Fast pyrolysis of hot-water-extracted and delignified silver birch (Betula pendula) sawdust by Py-GC/MS
Abstract
The thermochemical behavior of birch (Betula pendula) sawdust both untreated and after various chemical treatments (hot-water extraction, delignification, and hot-water extraction followed by delignification) was investigated by pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS). In each case, major GC-amenable condensable products were classified into several compound groups, and the formation of these monomer-related fragments from feedstock samples with varying mass portions of the structural constituents (cellulose, hemicelluloses, and lignin) were determined at 500 °C and 700 °C at hold times of 5 s and 20 s. The formation of pyrolysis products was shown to be characteristically dependent on feedstock composition as well as on pyrolysis conditions. This kind of approach was of practical importance with respect to efforts not only to develop rapid characterization tools for lignocellulosics, but also to new biorefinery possibilities to produce bio-oils, for example, enriched either with aliphatic or aromatic constituents.
Main Authors
Format
Articles
Research article
Published
2017
Series
Subjects
Publication in research information system
Publisher
Elsevier BV
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201709253809Use this for linking
Review status
Peer reviewed
ISSN
0165-2370
DOI
https://doi.org/10.1016/j.jaap.2017.09.008
Language
English
Published in
Journal of Analytical and Applied Pyrolysis
Citation
- Ghalibaf, M., Lehto, J., & Alén, R. (2017). Fast pyrolysis of hot-water-extracted and delignified silver birch (Betula pendula) sawdust by Py-GC/MS. Journal of Analytical and Applied Pyrolysis, 127, 17-22. https://doi.org/10.1016/j.jaap.2017.09.008
Funder(s)
Maj ja Tor Nessling Foundation
Additional information about funding
Financial support from the Academy of Finland, within the framework of the project IMUSTBC (Maryam Ghalibaf) and from the Maj and Tor Nessling Foundation, Finland (Joni Lehto) is gratefully acknowledged.
Copyright© 2017 Elsevier Ltd. This is a final draft version of an article whose final and definitive form has been published by Elsevier. Published in this repository with the kind permission of the publisher.