2020
DOI: 10.1016/j.microc.2019.104298
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On the performance of multivariate curve resolution to resolve highly complex liquid chromatography–full scan mass spectrometry data for quantification of selected immunosuppressants in blood and water samples

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Cited by 18 publications
(7 citation statements)
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“…Multivariate curve resolution-alternating least squares (MCR-ALS) on the other hand, is a powerful chemometric method able to analyze multicomponent systems with strongly overlapping contributions from complex chemical systems, including chromatographic analysis of environmental samples with a large number of chemical constituents [ 15 , 16 ]. The combination of the ROI and MCR-ALS methods is called the ROIMCR procedure and has been already applied in different research papers of liquid chromatography-high-resolution mass spectrometry (LC-HRMS) [17][18][19][20][21][22][23][24][25][26] . The ROIMCR procedure is inherently a non-targeted approach because it does not require any preliminary knowledge or chemical information about the sample constituents.…”
Section: Introductionmentioning
confidence: 99%
“…Multivariate curve resolution-alternating least squares (MCR-ALS) on the other hand, is a powerful chemometric method able to analyze multicomponent systems with strongly overlapping contributions from complex chemical systems, including chromatographic analysis of environmental samples with a large number of chemical constituents [ 15 , 16 ]. The combination of the ROI and MCR-ALS methods is called the ROIMCR procedure and has been already applied in different research papers of liquid chromatography-high-resolution mass spectrometry (LC-HRMS) [17][18][19][20][21][22][23][24][25][26] . The ROIMCR procedure is inherently a non-targeted approach because it does not require any preliminary knowledge or chemical information about the sample constituents.…”
Section: Introductionmentioning
confidence: 99%
“…of the chemical constituents in complex mixtures while no information is available on the composition and concentration of these mixtures . This algorithm decomposes the instrumental response matrix ( D ) to the concentration/spectral profiles in the C matrix and the pure spectra in the S T matrix of the components present in a mixture. , In this study, the MCR-ALS method was performed to resolve EEM fluorescence data matrices and recover the spectral profiles (emission and excitation wavelengths) of antibiotics in complex samples. The EEM data structure was of size (122 × 32), 122 rows (emission wavelengths), and 32 columns (excitation wavelengths).…”
Section: Discussionmentioning
confidence: 99%
“…In this study, nonnegativity and unimodality constraints were performed to optimize ALS for elution and mass spectra profiles. Also, 60 components containing one elution and mass spectra profiles were resolved by MCR-ALS [ 12 , 19 ]. An example of the resolution of one of the components is shown in Figure 1 .…”
Section: Methodsmentioning
confidence: 99%