Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 559030
Title Uniformly 13C Labeled Lignin Internal Standards for Quantitative Pyrolysis-GC-MS Analysis of Grass and Wood
Author(s) Erven, Gijs Van; Visser, Ries De; Waard, Pieter De; Berkel, Willem J.H. Van; Kabel, Mirjam A.
Source ACS sustainable chemistry & engineering 7 (2019)24. - ISSN 2168-0485 - p. 20070 - 20076.
DOI https://doi.org/10.1021/acssuschemeng.9b05926
Department(s) Food Chemistry
IsoLife B.V.
BioNanoTechnology
VLAG
Publication type Refereed Article in a scientific journal
Publication year 2019
Keyword(s) biomass - isotope labeling - lignin content - lignin quantification - NMR spectroscopy - py-GC-MS
Abstract

With the ever-advancing lignocellulose valorization strategies, lignin analyses need to advance as well. However, lignin quantification still heavily relies on unspecific, time- and sample-consuming gravimetric, and spectrophotometric analyses. Here, we demonstrate that lignin isolates from uniformly 13C-labeled wheat straw, willow, and douglas fir serve as "ideal" internal standards for pyrolysis gas chromatography high-resolution mass spectrometry (py-GC-HR-MS) analyses of plant biomass, allowing the accurate and precise quantification and structural characterization of lignin in grasses, hardwoods, and softwoods. The 13C lignin internal standards were comprehensively structurally characterized by HSQC NMR and py-GC-HR-MS analyses, and their application for lignin quantification was validated in biomass model systems and in actual plant biomass. For all botanical origins and species, the lignin content was determined within 5% relative deviation of the Klason benchmark. These results establish the capability of the developed analytical platform to selectively quantify and structurally characterize lignin simultaneously and demonstrate a valuable addition to the lignin analysis toolbox.

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