2018
DOI: 10.1021/acs.analchem.8b04841
|View full text |Cite
|
Sign up to set email alerts
|

Recent Developments in Two-Dimensional Liquid Chromatography: Fundamental Improvements for Practical Applications

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
181
0
1

Year Published

2020
2020
2023
2023

Publication Types

Select...
5
3

Relationship

1
7

Authors

Journals

citations
Cited by 284 publications
(182 citation statements)
references
References 229 publications
0
181
0
1
Order By: Relevance
“…Two-dimensional liquid chromatography has recently attracted attention as an advanced tool for the multi-contaminant analysis of food products [19][20][21]. This separation technique can overcome the common challenges that one-dimensional LC techniques face in separating compounds with physicochemical characteristics, such as polarities and molecular charges; moreover, 2D-LC techniques can improve data reproducibility, chromatographic resolution, and time and resource usage due to the reduced need for extra sample preparation, especially for automated online 2D-LC and 2D-LC combined with high-resolution MS detection [20]. Effluent transfer from the first dimension (1D) column to the 2D column is commonly performed via the comprehensive (LC × LC) or heart-cutting (LC-LC) modes [21].…”
Section: Mycotoxin Analysis Methodsmentioning
confidence: 99%
“…Two-dimensional liquid chromatography has recently attracted attention as an advanced tool for the multi-contaminant analysis of food products [19][20][21]. This separation technique can overcome the common challenges that one-dimensional LC techniques face in separating compounds with physicochemical characteristics, such as polarities and molecular charges; moreover, 2D-LC techniques can improve data reproducibility, chromatographic resolution, and time and resource usage due to the reduced need for extra sample preparation, especially for automated online 2D-LC and 2D-LC combined with high-resolution MS detection [20]. Effluent transfer from the first dimension (1D) column to the 2D column is commonly performed via the comprehensive (LC × LC) or heart-cutting (LC-LC) modes [21].…”
Section: Mycotoxin Analysis Methodsmentioning
confidence: 99%
“…Examples of its application include LC-DAD and LC-MS data [36,37]. MCR decomposes a matrix into pure chromatographic and spectral profiles, plus noise or error, as in equation (5) = + (5) in which represents the recorded data, and and the pure chromatographic and spectral profiles of the components in the sample, respectively.…”
Section: Multivariate Curve Resolution and Orthogonal Subspace Projecmentioning
confidence: 99%
“…Method development using one-segment-per-component optimization strategies LC 2014 [238] Optimization of HPLC with ANNs LC 2005 [216] Predictive kinetic optimization of HILIC × RP-LC separations LC × LC 2018 [11] Program for the interpretive optimization of 2D resolution LC × LC 2016 [286] Optimization of conditions 2D-RP-LC LC × LC 2015 [184] Pareto-optimality study into the comparison of LC × LC in the column and spatial mode LC × LC 2012 [296] Challenges in LC × LC Review 2018 [5] Optimizing separations in LC × LC Review 2018 [6] Optimization of GC × GC Review 2012 [182] Likelihood of total resolution in sLC × LC with parallel processing sLC × LC 2018 [297] Orthogonality Title…”
Section: Title Subcategory Year Referencementioning
confidence: 99%
See 1 more Smart Citation
“…Such analysis does not only dramatically increase the metabolite coverage but also provide accurate metabolite quantification and reliable metabolic pathway assignment. These advanced techniques should be particularly useful in dealing with complex biological samples [ 13 ], such as plasma/serum, which contains not only human endogenous metabolites but also environmental metabolites, plant metabolites, pharmaceutical metabolites, and microbial metabolites in a wide range of concentrations [ 1 ]. Yet, the introduction of these advanced two-dimensional approaches to clinical samples has not progressed as rapidly as expected.…”
Section: Introductionmentioning
confidence: 99%