Quantitative 13C-IS pyrolysis-GC-MS lignin analysis: Overcoming matrix effects in animal feed and faeces

Recently, a pyrolysis-GC-MS methodology for specific lignin quantification and structural characterisation was developed, relying on the use of uniformly 13C-labeled polymeric lignin isolate as internal standard (IS). The 13C-IS py-GC-MS method has been validated for grasses, woods, and applied in v...

Full description

Saved in:
Bibliographic Details
Published inJournal of analytical and applied pyrolysis Vol. 183; p. 106802
Main Authors Veersma, Romy J., Erven, Gijs van, Lannuzel, Corentin, Vries, Sonja de, Kabel, Mirjam A.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.10.2024
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Recently, a pyrolysis-GC-MS methodology for specific lignin quantification and structural characterisation was developed, relying on the use of uniformly 13C-labeled polymeric lignin isolate as internal standard (IS). The 13C-IS py-GC-MS method has been validated for grasses, woods, and applied in various showcases. To study the fate of lignin in animals, this method still requires careful validation in animal feeds and, especially complex faecal samples, hence the aim of this work. Hereto, faecal material was collected from pigs fed with wheat straw as lignin source and subjected to the py-GC-MS analytical platform for thorough examination of IS pyrolysis behaviour in terms of response and structural features. Next, 13C-ISpy-lignin contents and corrected Klason lignin contents were compared. Most importantly, we revealed that pyrolysis behaviour of 13C-IS lignin and 12C-sample lignin was differently affected in the faecal matrix, resulting in the ultimate underestimation of 13C-ISpy-lignin contents. In-depth examination and evaluation of matrix constituents showed that predominantly matrix ash was responsible for the effects observed. We further demonstrated that said matrix effects can be overcome by water extraction of the samples prior to analysis. Our validation and approach extend the use of the specific 13C-IS py-GC-MS methodology for accurate quantitative lignin analysis to biomass samples with complex matrices like pig faeces, and now call for application in future digestibility studies. •13C-IS py-GC-MS underestimated lignin content in pig faeces and ash-rich wheat straw.•Matrix effects were not similarly exerted on 13C-IS lignin and sample lignin.•Ash was identified as main driver of the matrix effects observed.•Matrix effects can be overcome by water extraction prior to 13C-IS py-GC-MS.
ISSN:0165-2370
DOI:10.1016/j.jaap.2024.106802