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Molecular Dynamics and Surface Interactions of Nickelocene Adsorbed on Silica: A Paramagnetic Solid-State NMR Study.

Jordon W BenzieGabrielle E Harmon-WelchJohn C HoeflerVladimir I BakhmutovJanet Blümel
Published in: Langmuir : the ACS journal of surfaces and colloids (2022)
When grinding nickelocene with silica in the absence of a solvent at room temperature, it adsorbs on the surface within the pores. This has also been demonstrated visually by adsorbing green nickelocene in the pores of a large colorless silica gel specimen. While this dry adsorption and translational mobility of nickelocene within the pores is proven visually, the site-to-site mobility of the nickelocene molecules and their orientation toward the surface are not yet understood. In this contribution, mesoporous silica is used as the support material for a systematic solid-state NMR study of these issues. Paramagnetic 1 H VT solid-state NMR and T 1 relaxation times have been powerful tools for studying the dynamics of nickelocene on the silica surface. Herewith, the mobility of the surface-adsorbed nickelocene molecules in the pores could be quantified on the molecular scale. According to the obtained data, the nickelocene molecules move like a liquid on the surface. Isotropically moving molecules exchange places rapidly with surface-attached molecular states of nickelocene in a sample with submonolayer surface coverage. This finding is corroborated by a macroscopic visualization experiment. The states of the surface-attached horizontally oriented nickelocene molecules that are prevalent at temperatures below 200 K have been quantified. The temperature dependencies of the rate k in coordinates of ln( k ) versus 1/ T and ln( k / T ) versus 1/ T form ideal straight lines that allow the determination of the kinetic parameters E act = 5.5 kcal/mol, A = 1.1 × 10 10 , Δ H ‡ = 5.0 kcal/mol, and Δ S ‡ = -15 eu. Investigating a sample with equal amounts of nickelocene and ferrocene in a submonolayer amount of 80% overall surface coverage shows that the different metallocenes mix on the molecular level on the silica surface.
Keyphrases
  • solid state
  • molecular dynamics
  • high resolution
  • healthcare
  • machine learning
  • mass spectrometry
  • single molecule
  • deep learning
  • electronic health record
  • big data