microfibril, the building block of the cell wall. We find that the results agree well with a pseudosquare unit having a size of about 2.4 nm regardless of sample, while the aggregate level strongly depends on the extraction conditions. Furthermore, we find that aggregates have a preferred cohesion of phase boundaries parallel to the (110)-plane of the cellulose fibril, leading to a ribbon shape on average.
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影响因子：
4.6
作者：
Kubicki JD;Yang H;Sawada D;O'Neill H;Oehme D;Cosgrove D
通讯作者：
Cosgrove D
影响因子：
5.9
作者：
Daicho, Kazuho;Saito, Tsuguyuki;Isogai, Akira
通讯作者：
Isogai, Akira
影响因子：
3.4
作者：
Donaldson, Lloyd
通讯作者：
Donaldson, Lloyd
DOI：
10.1073/pnas.1108942108
发表时间：
2011-11-22
影响因子：
11.1
作者：
Fernandes, Anwesha N.;Thomas, Lynne H.;Jarvis, Michael C.
通讯作者：
Jarvis, Michael C.
影响因子：
15
作者：
Nishiyama, Y;Langan, P;Chanzy, H
通讯作者：
Chanzy, H