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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Research Network of Computational and Structural Biotechnology (RNCSB) Organization
2013
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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. |
format | Online Article Text |
id | pubmed-3962123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Research Network of Computational and Structural Biotechnology (RNCSB) Organization |
record_format | MEDLINE/PubMed |
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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