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Comparison of the predictive ability of several second-order multivariate methods in the simultaneous determination of two therapeutic drugs in human urine
(Elsevier Science, 2012-01)
The aim of this paper is to study the applicability of second-order multivariate methods in the simultaneous determination of two therapeutic drugs in human urine samples. The studied drugs, irinotecan and thalidomide, are ...
Exploring the potential of combining chemometric approaches to model non-linear multi-way data with quantitative purposes: a case study
(Elsevier Science, 2021-01)
Second-order based calibration methods have been widely investigated capitalizing on the inherent benefits of the data structure and the decomposition models, demonstrating that second-order advantage is a property that ...
Generation of non-multilinear three-way voltammetric arrays by an electrochemically oxidized glassy carbon electrode as an efficient electronic device to achieving secondorder advantage: Challenges, and tailored applications
(Elsevier, 2015-01)
For the first time, several second-order calibration models based on artificial neural network-residual bilinearization (ANN-RBL), unfolded-partial least squares-RBL (U-PLS/RBL), multidimensional-partial least squares-RBL ...
Total synchronous fluorescence spectroscopic data modeled with firstand second-order algorithms for the determination of doxorubicin in human plasma
(Springer Heidelberg, 2013-08)
In this work, we present the development of a method for the determination of doxorubicin in plasma samples in the presence of an unexpected component (riboflavin) by using total synchronous fluorescence spectroscopic data ...
Maximum likelihood unfolded principal component regression with residual bilinearization (MLU-PCR/RBL) for second-order multivariate calibration
(Elsevier Science, 2017-11)
A maximum likelihood model is described for performing second-order multivariate calibration with unfolded principal component regression with residual bilinearization (MLU-PCR/RBL). It differs from the conventional RBL ...
Unfolded partial least squares/residual bilinearizationcombined with the Successive Projections Algorithmfor interval selection:enhanced excitation-emission fluorescence data modeling in presence of inner filter effect
(Springer Heidelberg, 2015-05)
The use of the successive projections algorithm (SPA) for elimination of uninformative variables in interval selection, and unfold partial least squares regression (U-PLS) modeling of excitation-emission matrices (EEM),when ...
Photochemically induced fluorescence coupled to second-order multivariate calibration as analytical tool for determining imidacloprid in honeybees
(Elsevier, 2017)
This paper presents a method for the determination of imidacloprid in honeybees based on the measurement of excitation-emission spectra of photo-induced fluorescence (PIF-EEMs) associated to unfolded partial least squares ...
Photochemically induced fluorescence coupled to second-order multivariate calibration as analytical tool for determining imidacloprid in honeybees
(Elsevier, 2017)
This paper presents a method for the determination of imidacloprid in honeybees based on the measurement of excitation-emission spectra of photo-induced fluorescence (PIF-EEMs) associated to unfolded partial least squares ...
Coupling of digital image processing and three-way calibration to assist a paper-based sensor for determination of nitrite in food samples
(Royal Society of Chemistry, 2020-04)
In this work, a novel and very interesting analytical methodology based on coupling of digital image processing and three-way calibration has been developed for determination of nitrite in food samples. Nitrite in contact ...
The Successive Projections Algorithm for interval selection in trilinear partial least-squares with residual bilinearization
(Elsevier, 2013-12)
In this work the Successive Projection Algorithm is presented for intervals selection in N-PLS for three-way data modeling. The proposed algorithm combines noise-reduction properties of PLS with the possibility of discarding ...