2022
DOI: 10.1016/j.talo.2022.100140
|View full text |Cite
|
Sign up to set email alerts
|

Solvent bar microextraction combined with HPLC-DAD and multivariate optimization for simultaneous determination of three antiarrhythmic drugs in human urine and plasma samples

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
5
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5
2

Relationship

1
6

Authors

Journals

citations
Cited by 9 publications
(5 citation statements)
references
References 47 publications
0
5
0
Order By: Relevance
“…The SBME of BES, TES, and PRO is subject to numerous influencing factors, necessitating an optimized experimental design to determine the optimal combination of factors with minimal experimental effort. For this purpose, chemometric approaches using CCD-based RSM using Chemoface ® v1.66 [35] were applied at three levels for four test factors listed in the Supplementary Table for Materials (Table S1). Midpoints were usually replicated to estimate experimental errors.…”
Section: Experimental Designmentioning
confidence: 99%
See 1 more Smart Citation
“…The SBME of BES, TES, and PRO is subject to numerous influencing factors, necessitating an optimized experimental design to determine the optimal combination of factors with minimal experimental effort. For this purpose, chemometric approaches using CCD-based RSM using Chemoface ® v1.66 [35] were applied at three levels for four test factors listed in the Supplementary Table for Materials (Table S1). Midpoints were usually replicated to estimate experimental errors.…”
Section: Experimental Designmentioning
confidence: 99%
“…Experiments were then run on these design points, and the EE% response variable was used to measure each combination of factor levels listed in Table 1. Then, the obtained experimental data listed in Table 1 were used to fit a mathematical (quadratic or polynomial) model equation describing the relationship between factors and responses [35]. The essential factors and their optimal values can be estimated by analyzing the model.…”
Section: Experimental Designmentioning
confidence: 99%
“…Numerous influencing factors need to be considered while designing experiments. To accomplish this objective, chemometric techniques involving CCD-based RSM using the Chemoface ® software [33] were implemented with three key parameters and factorial points (À1 and þ1), with each numerical factor being varied across three levels. The complete details of these factors and their levels can be found in Table S1 in the Supplementary Material.…”
Section: Experimental Chemical and Materialsmentioning
confidence: 99%
“…Experiments were then run on these design points, and the EE% response variable was used to measure each combination of factor levels listed in Table 1. Then, the obtained experimental data listed in Table 1 were used to fit a mathematical (quadratic or polynomial) model equation describing the relationship between factors and responses [33]. The essential factors and their optimal values can be estimated by analyzing the model.…”
Section: Experimental Chemical and Materialsmentioning
confidence: 99%
See 1 more Smart Citation