Analysis of elemental content and map of beech leaves by PIXE and micro-PIXE

K. Saitoh, K. Sera, M. Oikawa, H. Shimizu
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引用次数: 1

Abstract

As part of a biomonitoring study of atmospheric particles for the development of a biological and environmental monitoring system in the beech (Fagus crenata Blume) forest ecosystem, we carried out elemental content and two-dimensional analysis of beech leaves by conventional PIXE and micro-PIXE. The beech leaves were collected from natural beech forests at eight locations in Japan. For conventional PIXE analysis of beech leaf samples, 27 elements were determined in total. Mg, P, S, K, Ca, Mn, Fe, Cu and Zn were found to be the important nutrient elements for plants at all sampling sites. According to radar chart analysis results for element (Mg, P, S, K, Ca, Mn, Fe, Cu and Zn) concentrations at each sampling site, K and P, Fe and Ca, and Zn and Cu showed relatively similar patterns. However, elements with a pattern similar to that of Mg, S, and Mn were not found. These elemental concentrations were largely different at beech leaf sampling sites. For micro-PIXE analysis of beech leaf samples from seven sampling sites (Soebetsu beech forest was excluded), scanning transmission ion microscopy (STIM) images and maps of Mg, Si, P, S, K, Ca, Mn and Fe were similar. In samples from Soebetsu beech forest, portions missing from the element distribution were observed. In particular, maps of Mg, Si, P, S, K and Ca were conspicuous. These analysis results may be important information for understanding the mechanism of plant metabolism.
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山毛榉叶片元素含量的PIXE和微PIXE分析与制图
为建立山毛榉(Fagus creata Blume)森林生态系统的生物与环境监测系统,开展了大气颗粒物的生物监测研究,利用传统的PIXE和微PIXE对山毛榉叶片进行了元素含量和二维分析。这些山毛榉树叶是从日本八个地点的天然山毛榉林中收集的。对山毛榉叶片样品进行常规的pixie分析,共测定了27种元素。Mg、P、S、K、Ca、Mn、Fe、Cu和Zn是各样点植物的重要营养元素。各采样点元素(Mg、P、S、K、Ca、Mn、Fe、Cu和Zn)浓度的雷达图分析结果显示,K和P、Fe和Ca、Zn和Cu的分布规律较为相似。然而,没有发现与Mg、S和Mn相似的模式元素。这些元素的浓度在不同的山毛榉叶取样点差异很大。对七个采样点(不包括苏别苏山毛榉林)的山毛榉叶片样品进行微像素分析,扫描透射离子显微镜(STIM)图像与Mg、Si、P、S、K、Ca、Mn和Fe的图谱相似。在苏别苏山毛榉林样品中,观察到元素分布中缺失的部分。其中,Mg、Si、P、S、K、Ca的图谱较为明显。这些分析结果可能为了解植物代谢机制提供重要信息。
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