Literature DB >> 26404771

Basic principles of static proton low-resolution spin diffusion NMR in nanophase-separated materials with mobility contrast.

Kerstin Schäler1, Matthias Roos1, Peter Micke1, Yury Golitsyn1, Anne Seidlitz1, Thomas Thurn-Albrecht1, Horst Schneider1, Günter Hempel1, Kay Saalwächter2.   

Abstract

We review basic principles of low-resolution proton NMR spin diffusion experiments, relying on mobility differences in nm-sized phases of inhomogeneous organic materials such as block-co- or semicrystalline polymers. They are of use for estimates of domain sizes and insights into nanometric dynamic inhomogeneities. Experimental procedures and limitations of mobility-based signal decomposition/filtering prior to spin diffusion are addressed on the example of as yet unpublished data on semicrystalline poly(ϵ-caprolactone), PCL. Specifically, we discuss technical aspects of the quantitative, dead-time free detection of rigid-domain signals by aid of the magic-sandwich echo (MSE), and magic-and-polarization-echo (MAPE) and double-quantum (DQ) magnetization filters to select rigid and mobile components, respectively. Such filters are of general use in reliable fitting approaches for phase composition determinations. Spin diffusion studies at low field using benchtop instruments are challenged by rather short (1)H T1 relaxation times, which calls for simulation-based analyses. Applying these, in combination with domain sizes as determined by small-angle X-ray scattering, we have determined spin diffusion coefficients D for PCL (0.34, 0.19 and 0.032nm(2)/ms for crystalline, interphase and amorphous parts, respectively). We further address thermal-history effects related to secondary crystallization. Finally, the state of knowledge concerning the connection between D values determined locally at the atomic level, using (13)C detection and CP- or REDOR-based "(1)H hole burning" procedures, and those obtained by calibration experiments, is summarized. Specifically, the non-trivial dependence of D on the magic-angle spinning (MAS) frequency, with a minimum under static and a local maximum under moderate-MAS conditions, is highlighted.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Block copolymers; Low-field NMR; Nanophase separation; Poly(ϵ-caprolactone); Polymer crystallization; Polymer dynamics; Semicrystalline polymers

Year:  2015        PMID: 26404771     DOI: 10.1016/j.ssnmr.2015.09.001

Source DB:  PubMed          Journal:  Solid State Nucl Magn Reson        ISSN: 0926-2040            Impact factor:   2.293


  6 in total

1.  Materials informatics approach using domain modelling for exploring structure-property relationships of polymers.

Authors:  Koki Hara; Shunji Yamada; Atsushi Kurotani; Eisuke Chikayama; Jun Kikuchi
Journal:  Sci Rep       Date:  2022-06-22       Impact factor: 4.996

2.  On the role of experimental imperfections in constructing (1)H spin diffusion NMR plots for domain size measurements.

Authors:  Ryan C Nieuwendaal
Journal:  Solid State Nucl Magn Reson       Date:  2016-03-24       Impact factor: 2.293

3.  Signal Deconvolution and Generative Topographic Mapping Regression for Solid-State NMR of Multi-Component Materials.

Authors:  Shunji Yamada; Eisuke Chikayama; Jun Kikuchi
Journal:  Int J Mol Sci       Date:  2021-01-22       Impact factor: 5.923

Review 4.  The exposome paradigm to predict environmental health in terms of systemic homeostasis and resource balance based on NMR data science.

Authors:  Jun Kikuchi; Shunji Yamada
Journal:  RSC Adv       Date:  2021-09-13       Impact factor: 4.036

5.  Design, Synthesis and Characterization of Vitrimers with Low Topology Freezing Transition Temperature.

Authors:  Baiju P Krishnan; Kay Saalwaechter; Vico K B Adjedje; Wolfgang H Binder
Journal:  Polymers (Basel)       Date:  2022-06-16       Impact factor: 4.967

6.  Non-Conventional Time Domain (TD)-NMR Approaches for Food Quality: Case of Gelatin-Based Candies as a Model Food.

Authors:  Sirvan Sultan Uguz; Baris Ozel; Leonid Grunin; Emin Burcin Ozvural; Mecit H Oztop
Journal:  Molecules       Date:  2022-10-10       Impact factor: 4.927

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.