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Allgood, J.M., Jimah, T., McClaskey, C.M., La Guardia, M.J., Hammel, S.C., Zeineddine, M.M., Tang, I.W., Runnerstrom, M.G. and Ogunseitan, O.A. (2017) Potential Human Exposure to Halogenated Flame-Retardants in Elevated Surface Dust and Floor Dust in an Academic Environment. Environmental Research, 153, 55-62.
https://doi.org/10.1016/j.envres.2016.11.010

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).