Two-dimensional correlation analysis of the reproducibility of high-performance liquid chromatography columns

Simon, József; Felinger, Attila

doi:10.1016/j.chroma.2015.01.058

Cited by 12 publications

(3 citation statements)

References 26 publications

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“…zj(e2) can be directly obtained from PDOS as the dynamic spectra ỹj(e1) by applying a simple linear transformation operation and Hilbert-Noda transformation matrix method. 55 F (e1,e2) represents the overall similarity or coincidental tendency between two separate intensity variations measured between different PDOS variables.…”

Section: Computational Detailsmentioning

confidence: 99%

DFT and two-dimensional correlation analysis for evaluating the oxygen defect mechanism of low-density 4f (or 5f) elements interacting with Ca-Mt

et al. 2015

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Section: Computational Detailsmentioning

confidence: 99%

DFT and two-dimensional correlation analysis for evaluating the oxygen defect mechanism of low-density 4f (or 5f) elements interacting with Ca-Mt

et al. 2015

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“…It certainly has a few applications, but has not gained a wide-spread acceptance [3][4][5][6][7][8][9][10][11][12][13][14][15][16]. We also tested 2DCOR in chromatography for a comparison of high-performance liquid chromatography (HPLC) columns [17], but quickly realized the disadvantage. In our opinion the reason why 2DCOR cannot be popular among chromatographers lies in a single reason: the peaks in chromatograms correlate much less than their spectroscopic counterparts.…”

Section: Introductionmentioning

confidence: 99%

The use of alteration analysis in supercritical fluid chromatography to monitor changes in a series of chromatograms

Simon¹,

Rédei

Felinger

2019

Journal of Chromatography A

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“…Two-dimensional correlation spectroscopy (2D-COS) is a potent technique for analyzing a series of spectra. A set of spectra sequentially acquired under some form of perturbation is converted into a correlation plot on a plane spanned by two independent spectral variables. , 2D-COS has been applied in various fields. − Many applications of 2D-COS have been reported in the analysis of chromatographic data. − However, these studies primarily concern auxiliary information in the bilinear data, and no attempt to retrieve spectra of pure components has been explored.…”

mentioning

confidence: 99%

Sample–Sample Correlation Asynchronous Spectroscopic Method Coupled with Multivariate Curve Resolution-Alternating Least Squares To Analyze Challenging Bilinear Data

Guo

Zhang

et al. 2019

Anal. Chem.

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An approach to construct a secondary asynchronous spectrum via sample–sample correlation (SASS) is proposed to analyze bilinear data from hyphenated spectroscopic experiments. In SASS, bilinear data is used to construct a series of two-dimensional (2D) sample–sample correlation spectra. Then a vertical slice is extracted from each 2D sample–sample correlation spectrum so that a secondary 2D asynchronous spectrum is constructed via these slices. The advantage of SASS is demonstrated by a model system with the following challenging situations: (1) Temporal profiles of different components severely overlap, making spectra of pure components difficult to directly obtain from either original bilinear data or multivariate curve resolution-alternating least squares (MCR-ALS) with non-negativity and unimodality constraints. (2) Every peak in the spectra of the eluted samples contains contributions from at least two components. Hence, two-dimensional correlation spectroscopy (2D-COS) and n-dimensional (nD) asynchronous spectroscopic method developed in our previous work, which previously worked so well, are now invalid. SASS managed to reveal different groups of systematic absences of cross peaks (SACPs) that reflect the lack of spectral contributions of different components at different regions in the second asynchronous spectrum. Spectra of different components can still be faithfully retrieved via MCR-ALS calculation using constraints revealed by different groups of SACPs. The results demonstrate that implicit but intrinsic information revealed by SASS is indispensable in solving challenging bilinear data as the model system. We applied SASS on two real-world examples from thermogravimetry-Fourier transform infrared spectroscopy (TG-FT-IR) experiments of mixtures (H2O/HOD/D2O and H2O/isopropanol/pyridine). FT-IR spectra of different components were successfully recovered. Moreover, FT-IR spectrum of HOD, which is difficult to obtain, was successfully extracted. SASS can be applied in the analysis of gaseous mixtures from TG-FT-IR experiment and a combination of quantum cascade lasers with substrate-integrated hollow waveguides in environmental monitoring and biomedical diagnosis. Furthermore, SASS is also useful in various advanced hyphenated spectroscopic experiments.

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Two-dimensional correlation analysis of the reproducibility of high-performance liquid chromatography columns

Cited by 12 publications

References 26 publications

DFT and two-dimensional correlation analysis for evaluating the oxygen defect mechanism of low-density 4f (or 5f) elements interacting with Ca-Mt

DFT and two-dimensional correlation analysis for evaluating the oxygen defect mechanism of low-density 4f (or 5f) elements interacting with Ca-Mt

The use of alteration analysis in supercritical fluid chromatography to monitor changes in a series of chromatograms

Sample–Sample Correlation Asynchronous Spectroscopic Method Coupled with Multivariate Curve Resolution-Alternating Least Squares To Analyze Challenging Bilinear Data

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