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Quantification of Lignin and Its Structural Features in Plant Biomass Using 13C Lignin as Internal Standard for Pyrolysis-GC-SIM-MS.
van Erven, Gijs; de Visser, Ries; Merkx, Donny W H; Strolenberg, Willem; de Gijsel, Peter; Gruppen, Harry; Kabel, Mirjam A.
Afiliación
  • van Erven G; Wageningen University & Research, Laboratory of Food Chemistry , Bornse Weilanden 9, 6708 WG, Wageningen, The Netherlands.
  • de Visser R; IsoLife bv , Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands.
  • Merkx DWH; Wageningen University & Research, Laboratory of Food Chemistry , Bornse Weilanden 9, 6708 WG, Wageningen, The Netherlands.
  • Strolenberg W; Unilever R&D Vlaardingen , Olivier van Noortlaan 120, 3133 AT, Vlaardingen, The Netherlands.
  • de Gijsel P; Wageningen University & Research, Laboratory of Food Chemistry , Bornse Weilanden 9, 6708 WG, Wageningen, The Netherlands.
  • Gruppen H; Wageningen University & Research, Laboratory of Food Chemistry , Bornse Weilanden 9, 6708 WG, Wageningen, The Netherlands.
  • Kabel MA; Wageningen University & Research, Laboratory of Food Chemistry , Bornse Weilanden 9, 6708 WG, Wageningen, The Netherlands.
Anal Chem ; 89(20): 10907-10916, 2017 10 17.
Article en En | MEDLINE | ID: mdl-28926698
ABSTRACT
Understanding the mechanisms underlying plant biomass recalcitrance at the molecular level can only be achieved by accurate analyses of both the content and structural features of the molecules involved. Current quantification of lignin is, however, majorly based on unspecific gravimetric analysis after sulfuric acid hydrolysis. Hence, our research aimed at specific lignin quantification with concurrent characterization of its structural features. Hereto, for the first time, a polymeric 13C lignin was used as internal standard (IS) for lignin quantification via analytical pyrolysis coupled to gas chromatography with mass-spectrometric detection in selected ion monitoring mode (py-GC-SIM-MS). In addition, relative response factors (RRFs) for the various pyrolysis products obtained were determined and applied. First, 12C and 13C lignin were isolated from nonlabeled and uniformly 13C labeled wheat straw, respectively, and characterized by heteronuclear single quantum coherence (HSQC), nuclear magnetic resonance (NMR), and py-GC/MS. The two lignin isolates were found to have identical structures. Second, 13C-IS based lignin quantification by py-GC-SIM-MS was validated in reconstituted biomass model systems with known contents of the 12C lignin analogue and was shown to be extremely accurate (>99.9%, R2 > 0.999) and precise (RSD < 1.5%). Third, 13C-IS based lignin quantification was applied to four common poaceous biomass sources (wheat straw, barley straw, corn stover, and sugar cane bagasse), and lignin contents were in good agreement with the total gravimetrically determined lignin contents. Our robust method proves to be a promising alternative for the high-throughput quantification of lignin in milled biomass samples directly and simultaneously provides a direct insight into the structural features of lignin.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Triticum / Lignina / Cromatografía de Gases y Espectrometría de Masas Tipo de estudio: Prognostic_studies Idioma: En Revista: Anal Chem Año: 2017 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Triticum / Lignina / Cromatografía de Gases y Espectrometría de Masas Tipo de estudio: Prognostic_studies Idioma: En Revista: Anal Chem Año: 2017 Tipo del documento: Article País de afiliación: Países Bajos