New Measuring Technique for Multi-Dimensional Characterization of Nanoparticles

纳米颗粒多维表征的新测量技术

• 批准号: 444815529
• 负责人: Professor Dr.-Ing. Hans-Joachim Schmid
• 金额: --
• 依托单位: Lehrstuhl für Partikelverfahrenstechnik
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/444815529?language=en
• 关键词: New; Measuring; Technique; Multi; Dimensional

Existing particle characterization methods typically measure the distribution of one specific physical property of the particles. However, for non-spherical particles this is often not sufficient to describe their complex properties to the required extent. The SPP 2045 aims for a multi-dimensional fractionation according to different particle characteristics. Therefore, it is essential to be able to characterize the disperse properties of the involved particle systems comprehensively and regarding multiple properties in order to quantify the fractionation results. The aim of this research proposal is the development of a novel measuring principle for the direct 2D characterization of submicron particle systems, which allows to determine the complete, two-dimensional frequency distribution of the mass as well as the mobility equivalent diameter with the help of one compact device. From this multidimensional distribution, further information can be derived, e.g. on the distribution of shape and structural properties of the particles. The measurement method is based on an already existing method for the analytical separation of particles in a rotating cylindrical gap, which is now extended by a superimposed electric field. A laboratory set-up is built in order to characterize its transfer function thoroughly. A detailed simulation of all relevant effects during the classification shall allow a precise prediction of the transfer behaviour. This model is in turn necessary in order to obtain the desired distribution with regard to mass and mobility diameter from the directly determined 2D distribution with regard to speed and voltage. However, since this is a mathematically ill-posed problem, a suitable inversion algorithm is required. Therefore, this research project also addresses the application of novel data inversion strategies to reconstruct the desired two-dimensional distributions. The method is to be successively tested using model particles and complex particle systems with defined properties. The method will then be used in various projects of the SPP 2045 to demonstrate its ability to evaluate the respective fractionation and thus make an important contribution to these projects. It is expected that this research project will also contribute beyond the SPP to significantly improve the characterization of complex particle systems and will make an important contribution to a better fundamental understanding of the disperse properties of complex particle systems.

现有的颗粒表征方法通常测量颗粒的一种特定物理性质的分布。然而，对于非球形颗粒，这通常不足以在所需程度上描述其复杂性质。SPP 2045旨在根据不同的颗粒特性进行多维分级。因此，必须能够全面表征所涉及颗粒系统的分散特性，并考虑多种特性，以便量化分级结果。该研究提案的目的是开发一种新的测量原理，用于亚微米颗粒系统的直接2D表征，该原理允许在一个紧凑设备的帮助下确定质量的完整二维频率分布以及迁移率等效直径。从该多维分布中，可以导出例如关于颗粒的形状和结构性质的分布的进一步信息。该测量方法是基于一个已经存在的方法，用于分析分离的颗粒在旋转的圆柱形间隙，这是现在扩展的叠加电场。一个实验室的设置，以彻底表征其传递函数。分类期间所有相关影响的详细模拟应允许对转移行为进行精确预测。为了从直接确定的关于速度和电压的2D分布获得关于质量和迁移率直径的期望分布，该模型又是必要的。然而，由于这是一个数学不适定的问题，需要一个合适的反演算法。因此，本研究项目还提出了新的数据反演策略的应用，以重建所需的二维分布。该方法是连续使用模型粒子和复杂的粒子系统与定义的属性进行测试。然后，该方法将用于SPP 2045的各种项目中，以证明其评估相应分馏的能力，从而为这些项目做出重要贡献。预计该研究项目还将有助于超越SPP，以显着改善复杂颗粒系统的表征，并将作出重要贡献，以更好地从根本上理解复杂颗粒系统的分散特性。