Chemical Control of Quality
0
2024-2025
01007137
Chemistry
Portuguese
Face-to-face
SEMESTRIAL
6.0
Elective
1st Cycle Studies
Recommended Prerequisites
Analytical Chemistry I and II.
Teaching Methods
This course involves a computational and laboratory component to learning more specific in the area of chemical analysis. The student will make the discussion and presentation of the work carried out.
Learning Outcomes
This course aims the achievement of a set of mini-projects in the area of Chemical Quality Control, trying to reconcile a experimental aspect of chemical analysis methods with an appropriate statistical treatment of analytic results.
Work Placement(s)
NoSyllabus
1. Chemical Quantification and statistical treatment of data:
- experimental errors and their impact (accuracy and precision)
- calibration and quantification (robust parametric estimates)
- sources of variability and their quantification (ANOVA)
- metrology - the combined uncertainty and expanded uncertainty
2. Determination of calcium content in milk by atomic absorption spectrophotometry. Calibration, limit of detection, characterization of analytical response and estimation of uncertainties.
3. Analysis of total iron content in drinking water by molecular spectrophotometry using two different methods. Comparison of the methods and their results.
4. Determination of carbonate and bicarbonate in a solid mixture using two different methods: acid - base volumetry with indicators and potentiometry with a glass electrode. Statistical analysis of the results. Comparison of the results obtained in the two methods.
Head Lecturer(s)
Jorge Luís Gabriel Ferreira da Silva Costa Pereira
Assessment Methods
Assessment
Research work: 20.0%
Project: 20.0%
Synthesis work: 25.0%
Mini Tests: 35.0%
Bibliography
1. J.C. Miller, J.N. Miller, “Statistics for Analytical Chemistry”, 3th. Ed., Prentice Hall, Harlow, 1993.
2. J.N. Miller, J.C. Miller, “Statistics and Chemometrics for Analytical Chemistry”, 4th. Ed., Prentice Hall, Harlow, 2001.
3. A.W. Hounslow, “Water Quality Data: Analysis and Interpretation”, Lewis, New York, 1995.
4. D. A. Skoog, F. J. Holler, T. A. Nieman, Princípios de Análise Instrumental, Bookman, São Paulo, 2002
5. D.C. Harris, Quantitative Chemical Analysis, W. H. Freeman, Nova York, 2003
6. "Vogel - Análise Química Quantitativa", J. Mendham, R.C. Denney, J.D. Barnes, M.J. Thomas, 6ª Ed., Livros Técnicos e Científicos Editora SA, Rio de Janeiro, 2002.