Course detail
Metrology and experimental data processing
FCH-DAO_METAcad. year: 2021/2022
Definition of metrology, its importance for environmental analysis. Development and optimization of analytical methods; repeatability of analyses.. Metrological characteristics of analytical methods; limit of detection, limit of quantification, return, traceability, robustness, control long-term stability analytical method validation and uncertainty. Standard operating procedure and quality assurance of analytical results.
Language of instruction
Mode of study
Guarantor
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
Definition of basic and advanced parameteres, (yield, limits of detection, robustness of methods, linerarity, chemical parameters, uncertainty atd.)
General and advanced schemes of inorganic analyte determination in plants and tissues
Optimization and validation of analytical metods, regulations diagrams
Stability control in tarce analysis, yield determination, types of uncertainties
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
MILLER, J. N. Statistics and chemometrics for analytical chemistry. 5th ed. Harlow: Pearson Prentice Hall, 2005, 268 s. ISBN 01-312-9192-0. (EN)
Ermer, J. and Miller, J. H. McB.: Method Validation in Pharmaceutical Analysis: a Guide to Best Prastice. Jonh Wiley & Sons, 2006, 418 s. ISBN: 978-3-527-31255-9. (EN)
HANRAHAN, G.: Environmental chemometrics: principles and modern application. CRC Press, 2009, 292 s. ISBN: 1420067966. (EN)
CHAN, Ch. Ch., LAM, H., ZHANG, X-M. Practical approaches to method validation and essential instrument qualification. Hoboken, N.J.: Wiley, c2010, xiv, 399 p. ISBN 04-701-2194-7. (EN)
BLIESNER, D. M. Validating chromatographic methods: a practical guide. Hoboken, N.J.: Wiley, c2006, viii, 291 p. ISBN 9780471741473. (EN)
REICHENBACHER, M. Challenges in analytical quality assurance. New York: Springer, 2011, p. cm. ISBN 978-3-642-16594-8. (EN)
Recommended literature
Classification of course in study plans