The Chemical EducatorISSN: 1430-4171 (electronic version) Abstract Volume 7
Issue 2 (2002) pp 265-269 Teaching Chemometrics with a Bioprocess: Analytical Methods Comparison Using Bivariate Linear RegressionVanina 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‡ 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/ s00897020596bIssue date: October
1, 2002 |