Proceedings of the 2019 2nd International Conference on Sustainable Energy, Environment and Information Engineering (SEEIE 2019)

Identification of Diesel Residues by GC-MS in Fire

Authors
Borui Ji, Shujun Liu, Ying Wang
Corresponding Author
Shujun Liu
Available Online May 2019.
DOI
10.2991/seeie-19.2019.9How to use a DOI?
Keywords
diesel; GC-MS; compositions distribution; polyurethane wood
Abstract

In this paper, the application of Gas Chromatography-Mass Spectrometry (GC-MS) in diesel composition and its interference analysis was studied. The results show that the fresh diesel fuel sample mainly contains 13 kinds of aromatic compounds, and the characteristic compound group and component distribution can be clearly observed in diesel. The ion chromatography of polyurethane wood and diesel are basically the same, polyurethane wood has a great interference with diesel in fire identification. Therefore, it is feasible to analysis the distribution of diesel components using GC-MS technology.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 2nd International Conference on Sustainable Energy, Environment and Information Engineering (SEEIE 2019)
Series
Advances in Engineering Research
Publication Date
May 2019
ISBN
10.2991/seeie-19.2019.9
ISSN
2352-5401
DOI
10.2991/seeie-19.2019.9How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Borui Ji
AU  - Shujun Liu
AU  - Ying Wang
PY  - 2019/05
DA  - 2019/05
TI  - Identification of Diesel Residues by GC-MS in Fire
BT  - Proceedings of the 2019 2nd International Conference on Sustainable Energy, Environment and Information Engineering (SEEIE 2019)
PB  - Atlantis Press
SP  - 39
EP  - 41
SN  - 2352-5401
UR  - https://doi.org/10.2991/seeie-19.2019.9
DO  - 10.2991/seeie-19.2019.9
ID  - Ji2019/05
ER  -