A thorough theoretical description of the recently suggested method [A. Lozovoi et al. J. Chem. Phys. 144, 241101 (2016)] based on the proton NMR dipolar-correlation effect allowing for the investigation of segmental diffusion in polymer melts is presented. It is shown that the initial rise of the proton dipolar-correlation build-up function, constructed from Hahn Echo signals measured at times t and t/2, contains additive contributions from both inter- and intramolecular magnetic dipole-dipole interactions. The intermolecular contribution depends on the relative mean-squared displacement of polymer segments from different macromolecules, which provides an opportunity for an experimental study of segmental translational motions at the millisecond range that falls outside the typical range accessible by other methods, i.e., neutron scattering or NMR spin echo with the magnetic field gradients. A comparison with the other two proton NMR methods based on transverse spin relaxation phenomena, i.e., solid echo and double quantum resonance, shows that the initial rise of the build-up functions in all the discussed methods is essentially identical and differs only in numerical coefficients. In addition, it is argued that correlation functions constructed in the same manner as the dipolar-correlation build-up function can be applied for an experimental determination of a mean relaxation rate in the case of systems possessing multi-exponential magnetization decay.

Download full-text PDF

Source
http://dx.doi.org/10.1063/1.4998184DOI Listing

Publication Analysis

Top Keywords

proton dipolar-correlation
8
investigation segmental
8
displacement polymer
8
polymer melts
8
proton nmr
8
initial rise
8
dipolar-correlation build-up
8
build-up function
8
theory proton
4
dipolar-correlation
4

Similar Publications

Two-dimensional Pure Isotropic Proton Solid State NMR.

Angew Chem Int Ed Engl

May 2023

Institut des Sciences et Ingénierie Chimiques, and NCCR MARVEL, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland.

Article Synopsis
  • Solid-state NMR spectroscopy struggles with broad H NMR spectra due to strong dipolar couplings in organic solids, which complicates data interpretation.
  • The authors proposed a method to eliminate errors that cause residual dipolar broadening by mapping them into a second dimension, resulting in pure isotropic proton spectra with enhanced resolution.
  • Utilizing deep learning, they applied this PIP approach to samples like L-tyrosine hydrochloride and ampicillin, achieving high-resolution dipolar correlation and spin-diffusion spectra that revealed previously hidden isotropic correlation peaks.
View Article and Find Full Text PDF

Segmental dynamics of a highly entangled melt of linear polyethylene-alt-propylene with a molecular weight of 200 kDa was studied with a novel proton nuclear magnetic resonance (NMR) approach based upon H → H isotope dilution as applied to a solid-echo build-up function I(t), which is constructed from the NMR spin echo signals arising from the Hahn echo (HE) and two variations of the solid-echo pulse sequence. The isotope dilution enables the separation of inter- and intramolecular contributions to this function and allows one to extract the segmental mean-squared displacements in the millisecond time range, which is hardly accessible by other experimental methods. The proposed technique in combination with time-temperature superposition yields information about segmental translation in polyethylene-alt-propylene over 6 decades in time from 10 s up to 1 s.

View Article and Find Full Text PDF

A thorough theoretical description of the recently suggested method [A. Lozovoi et al. J.

View Article and Find Full Text PDF

Nuclear-magnetic-resonance (NMR) relaxation experimentation is an effective technique for nondestructively probing the dynamics of proton-bearing fluids in porous media. The frequency-dependent relaxation rate T_{1}^{-1} can yield a wealth of information on the fluid dynamics within the pore provided data can be fit to a suitable spin diffusion model. A spin diffusion model yields the dipolar correlation function G(t) describing the relative translational motion of pairs of ^{1}H spins which then can be Fourier transformed to yield T_{1}^{-1}.

View Article and Find Full Text PDF

A simple and fast method for the investigation of segmental diffusion in high molar mass polymer melts is presented. The method is based on a special function, called proton dipolar-correlation build-up function, which is constructed from Hahn Echo signals measured at times t and t/2. The initial rise of this function contains additive contributions from both inter- and intramolecular magnetic dipole-dipole interactions.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!