3 research outputs found
NMR Analyses and Diffusion Coefficient Determination of Minor Constituents of Olive Oil: Combined Experimental and Theoretical Studies
Combined experimental and computational studies on biologically
important minor constituents of olive oil, i.e., 1-eicosanol, squalene,
α-tocopherol, erythrodiol, stigmasterol, β-sitosterol,
campesterol, and cycloartenol, have been performed for analyzing their <sup>1</sup>H and <sup>13</sup>C NMR spectra. The correlation equations
for estimating experimental <sup>1</sup>H and <sup>13</sup>C NMR chemical
shifts from the calculated chemical shifts have been derived and tested
for the molecules in which dispersion is effective. The presently
obtained experimental NMR signals of these molecules were then assigned
on the basis of quantum chemical calculations. The discriminative
NMR signals of the minor constituents were determined and discussed. <sup>1</sup>H diffusion ordered spectroscopy (DOSY) NMR has been employed
to discriminate the minor constituents and determine their diffusion
coefficients in deuterated chloroform. We calculated some physicochemical
parameters of these molecules involving their shapes and sizes as
well as their interaction with solvent. Then, we found a regression
equation that can be used in estimating diffusion coefficients of
other compounds
Large-Scale Diffusion of Entangled Polymers along Nanochannels
Changes in large-scale polymer diffusivity
along interfaces, arising
from transient surface contacts at the nanometer scale, are not well
understood. Using proton pulsed-gradient NMR, we here study the equilibrium
micrometer-scale self-diffusion of polyÂ(butadiene) chains along ∼100
μm long, 20 and 60 nm wide channels in alumina, which is a system
without confinement-related changes in segmental relaxation time.
Unlike previous reports on nonequilibrium start-up diffusion normal
to an interface or into particulate nanocomposites, we find a reduction
of the diffusivity that appears to depend only upon the pore diameter
but not on the molecular weight in a range between 2 and 24 kg/mol.
We rationalize this by a simple volume-average model for the monomeric
friction coefficient, which suggests a 10-fold surface-enhanced friction
on the scale of a single molecular layer. Further support is provided
by applying our model to the analysis of published data on large-scale
diffusion in thin films
Surface Interactions and Confinement of Methane: A High Pressure Magic Angle Spinning NMR and Computational Chemistry Study
Characterization
and modeling of the molecular-level behavior of
simple hydrocarbon gases, such as methane, in the presence of both
nonporous and nanoporous mineral matrices allows for predictive understanding
of important processes in engineered and natural systems. In this
study, changes in local electromagnetic environments of the carbon
atoms in methane under conditions of high pressure (up to 130 bar)
and moderate temperature (up to 346 K) were observed with <sup>13</sup>C magic-angle spinning (MAS) NMR spectroscopy while the methane gas
was mixed with two model solid substrates: a fumed nonporous, 12 nm
particle size silica and a mesoporous silica with 200 nm particle
size and 4 nm average pore diameter. Examination of the interactions
between methane and the silica systems over temperatures and pressures
that include the supercritical regime was allowed by a novel high
pressure MAS sample containment system, which provided high resolution
spectra collected under in situ conditions. For pure methane, no significant
thermal effects were found for the observed <sup>13</sup>C chemical
shifts at all pressures studied here (28.2, 32.6, 56.4, 65.1, 112.7,
and 130.3 bar). However, the <sup>13</sup>C chemical shifts of resonances
arising from confined methane changed slightly with changes in temperature
in mixtures with mesoporous silica. The chemical shift values of <sup>13</sup>C nuclides in methane change measurably as a function of
pressure both in the pure state and in mixtures with both silica matrices,
with a more pronounced shift when meso-porous silica is present. Molecular-level
simulations utilizing GCMC, MD, and DFT confirm qualitatively that
the experimentally measured changes are attributed to interactions
of methane with the hydroxylated silica surfaces as well as densification
of methane within nanopores and on pore surfaces