A novel fourth-order calibration method based on alternating quinquelinear decomposition algorithm for processing high performance liquid chromatography–diode array detection– kinetic-pH data of naptalam hydrolysis

Qing, Xiang-Dong; Zhang, Xihua; Li, Yong; Gu, Hui‐Wen; Yu, Ru‐Qin

doi:10.1016/j.aca.2014.12.037

Cited by 22 publications

(6 citation statements)

References 31 publications

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“…Results obtained by this approach have been shown to be equivalent to those obtained by other multilinear decomposition methods like PARAFAC and/or its extensions 617 18 . Other methods and applications have been proposed in the literature for the extension of the trilinear model to the quadrilinear and quinquelinear models in the analysis of kinetic‐pH data coupled to LC‐DAD 19 , spectrofluorimetric 2021 and luminescence 22 data. However, all these methods are based on the fulfillment of the model for all the components obtained in the decomposition.…”

Section: Introductionmentioning

confidence: 65%

Multivariate curve resolution of multiway data using the multilinearity constraint

Tauler

2020

Journal of Chemometrics

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The extension of Multivariate Curve Resolution‐Alternating Least Squares (MCR‐ALS) to the analysis of multiway data using the multilinearity constraint is described in detail as one step forward of previous implementations of the trilinearity and quadrilinearity constraints for the analysis of three‐ and four‐way data sets, respectively. As in previous cases, the implementation of the multilinear model for multiway data sets is done algorithmically, within the frame of the alternating least squares (ALS) optimization in the MCR‐ALS method. This implementation is tested using multiway data sets of different complexity, and the obtained results have confirmed the adequacy of the proposed approach. Special advantages of the proposed methodology are that it allows for the implementation of the constraint separately for the different components in their different modes and that it also allows for the introduction of different levels of complexity of the multilinear model, including mixed multilinear models. These two features are especially relevant because they are not present in most of the most used multiway data analysis methods at present.

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Section: Introductionmentioning

confidence: 65%

Multivariate curve resolution of multiway data using the multilinearity constraint

Tauler

2020

Journal of Chemometrics

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“…At present, two-way, three-way and higher-way kinetic measurements have been reported in the literature [39][40][41][42][43][44][45][46][47]. It is well known that processing the data as its original higher-way structure is better than unfolding it into array of lower dimensions.…”

Section: Introductionmentioning

confidence: 99%

Second-order calibration method applied to process three-way excitation–emission-kinetic fluorescence data: A novel tool for real-time quantitative analysis of the lactone hydrolysis of irinotecan in human plasma

Yin

et al. 2015

Chemometrics and Intelligent Laboratory Systems

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“…Fortunately, the chemometrics second-order calibration method provides a good analytical strategy to conduct source apportionment of ambient particulate matter. It has the advantages of simplifying sample pretreatments, resolving overlapped chromatographic peaks and providing physicochemical information on components in an actual system because of its well-known "second-order advantage" [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

A New Receptor Model Based on the Alternating Trilinear Decomposition Followed by a Score Matrix Reconstruction for Source Apportionment of Ambient Particulate Matter

Qing¹,

Yin²,

Zhang³

et al. 2020

SJAC

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A new receptor model based on the alternating trilinear decomposition followed by a score matrix reconstruction (ATLD-SMR) was developed for the source apportionment of urban PM10 for the first time. First, simulated three-way data arrays of gas chromatography-mass spectrometry (GC-MS) were used to verify the feasibility of the ATLD-SMR method. Then, PM10 samples (receptor) at five locations and TSP samples of ten pollution sources were collected during July and August, 2018 in Loudi City, China. The collected samples were measured by GC-MS. PAHs were used as tracers and their concentrations were accurately obtained by the ATLD-SMR analysis of GC-MS data of these samples after the problems of GC-MS including baseline drift, retention-time shift and unexpected peaks overlapping were successfully resolved. The highest concentrations of individual PAH in these samples were for phenanthrene and benzo [a] pyrene (40.76 ng m -3 and 39.63 ng m -3 in Liangang steel-making workshop, respectively). Last, a relative contribution matrix of the source to the receptor was estimated by the ATLD-SMR method. The proposed method was employed to apportion the source contributions to PM10 particles at five locations and reasonable results were obtained, thus presenting a promising tool for source apportionment of complex ambient particulate matter.

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A novel fourth-order calibration method based on alternating quinquelinear decomposition algorithm for processing high performance liquid chromatography–diode array detection– kinetic-pH data of naptalam hydrolysis

Cited by 22 publications

References 31 publications

Multivariate curve resolution of multiway data using the multilinearity constraint

Multivariate curve resolution of multiway data using the multilinearity constraint

Second-order calibration method applied to process three-way excitation–emission-kinetic fluorescence data: A novel tool for real-time quantitative analysis of the lactone hydrolysis of irinotecan in human plasma

A New Receptor Model Based on the Alternating Trilinear Decomposition Followed by a Score Matrix Reconstruction for Source Apportionment of Ambient Particulate Matter

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