Misuse of Beer-Lambert Law and other calibration curves

被引:12
|
作者
Delgado, Rosario [1 ]
机构
[1] Univ Autonoma Barcelona, Dept Math, Campus UAB, Cerdanyola Del Valles 08193, Spain
来源
ROYAL SOCIETY OPEN SCIENCE | 2022年 / 9卷 / 02期
关键词
calibration curve; Beer-Lambert Law; spectrometry; linear regression; concentration; absorbance; INVERSE REGRESSION;
D O I
10.1098/rsos.211103
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
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页数:21
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