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Exploiting second-order advantage from mathematically modeled voltammetric data for simultaneous determination of multiple antiparkinson agents in the presence of uncalibrated interference
(Elsevier Science, 2018-07)
In this work, we are going to develop an efficient electroanalytical methodology based on generation of second-order differential pulse voltammetric (DPV) data at different pulse heights to exploit second-order advantage ...
Developing a four-dimensional voltammetry as a powerful electroanalytical methodology for simultaneous determination of three colorants in the presence of an uncalibrated interference
(Elsevier Science, 2019-04)
In the present study, we have developed a novel electroanalytical method based on coupling of four-way multivariate calibration (MVC) models with third-order differential pulse voltammetric (DPV) data for simultaneous ...
Multidimensional voltammetry: Four-way multivariate calibration with third-order differential pulse voltammetric data for multi-analyte quantification in the presence of uncalibrated interferences
(Elsevier Science, 2015-11)
A four-way multivariate calibration approach based on the combination of differential pulse voltammetric (DPV) data and four-way algorithms is described for the first time. To achieve this goal, the DPV response of each ...
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 ...
Spectrofluorimetry in organized media coupled to second-order multivariate calibration for the determination of galantamine in the presence of uncalibrated interferences
(Elsevier Science, 2010-06)
The present article describes the spectrofluorimetric determination of galantamine, a widely used<br />acetylcholinesterase inhibitor, through excitation–emission fluorescence matrices and second-order calibration. With ...
Ultrasonic Lamb waves detection using an unstabilized optical interferometer with uncalibrated phase shifts
(Taylor & Francis, 2014-11)
We present an experimental and post-processing scheme that allows ultrasound surface wave detection by means of an unstabilized homodyne interferometric technique. We register interference signals for a set of uncalibrated ...
Second-order advantage with excitation-emission fluorescence spectroscopy and a flow-through optosensing device: Simultaneous determination of thiabendazole and fuberidazole in the presence of uncalibrated interferences
(Royal Society of Chemistry, 2010-04)
This paper presents a novel approach for the simultaneous determination of two widely used fungicides in a very interfering environment, combining the advantage of a spectrofluorimetric optosensor coupled to a flow-injection ...
Four-way kinetic-excitation-emission fluorescence data processed by multi-way algorithms. Determination of carbaryl and 1-naphthol in water samples in the presence of fluorescent interferents
(Elsevier Science, 2010-09)
Four-way data were obtained by recording the kinetic evolution of excitation-emission fluorescence matrices for samples containing the analytes carbaryl and 1-naphthol, two widely employed pesticides, in the concentration ...
Modeling nonbilinear total synchronous fluorescence data matrices with a novel adapted partial least squares method
(Elsevier, 2015-01)
A new residual modeling algorithm for nonbilinear data is presented, namely unfolded partial least squares with interference modeling of non bilinear data by multivariate curve resolution by alternating least squares ...
Quantifying the Prediction Error in Analytical Multivariate Curve Resolution Studies of Multicomponent Systems
(American Chemical Society, 2018-06)
In multivariate curve resolution (MCR) analysis, a range of feasible solutions is often encountered, because of the rotational ambiguities associated with the bilinear decomposition of data matrices. For quantitative ...