Misuse of Beer-Lambert Law and other calibration curves

Calibration curves allow instrument calibration by predicting the concentration of an analyte in a sample from the reading of the instrument. This curve is constructed as the regression straight line that best fits the relationship between some known concentration standards and their respective instrument readings. An example is the Beer-Lambert Law, used to predict the concentration of a new sample from its absorbance obtained by spectrometry. The issue is that usually this methodology is misapplied. In this paper, we want to clarify this point, explaining what the error consists of and how (easily) to fix it, with the intention of ensuring that it does not continue to be reproduced in the experimental scientific work.

Automated summary

Calibration curves help determine the concentration of analytes in a sample based on instrument readings, but often this method is misapplied. This paper aims to clarify the issue, explain the error, and provide an easy fix to prevent further replication in experimental scientific work.