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首页> 外文期刊>Journal of nanoparticle research: An interdisciplinary forum for nanoscale science and technology >Challenges in the size analysis of a silica nanoparticle mixture as candidate certified reference material
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Challenges in the size analysis of a silica nanoparticle mixture as candidate certified reference material

机译:硅纳米粒子混合物尺寸分析作为候选认证参考材料的挑战

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摘要

A new certified reference material for quality control of nanoparticle size analysis methods has been developed and produced by the Institute for Reference Materials and Measurements of the European Commission's Joint Research Centre. The material, ERM-FD102, consists of an aqueous suspension of a mixture of silica nanoparticle populations of distinct particle size and origin. The characterisation relied on an interlaboratory comparison study in which 30 laboratories of demonstrated competence participated with a variety of techniques for particle size analysis. After scrutinising the received datasets, certified and indicative values for different method-defined equivalent diameters that are specific for dynamic light scattering (DLS), centrifugal liquid sedimentation (CLS), scanning and transmission electron microscopy (SEM and TEM), atomic force microscopy (AFM), particle tracking analysis (PTA) and asymmetrical-flow field-flow fractionation (AF4) were assigned. The value assignment was a particular challenge because metrological concepts were not always interpreted uniformly across all participating laboratories. This paper presents the main elements and results of the ERM-FD102 characterisation study and discusses in particular the key issues of measurand definition and the estimation of measurement uncertainty.
机译:新的纳米粒子尺寸分析方法的新认证参考材料已经开发并由欧盟委员会联合研究中心的参考资料和测量研究所开发和生产。该材料ERM-FD102由硅胶纳米粒子群的混合物的水性悬浮液组成,不同的粒径和起源。表征依赖于一个间接性比较研究,其中30种证明能力的实验室参与了各种用于粒度分析的技术。在仔细审查所接收的数据集,用于不同方法定义的等效直径的认证和指示值,该等效直径特定于动态光散射(DLS),离心液沉降(CLS),扫描和透射电子显微镜(SEM和TEM),原子力显微镜( AFM),分配了粒子跟踪分析(PTA)和不对称流场 - 流量分级(AF4)。价值分配是一个特殊的挑战,因为在所有参与的实验室中并不总是均匀地解释的计量概念。本文介绍了ERM-FD102表征研究的主要元素和结果,特别是测量定义的关键问题和测量不确定性的估计。

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