2020
DOI: 10.1016/j.chroma.2020.461283
|View full text |Cite
|
Sign up to set email alerts
|

Numerical and experimental investigation of analyte breakthrough from sampling loops used for multi-dimensional liquid chromatography

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7

Relationship

4
3

Authors

Journals

citations
Cited by 13 publications
(10 citation statements)
references
References 42 publications
0
7
0
Order By: Relevance
“…dictated the experimental conditions used, which were not necessarily optimal for the 1 mm columns. For example, the system external volume was the same for all column combinations, and relatively large loop volumes were used to accommodate relatively high 1 D flow rates without sample loss due to loop overload . We expect that significant improvements can be obtained for the 2.1 mm × 1 mm TRLC × RPLC configuration by minimizing extra-column volume and system dwell volumes.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…dictated the experimental conditions used, which were not necessarily optimal for the 1 mm columns. For example, the system external volume was the same for all column combinations, and relatively large loop volumes were used to accommodate relatively high 1 D flow rates without sample loss due to loop overload . We expect that significant improvements can be obtained for the 2.1 mm × 1 mm TRLC × RPLC configuration by minimizing extra-column volume and system dwell volumes.…”
Section: Resultsmentioning
confidence: 99%
“…34 The sum of these area fractions reconstructs the 1 D peak and the total amount of compound injected, 33 if no loss due to sampling by overfilling of the loops occurs. 35 This method was thus chosen for the work here. Quantitative work in LC × LC is still limited and especially LOD evaluations, potentially due to the high time requirements for data evaluation and nonstandardized data treatment.…”
Section: ■ Experimental Sectionmentioning
confidence: 99%
See 1 more Smart Citation
“…It was advised, to fill loops to not more than 50% of the loop volume to avoid analyte loss due to the parabolic flow profile of the mobile phase in narrow loops [1]. An advisable filling volume of 50 -80% dependent on the acceptable level of sample loss was further confirmed via simulations and practical work [50]. Due to the limited coiling of the loop and the relatively high 1 D flow rate, a conservative approach in loop filling volume was chosen.…”
Section: Optimization Of Conditions For the Comprehensive Two-dimensi...mentioning
confidence: 99%
“…For example, most models of RP selectivity that are used to guide column selection (i.e., either to identify columns with similar or dissimilar selectivities) for small molecule separations are built upon selectivity measurements made under isocratic conditions [1][2][3][4][5]. Also, the theories used to make predictions about the effect of injection volume and sample composition on peak shapes (i.e., volume overload and mobile Article Related Abbreviations: NK, Neue-Kuss; SSD, sum of squared differences; DAD, diode array detector; LSS, linear solvent strength; MPRE, mean residual percent error phase/sample solvent mismatch) depend on the availability of isocratic retention data for analytes of interest in solvents corresponding to the sample and mobile phase compositions [6][7][8][9][10]. In contrast, retention models (e.g., Dry-Lab and similar tools) are often built as a part of method development using training data obtained under gradient elution conditions [11][12][13][14].…”
Section: Introductionmentioning
confidence: 99%