The Institute for Agricultural and Fisheries Research (ILVO), Technology and Food Science Unit, Agricultural Engineering, Merelbeke, Belgium.
BIOSYST-MeBioS, KU Leuven, Leuven, Belgium.
Pest Manag Sci. 2017 Jul;73(7):1310-1321. doi: 10.1002/ps.4526. Epub 2017 Feb 15.
Particle size is one of the most important properties affecting the driftability and behaviour of dust particles abraded from pesticide dressed seeds during sowing. Three particle sizing techniques were used determine the particle size distribution of dust abraded from seeds from six different species.
Important differences in dust particle size distribution between species were observed with the finest dust for rapeseed and the coarsest dust for barley. Wet laser diffraction and sonic sieving particle size results correlated well while micro-CT is able to deliver three-dimensional information and additional physical particle properties (shape, porosity).
All particle sizing techniques have their (dis)advantages and none of them is able to perfectly describe the real size distribution of non-spherical particles. The particle size information gathered can be used in dust drift prediction models, risk assessment tools and will help to better understand the dust drift phenomenon. © 2017 Society of Chemical Industry.
粒径是影响播种过程中由包衣种子磨损产生的粉尘颗粒飘移性和行为的最重要特性之一。使用三种粒径测定技术来确定六种不同物种种子磨损产生的粉尘的粒径分布。
观察到不同物种的粉尘粒径分布存在显著差异,油菜籽产生的粉尘最细,而大麦产生的粉尘最粗。湿激光衍射和超声筛分的粒径结果相关性较好,而微计算机断层扫描能够提供三维信息和额外的物理颗粒特性(形状、孔隙率)。
所有粒径测定技术都有其(优)缺点,没有一种技术能够完美描述非球形颗粒的真实粒径分布。所收集的粒径信息可用于粉尘飘移预测模型、风险评估工具,并有助于更好地理解粉尘飘移现象。 © 2017 英国化学工程师学会。