German Institutes of Textile and Fiber Research, Körschtalstraße 26, 73770, Denkendorf, Germany.
University of Bonn, Regina-Pacis-Weg 3, D-53113, Bonn, Germany.
Environ Sci Pollut Res Int. 2021 Oct;28(37):51763-51771. doi: 10.1007/s11356-021-14218-5. Epub 2021 May 15.
The identification of a model organism for investigations of fine dust deposits on moss leaflets was presented. An optical method with SEM enabled the quantitative detection of fine dust particles in two orders of magnitude. Selection criteria were developed with which further moss species can be identified in order to quantify the number of fine dust particles on moss surfaces using the presented method. Among the five moss species examined, B. rutabulum had proven to be the most suitable model organism for the method presented here. The number of fine dust particles on the moss surface of B. rutabulum was documented during 4 weeks of cultivation in the laboratory using SEM images and a counting method. The fine dust particles were recorded in the order of 10 μm-0.3 μm, divided into two size classes and counted. Under laboratory conditions, the number of particles of the fine fraction 2.4 μm-0.3 μm decreased significantly.
提出了一种用于研究苔藓小叶上细尘沉积的模式生物的鉴定方法。一种具有扫描电镜的光学方法能够定量检测两个数量级的细尘颗粒。已经制定了选择标准，可以用这些标准来识别其他苔藓物种，以便使用提出的方法来量化苔藓表面上的细尘颗粒数量。在所检查的五种苔藓物种中，B. rutabulum 已被证明是此处提出的方法最适合的模式生物。在实验室中使用 SEM 图像和计数方法培养 4 周期间，记录了 B. rutabulum 苔藓表面上的细尘颗粒数量。细尘颗粒按 10 μm-0.3 μm 的顺序记录，分为两个粒径进行计数。在实验室条件下，细颗粒 2.4 μm-0.3 μm 的颗粒数量显著减少。
