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Exploring the potential of combining chemometric approaches to model non-linear multi-way data with quantitative purposes - A case study.
Palomino-Vasco, Mónica; Mora-Diez, Nielene M; Rodríguez-Cáceres, María I; Acedo-Valenzuela, María I; Alcaraz, Mirta R; Goicoechea, Héctor C.
Afiliación
  • Palomino-Vasco M; Department of Analytical Chemistry and Research Institute on Water, Climate Change and Sustainability (IACYS), University of Extremadura, Badajoz, 06006, Spain.
  • Mora-Diez NM; Department of Analytical Chemistry and Research Institute on Water, Climate Change and Sustainability (IACYS), University of Extremadura, Badajoz, 06006, Spain.
  • Rodríguez-Cáceres MI; Department of Analytical Chemistry and Research Institute on Water, Climate Change and Sustainability (IACYS), University of Extremadura, Badajoz, 06006, Spain.
  • Acedo-Valenzuela MI; Department of Analytical Chemistry and Research Institute on Water, Climate Change and Sustainability (IACYS), University of Extremadura, Badajoz, 06006, Spain.
  • Alcaraz MR; Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional Del Litoral, Ciudad Universitaria, Santa Fe, S3000ZAA, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy
  • Goicoechea HC; Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional Del Litoral, Ciudad Universitaria, Santa Fe, S3000ZAA, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy
Anal Chim Acta ; 1141: 63-70, 2021 Jan 02.
Article en En | MEDLINE | ID: mdl-33248663
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 conspires to a high likelihood success in the resolution of systems of varying complexity. This work aims to demonstrate the applicability of a combined chemometric strategy to solve non-linear multivariate calibration systems in the presence of non-multilinear multi-way data. The determination of histamine by differential pulse voltammetry at different pH is presented as case study. The experimental system has the outstanding difficulty arisen from the large displacement along the potential axis by the pH, which was successfully overcome by implementation of the presented combined strategy. For data modeling, MCR-ALS, U-PLS/RBL and U-PCA/RBL-RBF were used. MCR-ALS allowed unraveling the non-linear behavior between the signal and the concentration, and extracting the underlying profiles of the constituent. Quantitative analysis was performed through the three models, and a comparative evaluation of the predictive performance was done. The best results were achieved with U-PCA/RBL-RBF (mean recovery = 101%) whereas, MCR-ALS yield the lowest mean recovery for all samples (70%).
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Anal Chim Acta Año: 2021 Tipo del documento: Article País de afiliación: España Pais de publicación: Países Bajos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Anal Chim Acta Año: 2021 Tipo del documento: Article País de afiliación: España Pais de publicación: Países Bajos