Dataset Information

Quantification of Lignin and Its Structural Features in Plant Biomass Using ¹³C Lignin as Internal Standard for Pyrolysis-GC-SIM-MS.

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.

SUBMITTER: van Erven G

PROVIDER: S-EPMC5647568 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Quantification of Lignin and Its Structural Features in Plant Biomass Using <sup>13</sup>C Lignin as Internal Standard for Pyrolysis-GC-SIM-MS.

van Erven Gijs G de Visser Ries R Merkx Donny W H DWH Strolenberg Willem W de Gijsel Peter P Gruppen Harry H Kabel Mirjam A MA Kabel Mirjam A MA

Analytical chemistry 20171004 20

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 <sup>13< ...[more]

PMID: 28926698

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Project description:In the times of Covid-19, face masks are considered to be the main source of protection against the virus that reduces its spread. These masks are classified as single-use medical products with a very short service life, estimated at few days, hence millions of contaminated masks are generated daily in the form of hazardous materials, what requires to develop a safe method to dispose of them, especially since some of them are loaded with viruses. 3-ply face masks (3PFM) represent the major fraction of this waste and are composed mainly from polypropylene and melt blown filter with high content of volatile substances (96.6 wt.%), what makes pyrolysis treatment an emerging technology that could be used to dispose of face masks and convert them into energy products. In this context, this work aims to study pyrolysis kinetic behaviour and TG-FTIR-GC-MS analysis of 3PFM. The research started with analysis of 3PFM using elemental analysis, proximate analysis, and compositional analyses. Afterwards, TG-FTIR system was used to study the thermal and chemical decomposition of 3PFM analyzed at different heating rates: 5, 10, 15, 20, 25, and 30 °C/min. The GC/MS system was used to observe the synthesized volatile products at the maximum decomposition temperatures. After that, isoconversional methods, the advanced nonlinear integral isoconversional method, and the iterative linear integral isoconversional method were used to determine the activation energies of mask pyrolysis, while the distributed activation energy model and the independent parallel reactions kinetic model were used to fit TGA and DTG curves with deviations below <1. The TGA-DTG results showed that 3PFM can decompose in three different periods with a total weight loss of 95 % and maximum decomposition in the range 405-510 °C, while the FTIR spectra and GC-MS analysis exhibited that - C-H (aromatic and aliphatic) and 2,4-Dimethyl-1-heptene (28-43 % based on heating rate) represented the major compounds in the released volatile components. Finally, Vyazovkin and the iterative linear integral isoconversional methods gave activation energies almost similar to that obtained by the KAS isoconversional method.

Dataset Information

Quantification of Lignin and Its Structural Features in Plant Biomass Using ¹³C Lignin as Internal Standard for Pyrolysis-GC-SIM-MS.

Publications

Quantification of Lignin and Its Structural Features in Plant Biomass Using <sup>13</sup>C Lignin as Internal Standard for Pyrolysis-GC-SIM-MS.

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Dataset Information

Quantification of Lignin and Its Structural Features in Plant Biomass Using 13C Lignin as Internal Standard for Pyrolysis-GC-SIM-MS.

Publications

Quantification of Lignin and Its Structural Features in Plant Biomass Using <sup>13</sup>C Lignin as Internal Standard for Pyrolysis-GC-SIM-MS.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Quantification of Lignin and Its Structural Features in Plant Biomass Using ¹³C Lignin as Internal Standard for Pyrolysis-GC-SIM-MS.