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Artículo

Applications of electrochemical data analysis by multivariate curve resolution-alternating least squares

Jalalvand, Ali R.; Goicoechea, Hector CasimiroIcon
Fecha de publicación: 03/2017
Editorial: Elsevier
Revista: Trac-Trends In Analytical Chemistry
ISSN: 0165-9936
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ciencias Químicas

Resumen

Electrochemistry studies the relationship between electricity and identifiable chemical change, with either electricity considered an outcome of a particular chemical change or vice-versa. Chemometrics is the chemical discipline that uses mathematical and statistical methods to design or select optimal procedures and experiments, and to provide maximum chemical information by analyzing chemical data. Multivariate curve resolution-alternating least squares (MCR-ALS) has become a popular chemometric method used for data analysis in many different application fields. This article intends to propose a comprehensive review on different applications of MCR-ALS in electrochemistry such as complexation studies, small molecule-biomacromolecule interactions, minimization of electrodic adsorption, separation of the faradic current contribution from total current to enhance the sensitivity of the electroanalytical techniques, quantification and spectroelectrochemistry. This review was written from both electrochemical and chemometrical points of view with the aim of providing useful information for the electrochemists and to promote the use of MCR-ALS in electrochemistry.
Palabras clave: Chemometrics , Complexation , Electrochemistry , Interaction , Mcr-Als , Minimization of Electrodic Adsorption , Quantification , Resolution
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/66011
URL: https://www.sciencedirect.com/science/article/pii/S0165993616302539
DOI: https://dx.doi.org/10.1016/j.trac.2017.01.005
Colecciones
Articulos(CCT - SANTA FE)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - SANTA FE
Citación
Jalalvand, Ali R.; Goicoechea, Hector Casimiro; Applications of electrochemical data analysis by multivariate curve resolution-alternating least squares; Elsevier; Trac-Trends In Analytical Chemistry; 88; 3-2017; 134-166
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