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Fitting Nonlinear Calibration Curves: No Models Perfect

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Autor: Martín Bueno, Julia
Romero Gracia, Alberto
García Asuero, Agustín
Departamento: Universidad de Sevilla. Departamento de Química Analítica
Fecha: 2017
Publicado en: Journal of Analytical Sciences, Methods and Instrumentation, 7, 1-17.
Tipo de documento: Artículo
Resumen: The study of the calibration of a series of compounds of environmental concern (six perfluoroalkyl compounds (perfluorooctane sulfonic acid and five perfluoroalkyl carboxylic acids), three preservatives (methyl-, ethyl- and propylparabens) and the brominated flame retardant hexabromocyclododecane) by LC-MS/MS has been carries out, with a view to their simultaneous determination in samples of environmental interest. In some cases nonlinear calibration curves are obtained, but restricting the concentration range a linear model may be used to fit the data. Residual analysis has been performed in order to verify which models fit the data better, opting for a compromise decision given the apparent complexity of residuals plots. As Box states there are no perfect models (but models that work better than others).
Cita: Martín Bueno, J., Romero Gracia, A. y García Asuero, A. (2017). Fitting Nonlinear Calibration Curves: No Models Perfect. Journal of Analytical Sciences, Methods and Instrumentation, 7, 1-17.
Tamaño: 1.621Mb
Formato: PDF

URI: http://hdl.handle.net/11441/67961

DOI: 10.4236/jasmi.2017.71001

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