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Infrared microspectroscopic imaging of plant tissues: spectral visualization of Triticum aestivum kernel and Arabidopsis leaf microstructure

机译:植物组织的红外显微成像:小麦粒和拟南芥叶片显微结构的光谱可视化

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摘要

Infrared microspectroscopy is a tool with potential for studies of the microstructure, chemical composition and functionality of plants at a subcellular level. Here we present the use of high-resolution bench top-based infrared microspectroscopy to investigate the microstructure of Triticum aestivum L. (wheat) kernels and Arabidopsis leaves. Images of isolated wheat kernel tissues and whole wheat kernels following hydrothermal processing and simulated gastric and duodenal digestion were generated, as well as images of Arabidopsis leaves at different points during a diurnal cycle. Individual cells and cell walls were resolved, and large structures within cells, such as starch granules and protein bodies, were clearly identified. Contrast was provided by converting the hyperspectral image cubes into false-colour images using either principal component analysis (PCA) overlays or by correlation analysis. The unsupervised PCA approach provided a clear view of the sample microstructure, whereas the correlation analysis was used to confirm the identity of different anatomical structures using the spectra from isolated components. It was then demonstrated that gelatinized and native starch within cells could be distinguished, and that the loss of starch during wheat digestion could be observed, as well as the accumulation of starch in leaves during a diurnal period.
机译:红外显微技术是一种有潜力用于研究亚细胞水平上植物的微观结构,化学组成和功能的工具。在这里,我们目前使用高分辨率台式红外光谱仪来研究小麦(小麦)仁和拟南芥叶片的微观结构。生成了经过水热处理和模拟的胃和十二指肠消化后的分离的小麦籽粒组织和全麦籽粒的图像,以及在昼夜周期中不同点的拟南芥叶片的图像。解析了单个细胞和细胞壁,并清楚地鉴定了细胞内的大结构,例如淀粉颗粒和蛋白质体。通过使用主成分分析(PCA)叠加或通过相关分析将高光谱图像立方体转换为伪彩色图像,可以提供对比度。无监督的PCA方法提供了样品微观结构的清晰视图,而相关分析则使用来自分离成分的光谱来确认不同解剖结构的身份。然后证明了可以区分细胞内的糊化淀粉和天然淀粉,并且可以观察到小麦消化过程中淀粉的损失以及昼夜期间叶片中淀粉的积累。

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