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Quantitative HSQC Analyses of Lignin: A Practical Comparison

Lignin is the second-most abundant polymer after cellulose within the biomass of our planet. Structurally, it displays random oligomeric units without fixed repetition schemes beyond the stage of dimers. Quantitative (1)H-(13)C HSQC measurements have recently greatly facilitated lignin analyses. In...

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Detalles Bibliográficos
Autores principales: Sette, Marco, Lange, Heiko, Crestini, Claudia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology (RNCSB) Organization 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3962123/
https://www.ncbi.nlm.nih.gov/pubmed/24688724
http://dx.doi.org/10.5936/csbj.201303016
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author Sette, Marco
Lange, Heiko
Crestini, Claudia
author_facet Sette, Marco
Lange, Heiko
Crestini, Claudia
author_sort Sette, Marco
collection PubMed
description Lignin is the second-most abundant polymer after cellulose within the biomass of our planet. Structurally, it displays random oligomeric units without fixed repetition schemes beyond the stage of dimers. Quantitative (1)H-(13)C HSQC measurements have recently greatly facilitated lignin analyses. In some cases, however, long acquisition times needed for obtaining quantitative HSQCs are not compatible with the chemical integrity of (a potentially functionalised) lignin sample. We thus compared different methods that were developed for more time-efficient quantitative HSQC measurements with respect to their usefulness in lignin analyses: reliable and reproducible results were obtained using both the QQ-HSQC and the HSQC(0) method.
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spelling pubmed-39621232014-03-31 Quantitative HSQC Analyses of Lignin: A Practical Comparison Sette, Marco Lange, Heiko Crestini, Claudia Comput Struct Biotechnol J Research Article Lignin is the second-most abundant polymer after cellulose within the biomass of our planet. Structurally, it displays random oligomeric units without fixed repetition schemes beyond the stage of dimers. Quantitative (1)H-(13)C HSQC measurements have recently greatly facilitated lignin analyses. In some cases, however, long acquisition times needed for obtaining quantitative HSQCs are not compatible with the chemical integrity of (a potentially functionalised) lignin sample. We thus compared different methods that were developed for more time-efficient quantitative HSQC measurements with respect to their usefulness in lignin analyses: reliable and reproducible results were obtained using both the QQ-HSQC and the HSQC(0) method. Research Network of Computational and Structural Biotechnology (RNCSB) Organization 2013-11-10 /pmc/articles/PMC3962123/ /pubmed/24688724 http://dx.doi.org/10.5936/csbj.201303016 Text en © Sette et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly cited.
spellingShingle Research Article
Sette, Marco
Lange, Heiko
Crestini, Claudia
Quantitative HSQC Analyses of Lignin: A Practical Comparison
title Quantitative HSQC Analyses of Lignin: A Practical Comparison
title_full Quantitative HSQC Analyses of Lignin: A Practical Comparison
title_fullStr Quantitative HSQC Analyses of Lignin: A Practical Comparison
title_full_unstemmed Quantitative HSQC Analyses of Lignin: A Practical Comparison
title_short Quantitative HSQC Analyses of Lignin: A Practical Comparison
title_sort quantitative hsqc analyses of lignin: a practical comparison
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3962123/
https://www.ncbi.nlm.nih.gov/pubmed/24688724
http://dx.doi.org/10.5936/csbj.201303016
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