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The Chemical Educator

ISSN: 1430-4171 (electronic version)

Table of Contents

Abstract Volume 7 Issue 2 (2002) pp 265-269

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

Vanina G. Franco, Victor E. Mantovani, Hector C. Goicoechea,,* and Alejandro C. Olivieri,*

Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, Santa Fe S3000 CC. 242, Argentina, hgoico@fbcb.unl.edu.ar; Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, Rosario S2002LRL, Argentina
Received April 30, 2002. Accepted August 5, 2002

Published online: 20 September 2002

Abstract. 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.

Key Words:  Laboratories and Demonstrations; analytical chemistry; biochemistry; computers

(*) Corresponding author. (E-mail: hgoico@fbcb.unl.edu.ar)

Article in PDF format (466 KB) HTML format

Supporting Materials:

Matlab routines (supporting material 1.pdf) and experimental details (supporting material 2.pdf) are contained in one zip file (138 KB) 10.1007/ s00897020596b

Issue date: October 1, 2002

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