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 1H-3C 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 HSQC0 method. © 2013 Sette et al. Licensee: Computational and Structural Biotechnology Journal. 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.
Sette, M., Lange, H., Crestini, C. (2014). Quantitative HSQC Analyses of Lignin: A Practical Comparison. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 6(7) [10.5936/csbj.201303016].
Quantitative HSQC Analyses of Lignin: A Practical Comparison
LANGE Heiko;
2014
Abstract
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 1H-3C 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 HSQC0 method. © 2013 Sette et al. Licensee: Computational and Structural Biotechnology Journal. 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.File | Dimensione | Formato | |
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Sette et al. Quantitative HSQC Analyses of Lignin_Comp. Struct. Biotechnol. J. 2013, 6, e201303016.pdf
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