Literature DB >> 17524686

A new decoupling method for accurate quantification of polyethylene copolymer composition and triad sequence distribution with 13C NMR.

Zhe Zhou1, Rainer Kümmerle, Xiaohua Qiu, David Redwine, Rongjuan Cong, Angela Taha, Dan Baugh, Bill Winniford.   

Abstract

(13)C NMR is a powerful analytical tool for characterizing polyethylene copolymer composition and sequence distribution. Accurate characterization of the composition and sequence distribution is critical for researchers in industry and academia. Some common composite pulse decoupling (CPD) sequences used in polyethylene copolymer (13)C NMR can lead to artifacts such as modulations of the decoupled (13)C NMR signals (decoupling sidebands) resulting in systematic errors in quantitative analysis. A new CPD method was developed, which suppresses decoupling sidebands below the limit of detection (less than 1:40,000 compared to the intensity of the decoupled signal). This new CPD sequence consists of an improved Waltz-16 CPD, implemented as a bilevel method. Compared with other conventional CPD programs this new decoupling method produced the cleanest (13)C NMR spectra for polyethylene copolymer composition and triad sequence distribution analyses.

Entities:  

Year:  2007        PMID: 17524686     DOI: 10.1016/j.jmr.2007.05.005

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  14 in total

1.  Protein resonance assignment at MAS frequencies approaching 100 kHz: a quantitative comparison of J-coupling and dipolar-coupling-based transfer methods.

Authors:  Susanne Penzel; Albert A Smith; Vipin Agarwal; Andreas Hunkeler; Mai-Liis Org; Ago Samoson; Anja Böckmann; Matthias Ernst; Beat H Meier
Journal:  J Biomol NMR       Date:  2015-08-13       Impact factor: 2.835

2.  Heteronuclear decoupling by multiple rotating frame technique.

Authors:  Haribabu Arthanari; Gerhard Wagner; Navin Khaneja
Journal:  J Magn Reson       Date:  2010-12-06       Impact factor: 2.229

3.  Non-equilibrium hydrogen exchange for determination of H-bond strength and water accessibility in solid proteins.

Authors:  Kristof Grohe; Kumar Tekwani Movellan; Suresh Kumar Vasa; Karin Giller; Stefan Becker; Rasmus Linser
Journal:  J Biomol NMR       Date:  2017-04-09       Impact factor: 2.835

4.  Spectral editing of intra- and inter-chain methyl-methyl NOEs in protein complexes.

Authors:  Ricarda Törner; Rida Awad; Pierre Gans; Bernhard Brutscher; Jerome Boisbouvier
Journal:  J Biomol NMR       Date:  2020-01-02       Impact factor: 2.835

5.  Removal of 2H-decoupling sidebands in 13CHD2 13C-CEST profiles.

Authors:  Youlin Xia; Tairan Yuwen; Aizhuo Liu; Charalampos G Kalodimos
Journal:  J Biomol NMR       Date:  2021-03-20       Impact factor: 2.835

6.  13C NMR spectroscopy for the quantitative determination of compound ratios and polymer end groups.

Authors:  Douglas A L Otte; Dorothee E Borchmann; Chin Lin; Marcus Weck; K A Woerpel
Journal:  Org Lett       Date:  2014-03-06       Impact factor: 6.005

7.  A 13C-detected 15N double-quantum NMR experiment to probe arginine side-chain guanidinium 15Nη chemical shifts.

Authors:  Harold W Mackenzie; D Flemming Hansen
Journal:  J Biomol NMR       Date:  2017-11-10       Impact factor: 2.835

8.  Temperature-Dependent Solid-State NMR Proton Chemical-Shift Values and Hydrogen Bonding.

Authors:  Alexander A Malär; Laura A Völker; Riccardo Cadalbert; Lauriane Lecoq; Matthias Ernst; Anja Böckmann; Beat H Meier; Thomas Wiegand
Journal:  J Phys Chem B       Date:  2021-06-07       Impact factor: 2.991

9.  Probing arginine side-chains and their dynamics with carbon-detected NMR spectroscopy: application to the 42 kDa human histone deacetylase 8 at high pH.

Authors:  Nicolas D Werbeck; John Kirkpatrick; D Flemming Hansen
Journal:  Angew Chem Int Ed Engl       Date:  2013-02-10       Impact factor: 15.336

10.  Arginine Side-Chain Hydrogen Exchange: Quantifying Arginine Side-Chain Interactions in Solution.

Authors:  Harold W Mackenzie; D Flemming Hansen
Journal:  Chemphyschem       Date:  2018-09-24       Impact factor: 3.102

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