Cellulose microfibril orientation of Picea abies and its variability at the micron-level determined by Raman imaging.

Cellulose microfibril orientation of Picea abies and its variability at the micron-level determined by Raman imaging.
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DOI:
10.1093/jxb/erp325
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发表时间:
2010
影响因子:
6.9
通讯作者:
Fratzl P
Fratzl P
中科院分区:
生物学1区
文献类型:
--
作者:
Gierlinger N;Luss S;König C;Konnerth J;Eder M;Fratzl P

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植物细胞壁的功能特征取决于细胞壁聚合物的组成,以及它们在几纳米到几微米尺度上的高度有序的结构。使用线偏振激光获取的木材拉曼光谱包括有关聚合物成分以及纤维素微纤维相对于纤维轴的排列(微纤维角度)的信息。通过以 3° 为步长改变激光偏振方向,研究了纤维素和激光取向方向之间的依赖性。分别通过二次线性回归和偏最小二乘回归来描述带高比和光谱的方向依赖性变化。使用具有高决定系数 (R2> 0.99) 的模型和回归,预测了 S1 和 S2 层中的微纤维取向,通过拉曼成像方法在云杉正常木材、反向木材和压缩木材的横截面中进行区分。不同S2层中测得的微纤维角(MFA)范围为0°至49.9°,与X射线衍射测定结果一致。在几何样品和激光对准的前提下,精确的MFA预测可以完成所有植物组织中通过拉曼成像方法获得的微米级化学细胞壁设计的图像。
The functional characteristics of plant cell walls depend on the composition of the cell wall polymers, as well as on their highly ordered architecture at scales from a few nanometres to several microns. Raman spectra of wood acquired with linear polarized laser light include information about polymer composition as well as the alignment of cellulose microfibrils with respect to the fibre axis (microfibril angle). By changing the laser polarization direction in 3° steps, the dependency between cellulose and laser orientation direction was investigated. Orientation-dependent changes of band height ratios and spectra were described by quadratic linear regression and partial least square regressions, respectively. Using the models and regressions with high coefficients of determination (R2 > 0.99) microfibril orientation was predicted in the S1 and S2 layers distinguished by the Raman imaging approach in cross-sections of spruce normal, opposite, and compression wood. The determined microfibril angle (MFA) in the different S2 layers ranged from 0° to 49.9° and was in coincidence with X-ray diffraction determination. With the prerequisite of geometric sample and laser alignment, exact MFA prediction can complete the picture of the chemical cell wall design gained by the Raman imaging approach at the micron level in all plant tissues.
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