1991
DOI: 10.1627/jpi1958.34.53
|View full text |Cite
|
Sign up to set email alerts
|

Chemical characterization of coal tar and coal derived liquid based on their separation by high performance liquid chromatography analyzed by FI-MS measurements.

Abstract: For the purpose of obtaining information on chemical components of coal tar, a method combining the use of HPLC and field ionization-MS (FI-MS), together with the computer, was developed to conveniently characterize coal derived liquids. Separation by HPLC is carried out by connecting to the cyano column, a pack with sample-deposited teflon powder. By supplying the various carriers having gradually increased polarity, 4 fractions were obtained with single stage chromatography. Assuming the and aromatic rings a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2003
2003
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 0 publications
0
0
0
Order By: Relevance
“…Coal contains small molecules with Mw of 200-500; 14) some of these molecules have a naphthalene structure (two aromatic rings), 15,16) which can enhance the softening and melting properties of coal. 17) Considering the purpose of this study, the model compound was required to be solid at room temperature and liquid during heating; it was also required to have a boiling point of approximately 500°C.…”
Section: Requirements and Synthesis Scheme For Model Compoundmentioning
confidence: 99%
“…Coal contains small molecules with Mw of 200-500; 14) some of these molecules have a naphthalene structure (two aromatic rings), 15,16) which can enhance the softening and melting properties of coal. 17) Considering the purpose of this study, the model compound was required to be solid at room temperature and liquid during heating; it was also required to have a boiling point of approximately 500°C.…”
Section: Requirements and Synthesis Scheme For Model Compoundmentioning
confidence: 99%