2022
DOI: 10.1098/rsos.211103
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Misuse of Beer–Lambert Law and other calibration curves

Abstract: 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 … Show more

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Cited by 12 publications
(4 citation statements)
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“…The molar absorption coefficient ( ε ) defines the characteristic behavior of materials in terms of radiation energy absorption at a particular wavelength. The molar absorption coefficient of Congo red dye was calculated by employing the Beer–Lambert law 53 in the UV-Vis range, and the details are included in the ESI text † under the “Beer–Lambert law” heading. The molar absorptivity of Congo red dye was calculated at various pH (ESI Fig.…”
Section: Resultsmentioning
confidence: 99%
“…The molar absorption coefficient ( ε ) defines the characteristic behavior of materials in terms of radiation energy absorption at a particular wavelength. The molar absorption coefficient of Congo red dye was calculated by employing the Beer–Lambert law 53 in the UV-Vis range, and the details are included in the ESI text † under the “Beer–Lambert law” heading. The molar absorptivity of Congo red dye was calculated at various pH (ESI Fig.…”
Section: Resultsmentioning
confidence: 99%
“…A linear relationship was deduced between dye concentrations and transmitted light adsorption based on the Beer-Lambert law (Delgado 2022). A spectrophotometric test on treated wastewater will require a curve of adsorption number -standard dye concentration (Mohamad Hashim et al 2015;Sham and Notley 2018) to determine dye adsorption by WS adsorbent.…”
Section: Preparation Of Calibration Curvementioning
confidence: 99%
“…Afterward, the signal(s) for the sample(s) is/are recorded, and (in the simplest case study) by replacing (in eq ) “Y” for each signal, the corresponding values of concentration “X” can be calculated. Therefore, in analytical laboratories, the final aim of the regression analysis is then to use the mathematical expression (which relates the signal and the concentration) to predict the concentration of unknown samples, i.e., to predict values for X starting from Y values (a procedure known, at times, as “inverse regression”, , which may be a confusing term, since other authors use it as the regression of X over Y , ). However, every statistician would absolutely state that this use of a regression model is completely wrong because the model described in eq (whose corresponding estimation is presented in eq ), can only be used for predicting values for the response variable (“Y”) from values of the explanatory or predictive variable (“X”).…”
Section: Introductionmentioning
confidence: 99%