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Banjac, Z., Ginebreda, A., Kuzmanovic, M., Marcé, R., Nadal, M., Riera, J.M. and Barceló, D. (2015) Emission Factor Estimation of ca. 160 Emerging Organic Microcontaminants by Inverse Modeling in a Mediterranean River Basin (Llobregat, NE Spain). Science of the Total Environment, 520, 241-252.
https://doi.org/10.1016/j.scitotenv.2015.03.055

has been cited by the following article:

• TITLE: Fitting Nonlinear Calibration Curves: No Models Perfect

  AUTHORS: Julia Martin, Alberto Romero Gracia, Agustín G. Asuero

  KEYWORDS: Calibration, Non Linear Calibration, Residual Analysis, Liquid Chromatography-Tandem Mass Spectrometry, Emerging Pollutants

  JOURNAL NAME: Journal of Analytical Sciences, Methods and Instrumentation, Vol.7 No.1, March 3, 2017

  ABSTRACT: 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).