Suppr超能文献

从宽带超声共振光谱中提取的叶片海绵薄壁组织层和栅栏薄壁组织层的表面密度

Surface Density of the Spongy and Palisade Parenchyma Layers of Leaves Extracted From Wideband Ultrasonic Resonance Spectra.

作者信息

Alvarez-Arenas T E G, Sancho-Knapik D, Peguero-Pina J J, Gil-Pelegrín Eustaquio

机构信息

Instituto de Tecnologías Físicas y de la Información (ITEFI), Spanish National Research Council (CSIC), Madrid, Spain.

Unidad de Recursos Forestales, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Zaragoza, Spain.

出版信息

Front Plant Sci. 2020 May 29;11:695. doi: 10.3389/fpls.2020.00695. eCollection 2020.

Abstract

The wide band and air-coupled ultrasonic resonant spectroscopy together with a modified Simulated Annealing metaheuristic algorithm and a 1D layered acoustic-model are used to resolve the structure of plant leaves. In particular, this paper focuses on the extraction of the surface density of the different layers of tissue in leaves having a relatively simple structure. There are three main reasons to select the surface density as the focus of this study: (i) it is a parameter directly extracted by the proposed technique and it requires no further processing, (ii) it is relevant in order to study the dynamic of the water within the different tissues of the leaves and also to study the differential development of the different tissues, and (iii) unlike other parameters provided by this technique (like resonant frequency, impedance, ultrasonic elastic modulus, or ultrasonic damping), this parameter can be easier to understand as it is a direct measure of mass per unit surface. The selection of leaves with a simple structure is justified by the convenience of avoiding an unnecessary complication of the data extraction step. In this work, the technique was applied to determine the surface density of the palisade and spongy parenchyma layers of tissue of , , and leaves. The first species was used to study the variation of the surface density at full turgor with the thickness of the leaf, while the two other species were used to study the variation of the surface densities with the variation in the leaf relative water content. Consistency of the results with other conventional measurements (like overall surface density, and cross-section optical and cryo-SEM images) is discussed. The results obtained reveal the potential of this technique; moreover, the technique presents the additional advantage that can be applied as it is completely non-invasive, non-destructive, fast, and equipment required is portable.

摘要

宽带和空气耦合超声共振光谱技术,结合改进的模拟退火元启发式算法和一维分层声学模型,用于解析植物叶片的结构。具体而言,本文着重于提取结构相对简单的叶片中不同组织层的表面密度。选择表面密度作为本研究重点有三个主要原因:(i)它是所提技术直接提取的参数,无需进一步处理;(ii)研究叶片不同组织内水分动态以及不同组织的差异发育时,它具有相关性;(iii)与该技术提供的其他参数(如共振频率、阻抗、超声弹性模量或超声阻尼)不同,这个参数更容易理解,因为它是单位表面质量的直接度量。选择结构简单的叶片是为了避免数据提取步骤出现不必要的复杂情况。在这项工作中,该技术被用于测定、和叶片的栅栏组织和海绵薄壁组织层的表面密度。第一种植物用于研究完全膨压下表面密度随叶片厚度的变化,而另外两种植物用于研究表面密度随叶片相对含水量变化的情况。讨论了结果与其他传统测量方法(如总体表面密度、横截面光学和低温扫描电子显微镜图像)的一致性。所得结果揭示了该技术的潜力;此外,该技术还具有额外优势,因其完全无创、无损、快速且所需设备便于携带,所以可以应用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验