Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/151006
Title: New approach to multivariate standard addition based on multivariate curve resolution by alternating least squares: Application to voltammetric data
Author: Tapia, María A.
Pérez Ràfols, Clara
Ariño Blasco, Cristina
Serrano i Plana, Núria
Díaz Cruz, José Manuel
Keywords: Voltametria
Elèctrodes
Fosfats
Aigua potable
Estructura molecular
Voltammetry
Electrodes
Phosphates
Drinking water
Molecular structure
Issue Date: 17-Jan-2020
Publisher: American Chemical Society
Abstract: A multivariate version of the classical univariate standard addition method is proposed for the analysis of samples generating overlapping signals in the presence of notorious matrix effects. Unlike previous versions based on multivariate calibration by partial least-squares (PLS), the proposed strategy takes advantage of a self-modeling methodology: multivariate curve resolution by alternating least-squares (MCR-ALS) enhanced with signal shape constraints based on parametric functions. In this way, there is no need for the full multivariate response of a blank solution, and in multianalyte determinations, the standard additions can be made with a solution containing all of the analytes, which constitutes a clear advance as compared to PLS approach. The proposed method has been successfully tested in the voltammetric determination of hydroquinone and catechol in solutions of increasing complexity and appears to be a promising tool in the field of electroanalysis.
Note: Versió postprint del document publicat a: https://doi.org/10.1021/acs.analchem.9b0547
It is part of: Analytical Chemistry, 2020, vol. 92, num. 4, p. 3396-3402
URI: http://hdl.handle.net/2445/151006
Related resource: https://doi.org/10.1021/acs.analchem.9b0547
ISSN: 0003-2700
Appears in Collections:Articles publicats en revistes (Enginyeria Química i Química Analítica)

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