2020
DOI: 10.1016/j.chroma.2019.460700
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of a series of phenyl-type stationary phases in supercritical fluid chromatography with the linear solvation energy relationship model and its application to the separation of phenolic compounds

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 14 publications
(4 citation statements)
references
References 29 publications
0
4
0
Order By: Relevance
“…In 2020, Jiang et al studied the retention mechanism for a series of synthesized phenyl‐type stationary phases with different substituted benzenes using original LSER models with a set of more than 90 compounds. 161 The obtained LSER models showed a good fit to the data set with a maximum correlation coefficient value of 0.992 and a maximum standard deviation of 0.255. In addition, it was found that compared to the ODS, the phenyl‐type stationary phases were able to provide all types of interaction with different strengths, and thus can provide a wide range of selectivity.…”
Section: Psfc Retention Mechanism Studiesmentioning
confidence: 80%
See 1 more Smart Citation
“…In 2020, Jiang et al studied the retention mechanism for a series of synthesized phenyl‐type stationary phases with different substituted benzenes using original LSER models with a set of more than 90 compounds. 161 The obtained LSER models showed a good fit to the data set with a maximum correlation coefficient value of 0.992 and a maximum standard deviation of 0.255. In addition, it was found that compared to the ODS, the phenyl‐type stationary phases were able to provide all types of interaction with different strengths, and thus can provide a wide range of selectivity.…”
Section: Psfc Retention Mechanism Studiesmentioning
confidence: 80%
“…Moreover, the proposed global model highlighted the impact of compound physicochemical properties on the retention behavior under gradient conditions. In 2020, Jiang et al studied the retention mechanism for a series of synthesized phenyl‐type stationary phases with different substituted benzenes using original LSER models with a set of more than 90 compounds 161 . The obtained LSER models showed a good fit to the data set with a maximum correlation coefficient value of 0.992 and a maximum standard deviation of 0.255.…”
Section: Psfc Retention Mechanism Studiesmentioning
confidence: 99%
“…A simple way to estimate the contribution of partitioning and adsorption to retention is to plot logk against the volume percentage of the co-solvent in the mobile phase and fit the data to the logk-φ or logk-logφ coordinates representing the partitioning and adsorption regimes respectively (64). The most popular QSRR method for processing retention data of many solutes aimed at column selection is the linear solvation energy relationship (LSER) modeling including Abraham descriptors (65,66).…”
Section: Column Chemistry: Retention and Selectivitymentioning
confidence: 99%
“…A quite wide range of stationary phases has been applied to the SFC separation of TCMs. Besides traditional bare silica and modified silica‐based stationary phases like diol, amino, amide, and cyanopropyl, other types of stationary phases designed for SFC such as 2‐ethylpyridine (2‐EP), diethylamine (DEA), 2‐picolylamine (2‐PIC), and 1‐aminoanthracene (1‐AA) also performed well [14–16]. Moreover, the feasibility of using chiral stationary phases in the separation of structural analogues in TCMs was proved [17, 18].…”
Section: Introductionmentioning
confidence: 99%