The Chemical Educator

, Volume 7, Issue 5, pp 265–269 | Cite as

Teaching Chemometrics with a Bioprocess: Analytical Methods Comparison Using Bivariate Linear Regression

  • Vanina G. Franco
  • Victor E. Mantovani
  • Hector C. GoicoecheaEmail author
  • Alejandro C. OlivieriEmail author
Laboratories and Demonstrations


We present an advanced analytical chemistry laboratory experiment involving chemometrics. Students perform a comparison of two analytical methods by checking several analyte concentrations within a certain range by using least-squares linear regression. They obtain statistical information such as the presence of constant and proportional biases. The exercise is based on the determination of glucose levels using two colorimetric methods (enzymatic and Somogyi—Nelson) in a very simple batch system formed by an infusion of tea, glucose, and a combination of a yeast (Schizosacaromyces pombe) and a bacteria (Acetobacter xylimun), usually named Kombucha. Several samples are collected during a week of laboratory work, and measurements are performed in a subsequent four-hour laboratory class. Although commercial computer software exists for a variety of statistical applications, specific programs for the application of statistics to analytical chemistry are not prevalent. In order to solve this particular problem, a Matlab 5.3 routine is presented.


Statistical Information Method Comparison Colorimetric Method Commercial Computer Software Specific Program 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag New York, Inc. 2002

Authors and Affiliations

  1. 1.Cátedra de Química Analitica IFacultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad UniversitariaSanta FeArgentina
  2. 2.Departamento de Química AnaliticaFacultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de RosarioRosarioArgentina

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