Nanoparticle characterisation via 2D classification using single particle averaging†

IF 6.6 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Iain Harley, Anke Kaltbeitzel, Francesca Mazzotta, Kaloian Koynov, Sarah S. Lembke, Thao P. Doan-Nguyen, Katharina Landfester and Ingo Lieberwirth
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Abstract

Characterising the size and morphology of nanoparticles (NPs), especially in complex systems like core–shell particles and nanocapsules, remains a significant challenge due to limitations in resolution and applicability of traditional methods. Here, we explore a novel approach to image-based NP characterisation using 2D class averaging (2D-CA) techniques used in single particle analysis. By leveraging well-established software originally developed in structural biology, our method provides detailed size distribution analysis for diverse NP systems, including bimodal particle size distributions, nanocapsules and nanorods. To validate the efficacy and accuracy of this technique, we conduct a comparative study against established characterisation methods, highlighting the potential of 2D-CA to enhance the analysis of challenging NP systems that are otherwise inaccessible using conventional methods, such as highly agglomerated NPs. Our results indicate that single particle averaging techniques offer a sound statistical basis for NP size distribution determination, coupled with a streamlined workflow that utilises established software. This method facilitates the processing of large numbers of micrographs, yielding statistically robust results with minimal human bias through automated particle identification.

Abstract Image

纳米粒子表征通过二维分类使用单粒子平均。
由于传统方法的分辨率和适用性的限制,表征纳米颗粒(NPs)的大小和形态仍然是一个重大挑战,特别是在核-壳颗粒和纳米胶囊等复杂系统中。在这里,我们探索了一种基于图像的NP表征的新方法,该方法使用用于单粒子分析的2D类平均(2D- ca)技术。通过利用最初在结构生物学中开发的成熟软件,我们的方法为不同的NP系统提供了详细的尺寸分布分析,包括双峰粒径分布、纳米胶囊和纳米棒。为了验证该技术的有效性和准确性,我们对已建立的表征方法进行了比较研究,强调了2D-CA的潜力,以增强对具有挑战性的NP系统的分析,否则使用传统方法无法访问这些系统,例如高度聚集的NP。我们的研究结果表明,单粒子平均技术为NP大小分布的确定提供了良好的统计基础,再加上利用已建立的软件的简化工作流程。这种方法有利于处理大量的显微照片,产生统计稳健的结果与最小的人为偏差通过自动粒子识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nanoscale Horizons
Nanoscale Horizons Materials Science-General Materials Science
CiteScore
16.30
自引率
1.00%
发文量
141
期刊介绍: Nanoscale Horizons stands out as a premier journal for publishing exceptionally high-quality and innovative nanoscience and nanotechnology. The emphasis lies on original research that introduces a new concept or a novel perspective (a conceptual advance), prioritizing this over reporting technological improvements. Nevertheless, outstanding articles showcasing truly groundbreaking developments, including record-breaking performance, may also find a place in the journal. Published work must be of substantial general interest to our broad and diverse readership across the nanoscience and nanotechnology community.
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