Nonlinear Fits of Standard Curves: A Simple Route to Uncertainties in Unknowns
Carl Salter
Department of Chemistry, Moravian College, Bethlehem, PA 18018-6650
Robert de Levie
Department of Chemistry, Bowdoin College, Brunswick, ME 04011
A simple nonlinear least-squares method is described that permits direct least-squares fitting to the data of a standard curve to obtain the unknown concentration and its associated uncertainty. This procedure uses the unknown concentration as a parameter of the fit, so that it and its uncertainty are obtained immediately, bypassing the need to compute a propagation of interdependent uncertainties. Examples of the procedure, as implemented on Excel, are given for a standard additions analysis and for an analysis based on a standard calibration curve.
Supplement
A detailed mathematical presentation of the equivalence of error in standard additions using the nonlinear fit y = m(x - xsa) is available.
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