The use of PGSE NMR and DECRA for determining polymer composition

被引：35

作者：

Antalek, B ^{[1
]}

Hewitt, JM ^{[1
]}

Windig, W ^{[1
]}

Yacobucci, PD ^{[1
]}

Mourey, T ^{[1
]}

Le, K ^{[1
]}

机构：

[1] Eastman Kodak Co, Imaging Mat & Media Res & Dev, Rochester, NY 14650 USA

来源：

MAGNETIC RESONANCE IN CHEMISTRY | 2002年 / 40卷 / SPEC. ISS.期

关键词：

pulsed gradient spin-echo; NMR; DECRA; size-exclusion chromatography; diffusion; polymer composition; mixture analysis;

D O I：

10.1002/mrc.1116

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

Pulsed gradient spin-echo (PGSE) NMR, when coupled with the appropriate data processing algorithm, is a useful method for mixture analysis. Direct exponential curve resolution algorithm (DECRA) is demonstrated as a method that may be used to obtain polymer composition information as a function of molecular weight for a poly(urea-urethane). DECRA resolves both self-diffusion coefficients and corresponding spectral components from a single experiment without the need for physical separation. Molecular weight estimates from the NMR data are compared with that determined by size-exclusion chromatography (SEC). DECRA-resolved spectral components are directly compared with NMR spectra of SEC fractions. Subtle compositional changes among three different polymer solutions are clearly detected by the NMR analysis. Copyright (C) 2002 John Wiley Sons, Ltd.

引用

页码：S60 / S71

页数：12

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