Generalized rank annihilation factor analysis

Sanchez, Eugenio; Kowalski, Bruce R.

doi:10.1021/ac00293a054

Cited by 453 publications

(229 citation statements)

References 17 publications

(1 reference statement)

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“…Other less employed algorithms in this context 232 are generalized rank annihilation (GRAM) [22], direct trilinear decomposition (DTLD) 233 [23] and bilinear least-squares (BLLS) [24], either because the use single calibration 234…”

Section: ** 221mentioning

confidence: 99%

Second- and higher-order data generation and calibration: A tutorial

Escandar

Goicoechea

Peña

et al. 2014

Analytica Chimica Acta

156

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Section: ** 221mentioning

confidence: 99%

Second- and higher-order data generation and calibration: A tutorial

Escandar

Goicoechea

Peña

et al. 2014

Analytica Chimica Acta

156

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“…Comprehensive information about the different second-order algorithms can be found in the pertinent literature [13][14][15][16][17][18][19][20][21]. In addition, complete reviews were presented with a wide range of applications to second-order data (including chromatography) [6][7][8].…”

Section: Time Shift Correctionmentioning

confidence: 99%

“…generalized rank annihilation (GRAM) [13], direct trilinear decomposition (DTLD) [14,15], selfweighted alternating trilinear decomposition (SWATLD) [16], alternating penalty trilinear decomposition (APTLD) [17], parallel factor analysis (PARAFAC) [18], multivariate curve resolution alternating least squares (MCR-ALS) [19], and the most recently implemented bilinear least squares (BLLS) [20], unfolded partial least squares/residual bilinearization (U-PLS/RBL) [21] and artificial neural networks followed by residual bilinearization (ANN/RBL) [22].…”

Section: Introductionmentioning

confidence: 99%

Chemometric strategies for enhancing the chromatographic methodologies with second-order data analysis of compounds when peaks are overlapped

Goicoechea

Culzoni

García

et al. 2011

Talanta

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This overview covers the different chemometric strategies linked to chromatographic methodologies that have been used and presented in the recent literature to cope with problems related to incomplete separation, the presence of unexpected components in the sample, matrix effect and changes in the analytical signal due to pre-treatment of sample.Among the different chemometric strategies it focuses on pre-treatment of data to correct background and time shift of chromatographic peaks and the use of second-order algorithms to cope with overlapping peaks from analytes or from analytes and interferences in liquid chromatography coupled to diode array, fast-scanning fluorescence spectroscopy and mass spectrometry detectors.Finally the review presents the strategies used to deal with changes in the analytical response as result of matrix effect in liquid and gas chromatography, as well as the use of standardization strategies to correct modifications in the analytical signal as a consequence of sample pre-treatment in liquid chromatography.

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“…The experimental results demonstrated that both algorithms, as promising quantitative alternatives, have been satisfactorily applied to the determination of sulpiride in human urine, but the performance of AFR was slightly better than that of SWATLD. Especially, three-way calibration algorithms, [14][15][16][17][18][19][20][21][22][23][24][25][26][27] such as parallel factor analysis (PARAFAC), 16,17 alternating trilinear decomposition (ATLD) 20 and self-weighted alternating trilinear decomposition (SWATLD), 21 are being increasingly utilized for the processing of three-way data following the trilinear component model. 17 One is able to extract relative concentrations and spectral profiles of individual components in mixture samples, since the methods enable unique decompositions of a three-way data array.…”

Section: Introductionmentioning

confidence: 99%