Türker-Kaya Sevgi, Huck Christian W
Department of Biology, Faculty of Arts and Sciences, Kocaeli University, 41380 Kocaeli, Turkey.
Institute of Analytical Chemistry and Radiochemistry, CCB-Center for Chemistry and Biomedicine, Leopold-Franzens University, Innrain 80-82, 6020 Innsbruck, Austria.
Molecules. 2017 Jan 20;22(1):168. doi: 10.3390/molecules22010168.
Plant cells, tissues and organs are composed of various biomolecules arranged as structurally diverse units, which represent heterogeneity at microscopic levels. Molecular knowledge about those constituents with their localization in such complexity is very crucial for both basic and applied plant sciences. In this context, infrared imaging techniques have advantages over conventional methods to investigate heterogeneous plant structures in providing quantitative and qualitative analyses with spatial distribution of the components. Thus, particularly, with the use of proper analytical approaches and sampling methods, these technologies offer significant information for the studies on plant classification, physiology, ecology, genetics, pathology and other related disciplines. This review aims to present a general perspective about near-infrared and mid-infrared imaging/microspectroscopy in plant research. It is addressed to compare potentialities of these methodologies with their advantages and limitations. With regard to the organization of the document, the first section will introduce the respective underlying principles followed by instrumentation, sampling techniques, sample preparations, measurement, and an overview of spectral pre-processing and multivariate analysis. The last section will review selected applications in the literature.
植物细胞、组织和器官由各种生物分子组成,这些生物分子排列成结构多样的单元,在微观层面表现出异质性。了解这些成分及其在如此复杂结构中的定位的分子知识,对基础植物科学和应用植物科学都至关重要。在这种情况下,红外成像技术相对于传统方法在研究异质植物结构方面具有优势,能够对成分的空间分布进行定量和定性分析。因此,特别是通过使用适当的分析方法和采样方法,这些技术为植物分类、生理学、生态学、遗传学、病理学及其他相关学科的研究提供了重要信息。本综述旨在呈现关于近红外和中红外成像/显微光谱技术在植物研究中的总体观点。旨在比较这些方法的潜力及其优缺点。关于文档的组织,第一部分将介绍各自的基本原理,随后是仪器设备、采样技术、样品制备、测量以及光谱预处理和多变量分析的概述。最后一部分将回顾文献中选定的应用。