Abstract
This perspective highlights the importance of examining the signal transformation mechanism before deciding to plot an analytical response against an appropriate form of concentration. Although sound in mathematical form and unprecedentedly successful in previous studies, the widely used linear and logarithmic fitting still have significant risks in concentration evaluation. Given the working principle of calibration curves, i.e., utilizing a limited number of experimental data points to predict the full-scale unknown data points, a reliable fitting should follow the signal transformation mechanism rather than merely the data statistics.
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