Detailed structural elucidation of different lignocellulosic biomass types using optimized temperature and time profiles in fractionated Py-GC/MS

Detailed structural elucidation of different lignocellulosic biomass types using optimized temperature and time profiles in fractionated Py-GC/MS

Year of publication

2019

Authors

González Martínez, M.; Ohra-aho, Taina; Tamminen, Tarja; da Silva Perez, D.; Campargue, M.; Dupont, C.

Organizations and authors

VTT Technical Research Centre of Finland Ltd

Ohra-aho Taina

Tamminen Tarja

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Volume

140

Pages

112-124

​Publication forum

59540

​Publication forum level

1

Open access

Open access in the publisher’s service

No

Self-archived

No

Other information

Fields of science

Chemical engineering; Materials engineering

Language

English

International co-publication

Yes

Co-publication with a company

Yes

DOI

10.1016/j.jaap.2019.02.011

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes

Detailed structural elucidation of different lignocellulosic biomass types using optimized temperature and time profiles in fractionated Py-GC/MS - Research.fi