Metrology and analytical methods validation
0600-PS-AOS-MWA
Lecture
The lectures will present the general chemical background of the measurement principles and instrumental techniques as well as theory on sampling, data processing, data analysis, quality assurance and method validation. Introduction to data processing, errors in chemical analyses, statistical analyses (including chemometrics) and data presentation, statistical analysis. Method development, evaluation, validation and QA/QC measures.
Laboratory
These exercises will train the students to carry out calculations on the data produced from different instrumental techniques including statistical analyses, reporting and QA/QC. Laboratory exercises: Compulsory laboratory exercises comprise projects which involve sampling, extraction and cleanup, methods of analysis, data processing and data evaluation. Here, the participants train the different instrumental techniques and get used to analytical work in the laboratory.
Total student workload
Number of lecture hours- 11 h
Number of laboratory classes hours- 4 h
Learning outcomes - knowledge
K1: Student knows the techniques for sampling, preparation and final analysis of environmental samples.
K2: The student knows how to set priorities necessary for the implementation of their action to solve the task.
K3: Is set to the best execution of tasks.
K4: Student can independently perform the required tasks, and if the problems have recourse to the available literature.
Learning outcomes - skills
S1: Can the correct way to apply the techniques for the collection, preparation and final analysis of environmental samples.
S2: Properly uses a small laboratory equipment.
S3: Performs independent measurements; prepare yourself preparations for analysis, can propose analytical procedures or methods.
S4: Analyzes, interprets and calculates the results obtained in the laboratory tests.
Learning outcomes - social competencies
SC1: The student knows how to set priorities necessary for the implementation of their action to solve the task.
SC2 Is set to the best execution of tasks.
SC3: Student can independently perform the required tasks, and if the problems have recourse to the available literature.
SC4: Improves analytical thinking - works with a large amount of information, he sees the relationship between the properties of environmental matrices and analytes and the choice of an appropriate method for the determination.
SC5: Focus on acquiring new knowledge.
Teaching methods
- lectures as a multimedia presentations;
- one by one and on-line consultations (distance learning);
- laboratory exercises instructions prepared based on the information giving during the lectures are useful and required at the laboratory;
- individual work with the apparatus and advanced analytical equipment under the teacher supervision;
In addition, for all students are prepared printed materials and laboratory instructions.
Prerequisites
The graduates of natural sciences and life sciences area
Course coordinators
Bibliography
1. R. Albert and W. Horwitz, Analytical Chemistry, 1997, 69, pp 789-790
2. W.J. Dixon, Ann. Math. Stat.1951, 22, p 68
3. Ch.Ch. Chan, H. Lam, Y. C. Lee, ,Analytical Method Validation and Instrument Performance Verification John Wiley & Sons, Inc. 2004
4. J.M. Green, A practical guide to analytical method validation, Analytical Chemistry, 1996, May 1, pp 305A/309A.
5. U.S. Pharmacopoeia 25, pp 2256-2259.
6. J. Vessman et al, IUPAC, Pure Appl. Chem., 2001, 73(8), pp 1381-1386.
Additional information
Additional information (registration calendar, class conductors,
localization and schedules of classes), might be available in the USOSweb system: