Joint approximate diagonalization of eigenmatrices as a high-throughput approach for analysis of hyphenated and comprehensive two-dimensional gas chromatographic data

Zarghani, Maryam; Parastar, Hadi

doi:10.1016/j.chroma.2017.09.060

Cited by 9 publications

(3 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ICA resolved the elution and spectral profiles in GC-MS and GC × GC-MS data with different numbers of components, degrees of overlap and noise, with acceptable statistical and calibration results. The approach was successfully applied to the quantification of phenanthrene and anthracene in the aromatic fraction of heavy fuel oil (HFO) analyzed by GC × GC-MS [51]. ICA was also successfully used to numerically separate coeluting LC peaks of 19 antimalarial drugs and estimate their unbiased retention times [ 52].…”

Section: Chromatographic Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Independent components analysis (ICA) at the “cocktail-party” in analytical chemistry

Monakhova

Rutledge

2020

Talanta

View full text Add to dashboard Cite

Independent components analysis (ICA) is a probabilistic method, whose goal is to extract underlying component signals, that are maximally independent and non-Gaussian, from mixed observed signals. Since the data acquired in many applications in analytical chemistry are mixtures of component signals, such a method is of great interest. In this article recent ICA applications for quantitative and qualitative analysis in analytical chemistry are reviewed. The following experimental techniques are covered: fluorescence, UV-VIS, NMR, vibrational spectroscopies as well as chromatographic profiles. Furthermore, we reviewed ICA as a preprocessing tool as well as existing hybrid ICA-based multivariate approaches. Finally, further research directions are proposed. Our review shows that ICA is starting to play an important role in analytical chemistry, and this will definitely increase in the future.

show abstract

Section: Chromatographic Methodsmentioning

confidence: 99%

“…It is clear that the range of applications of ICA to different types of chromatographic profiles should increase in the near future similarly to the alternative technique, MCR-ALS, which is widely used in chromatographic data analysis [45][46][47][48][49][50][51][52][53][54][55][56][57].…”

Section: Chromatographic Methodsmentioning

confidence: 99%

Independent components analysis (ICA) at the “cocktail-party” in analytical chemistry

Monakhova

Rutledge

2020

Talanta

View full text Add to dashboard Cite

show abstract

“…However, only the most widely used methods are presented in detail below: PARAFAC and its variant PARAFAC2 methods and MCR‐ALS method . However, both classical and recent methods should also be mentioned as potential alternatives for peak resolution such as the generalized rank annihilation method (GRAM), the trilinear decomposition (TLD), the iterative key set factor analysis (IKSFA), the alternative moving window factor analysis (AMWFA), and the joint approximate diagonalization of eigenmatrices (JADE) …”

Section: Peak Detection and Profilingmentioning

confidence: 99%

Chemometric Strategies for Peak Detection and Profiling from Multidimensional Chromatography

et al. 2018

View full text Add to dashboard Cite

The increasing complexity of omics research has encouraged the development of new instrumental technologies able to deal with these challenging samples. In this way, the rise of multidimensional separations should be highlighted due to the massive amounts of information that provide with an enhanced analyte determination. Both proteomics and metabolomics benefit from this higher separation capacity achieved when different chromatographic dimensions are combined, either in LC or GC. However, this vast quantity of experimental information requires the application of chemometric data analysis strategies to retrieve this hidden knowledge, especially in the case of nontargeted studies. In this work, the most common chemometric tools and approaches for the analysis of this multidimensional chromatographic data are reviewed. First, different options for data preprocessing and enhancement of the instrumental signal are introduced. Next, the most used chemometric methods for the detection of chromatographic peaks and the resolution of chromatographic and spectral contributions (profiling) are presented. The description of these data analysis approaches is complemented with enlightening examples from omics fields that demonstrate the exceptional potential of the combination of multidimensional separation techniques and chemometric tools of data analysis.

show abstract

Independent Component Analysis in Analytical Chemistry

Parastar¹

2020

Comprehensive Chemometrics

View full text Add to dashboard Cite

Joint approximate diagonalization of eigenmatrices as a high-throughput approach for analysis of hyphenated and comprehensive two-dimensional gas chromatographic data

Cited by 9 publications

References 44 publications

Independent components analysis (ICA) at the “cocktail-party” in analytical chemistry

Independent components analysis (ICA) at the “cocktail-party” in analytical chemistry

Chemometric Strategies for Peak Detection and Profiling from Multidimensional Chromatography

Independent Component Analysis in Analytical Chemistry

Contact Info

Product

Resources

About