2012
DOI: 10.1016/j.jchromb.2012.06.039
|View full text |Cite
|
Sign up to set email alerts
|

Trends in data processing of comprehensive two-dimensional chromatography: State of the art

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
33
0

Year Published

2013
2013
2015
2015

Publication Types

Select...
6
2
1

Relationship

2
7

Authors

Journals

citations
Cited by 58 publications
(35 citation statements)
references
References 68 publications
(142 reference statements)
0
33
0
Order By: Relevance
“…18 The twodimensional chromatograms are reconstructed from the string of one-dimensional chromatograms recorded by the detector. 17,19 A possible valve configuration is shown in Figure 1.…”
Section: ■ Comprehensive Two-dimensional Liquid Chromatographymentioning
confidence: 99%
“…18 The twodimensional chromatograms are reconstructed from the string of one-dimensional chromatograms recorded by the detector. 17,19 A possible valve configuration is shown in Figure 1.…”
Section: ■ Comprehensive Two-dimensional Liquid Chromatographymentioning
confidence: 99%
“…As a result, the sample-to-sample comparison is improved, and the sample characterization is facilitated especially when LC£LC is combined with the informing power of a multichannel detector. Nevertheless, extracting useful information from a large amount of multi-dimensional data is still one of the major drawbacks for a wider application of LC£LC-DAD procedures (Matos et al 2012). Therefore, in this work, a mathematical procedure, introduced recently by Matos et al (2013), has been used to deal with a large amount of data generated by the PALC£SEC-DAD system and draw a 3D fingerprinting for each WSOM sample, which alongside other samples can be used to identify different patterns associated with the specific properties of each sample under study.…”
Section: Introductionmentioning
confidence: 99%
“…After this, absolute quantification can be achieved with the help of standard calibration strategies, including the following methods: normalization, internal standard, external standard, and standard addition [21,22]. In order to generate calibration models in GC Â GC data, a two-step approach is accomplished: First, the deconvolution of unresolved chromatographic peaks is performed and then a univariate calibration model is developed.…”
Section: Multiway Calibration I: Two-step Approachmentioning
confidence: 99%
“…Initially, it was used in psychometrics field. However, some requirements must be met by the experimental data for a successful application of PARAFAC: linear detector response with concentration variation and no shifts in the retention time of GC Â GC peaks [22]. Since then, it has been gaining more and more interest in chemometrics due to the analytic instrument improvements and computer development.…”
Section: Multiway Calibration I: Two-step Approachmentioning
confidence: 99%