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

English

Number of ECTS credits

0

Mode of study

Not applicable.

Guarantor

prof. Ing. Jiří Kučerík, Ph.D.

Department

Institute of Chemistry and Technology of Environmental Protection (ÚCHTOŽP)

Learning outcomes of the course unit

Not applicable.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course uses teaching methods in form of individual consultation. The e-learning system (LMS Moodle) is available to teachers and students.

Assesment methods and criteria linked to learning outcomes

the knowledge will be tested by the group discussion - colloguium.

Course curriculum

Definitions, nomenclature
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

Not applicable.

Aims

The aim is obtaining the knowledge on the metrology parameters related to trace analysis of componds and elements in various matrices.

Specification of controlled education, way of implementation and compensation for absences

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

GRAFEN, A.. Modern statistics for the life sciences. Oxford: Oxford University Press, 2002. ISBN 01-992-5231-9. (EN)
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 reading

Not applicable.

Classification of course in study plans

  • Programme DKAP_PCH Doctoral, 1. year of study, winter semester, compulsory-optional
  • Programme DPAP_FCH Doctoral, 1. year of study, winter semester, compulsory-optional

Type of course unit

 

Guided consultation

20 hours, compulsory

Teacher / Lecturer

prof. Ing. Jiří Kučerík, Ph.D.