Mode-selective Raman imaging of metal-organic frameworks reveals surface heterogeneities of single HKUST-1 crystals
Matheus Esteves Ferreira, Mariana Del Grande, Felipe Lopes Oliveira,, Rodrigo Neumann Barros Ferreira, Ademir Ferreira da Silva, Pamela Costa, Carvalho, Geisa Lima, Ado Jorio, Mathias Steiner

TL;DR
This study uses Raman micro-spectroscopy to map and analyze surface heterogeneities in single HKUST-1 MOF crystals, revealing spatial spectral variations and defect-related features with statistical and multivariate analysis.
Contribution
It introduces mode-selective Raman imaging of single MOF crystals, revealing surface heterogeneities and defect features, validated by DFT simulations and supported by multivariate analysis.
Findings
Identified a new vibrational feature in HKUST-1
Mapped spectral heterogeneity across single crystals
Quantified intra- and inter-crystal variability
Abstract
Metal organic frameworks (MOFs) are nanoporous materials with high surface-to-volume ratio that have potential applications as gas sorbents. Sample quality is, however, often compromised and it is unclear how defects and surface contaminants affect the spectral properties of single MOF crystals. Raman micro-spectroscopy is a powerful tool for characterizing MOFs, yet spatial spectral heterogeneity distributions of single MOF crystals have not been reported so far. In this work, we use Raman micro-spectroscopy to characterize spatially isolated, single crystals of the MOF species HKUST-1. In a first step, we validate HKUST-1's Raman spectrum based on DFT simulations and we identify a previously unreported vibrational feature. In a second step, we acquire diffraction-limited, mode-selective Raman images of a single HKUST-1 crystals that reveal how the spectral variations are distributed…
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Taxonomy
TopicsMetal-Organic Frameworks: Synthesis and Applications · Advanced Nanomaterials in Catalysis · Machine Learning in Materials Science
