Correlation of magnetic resonance (EPR, ssNMR) parameters and crystal-microstrain in marbles as a tool to probe their provenance.
Loukas BellesChristos DimitriouConstantinos MoularasMaria SolakidouMarinos TheorodakopoulosMaria LouloudiYiannis DeligiannakisPublished in: Physical chemistry chemical physics : PCCP (2023)
Marbles constitute a significant family of materials, for antiquities, as well as modern constructions. Herein, we have studied Greek marbles, using electron paramagnetic resonance (EPR) and solid-state nuclear magnetic resonance (ssNMR) spectroscopies, focusing on their structural microenvironment. Spin-Hamiltonian parameters derived from EPR spectra of naturally occurring 55 Mn 2+ ( S = 5/2, I = 5/2) atoms in marbles, were studied as structural-probes. EPR data at 300 K provide a library of 55 Mn 2+ zero-field-splitting parameters ( E , D ). The effect of temperature (300 up to 700 K) on 55 Mn 2+ -ZFS ( E , D ) and the strain of the D -tensor ( D strain ) was studied by high-temperature EPR spectroscopy. The EPR data, combined with 13 C-ssNMR, provide detailed physicochemical information of the calcite and dolomite crystal phases in the marbles. In parallel, we have analyzed the lattice-microstrain ( ε 0 ) of the marbles' crystallites using high-resolution XRD data. Analysis of the correlation between the D -values of Mn 2+ centers and ( ε 0 )-XRD, reveals trends that reflect the provenance of the marbles. In this context, we discuss the correlation between the D -values of Mn 2+ centers and ( ε 0 )-microstrain as a novel tool to elucidate the provenance of marbles.
Keyphrases
- solid state
- magnetic resonance
- room temperature
- high resolution
- transition metal
- electronic health record
- metal organic framework
- single molecule
- big data
- high temperature
- density functional theory
- living cells
- mass spectrometry
- magnetic resonance imaging
- small molecule
- machine learning
- quantum dots
- healthcare
- artificial intelligence
- fluorescence imaging
- energy transfer
- liquid chromatography
- solar cells