Issue 31, 2020

Probing composition distributions in nanoalloy catalysts with correlative electron microscopy

Abstract

Alloyed nanoparticles are important functional materials and have wide applications especially in heterogeneous catalysis and electrocatalysis. Controlled synthesis of nanoalloys is desirable in order to understand their structure–property relationships and further optimize their performance. While many synthesis methods have been developed, information on the resultant composition distributions among particles is often not available, and uniformity of composition from particle-to-particle is often incorrectly assumed. Such an analysis would require extensive work on a high-resolution analytical electron microscope, which has some drawbacks and the high-resolution equipment is not always readily accessible. We hereby introduce an alternative way for composition analysis of nanoalloys via a correlative electron microscopy approach, separating the size measurement (imaging) and composition analysis between TEM and SEM instruments. Using a case study of two AuPd nanoalloys which have very similar size distributions but significantly different composition distributions and catalytic activities, we demonstrate both the necessity of performing composition distribution analysis on ultrasmall nanoalloys and the feasibility of this method. We show that a more efficient X-ray analysis on nanoalloys can be done in an SEM due to intrinsically higher ionization cross-sections from the relatively lower energy (e.g. 20 keV) electron beam and the possibility of using large probe currents and X-ray detectors with large collection angles.

Graphical abstract: Probing composition distributions in nanoalloy catalysts with correlative electron microscopy

Supplementary files

Article information

Article type
Paper
Submitted
09 Jan 2020
Accepted
03 Mar 2020
First published
04 Mar 2020

J. Mater. Chem. A, 2020,8, 15725-15733

Probing composition distributions in nanoalloy catalysts with correlative electron microscopy

S. Liu, I. Gow, T. Davies, A. Barnes, M. Sankar, X. Gong, A. G. R. Howe, M. Dixon, G. J. Hutchings, C. J. Kiely and Q. He, J. Mater. Chem. A, 2020, 8, 15725 DOI: 10.1039/D0TA00334D

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