高光谱成像作为一种简便、无损的方法用于分析沉积在多孔材料上的金纳米颗粒的尺寸

IF 2.7 4区材料科学 Q3 CHEMISTRY, PHYSICAL

Particle & Particle Systems Characterization Pub Date : 2023-09-15 DOI:10.1002/ppsc.202200204

Agnieszka Ciemięga, Katarzyna Maresz, Michał Romaszewski, Przemysław Głomb, Paulina Krupska‐Wolas, Krystian Prusik

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引用次数: 1

摘要

本文证明了利用高光谱成像(HSI)快速、无损地估计负载金纳米颗粒(AuNPs)尺寸的可行性。在不同孔隙结构的二氧化硅载体上沉积了直径在2 ~ 12 nm范围内的不同尺寸的纳米粒子。NPs的大小是根据TEM图像确定的。比较了HSI和UV-vis光谱数据，即反射率最小值和吸收最大值的位置，得到了很好的一致性。因此，高光谱相机可以成为表征沉积在多孔支架上的金纳米粒子尺寸的有效工具。

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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Hyperspectral Imaging as a Facile and Non‐Destructive Method for Size Analysis of Gold Nanoparticles Deposited on Porous Materials

Abstract Herein, the feasibility of using hyperspectral imaging (HSI) for fast and non‐destructive size estimation of supported gold nanoparticles (AuNPs) is demonstrated. NPs of different sizes in the range of 2–12 nm in diameter are deposited onto silica supports with various pore structure. The NPs sizes are determined on the basis of TEM images. Data from HSI and UV–vis spectra, i.e., the location of the reflectance minimum and absorption maximum, respectively, are compared, and good agreement is obtained. Thus, it is shown that the hyperspectral camera can be an effective tool to characterize the size of gold NPs deposited on a porous supports.

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来源期刊

Particle & Particle Systems Characterization 工程技术-材料科学：表征与测试

CiteScore

5.50

自引率

0.00%

发文量

114

审稿时长

3.0 months

期刊介绍： Particle & Particle Systems Characterization is an international, peer-reviewed, interdisciplinary journal focusing on all aspects of particle research. The journal joined the Advanced Materials family of journals in 2013. Particle has an impact factor of 4.194 (2018 Journal Impact Factor, Journal Citation Reports (Clarivate Analytics, 2019)). Topics covered include the synthesis, characterization, and application of particles in a variety of systems and devices. Particle covers nanotubes, fullerenes, micelles and alloy clusters, organic and inorganic materials, polymers, quantum dots, 2D materials, proteins, and other molecular biological systems. Particle Systems include those in biomedicine, catalysis, energy-storage materials, environmental science, micro/nano-electromechanical systems, micro/nano-fluidics, molecular electronics, photonics, sensing, and others. Characterization methods include microscopy, spectroscopy, electrochemical, diffraction, magnetic, and scattering techniques.