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Updated: Mar 28, 2026

Author Spotlight: Enhancing CryoEM Sample Preparation Using Graphene Monolayer on Microscopy Grids
Published on: November 10, 2023
Enhanced model for determining the number of graphene layers and their distribution from X-ray diffraction data
Beti Andonovic1, Abdulakim Ademi1, Anita Grozdanov1
1Faculty of Technology and Metallurgy, SS Cyril and Methodius University, Rugjer Boskovik 16, 1000 Skopje, Macedonia.
Abstract:
A model consisting of an equation that includes graphene thickness distribution is used to calculate theoretical 002 X-ray diffraction (XRD) peak intensities. An analysis was performed upon graphene samples produced by two different electrochemical procedures: electrolysis in aqueous electrolyte and electrolysis in molten salts, both using a nonstationary current regime. Herein, the model is enhanced by a partitioning of the corresponding 2θ interval, resulting in significantly improved accuracy of the results. The model curves obtained exhibit excellent fitting to the XRD intensities curves of the studied graphene samples. The employed equation parameters make it possible to calculate the j-layer graphene region coverage of the graphene samples, and hence the number of graphene layers. The results of the thorough analysis are in agreement with the calculated number of graphene layers from Raman spectra C-peak position values and indicate that the graphene samples studied are few-layered.
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