2021
DOI: 10.1021/acsomega.1c00691
|View full text |Cite
|
Sign up to set email alerts
|

Use of Partition Coefficients in a Hexane–Acetonitrile System in the GC–MS Analysis of Polyaromatic Hydrocarbons in the Example of Delayed Coking Gas Oils

Abstract: The partition coefficients’ application in the hexane–acetonitrile system as an additional identification feature of polyaromatic hydrocarbons in the review gas chromatography–mass spectrometry analysis of delayed coking gas oils has been considered. The UNIFAC model was used to calculate the partition coefficients of polycyclic aromatic hydrocarbons. It is shown that methyl derivatives of naphthalene, fluorene, anthracene, and pyrene can be identified with an accuracy up to several methyl groups by the positi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 7 publications
(1 citation statement)
references
References 37 publications
0
1
0
Order By: Relevance
“…In addition, an important advantage of using this system is quick phase separation. The efficiency of this method has been demonstrated in multicomponent mixtures: various essential oils and aromatized petroleum products. , The main complication in using this method is the lack of experimental partition coefficients for various substances. For this purpose, various linear regression models are often used which makes possible substance partition coefficient prediction based on its known physical properties .…”
Section: Introductionmentioning
confidence: 99%
“…In addition, an important advantage of using this system is quick phase separation. The efficiency of this method has been demonstrated in multicomponent mixtures: various essential oils and aromatized petroleum products. , The main complication in using this method is the lack of experimental partition coefficients for various substances. For this purpose, various linear regression models are often used which makes possible substance partition coefficient prediction based on its known physical properties .…”
Section: Introductionmentioning
confidence: 99%