|
Lecturer(s)
|
-
Fischer Jan, doc. Ing. CSc.
|
|
Course content
|
Application of modern techniques and procedures in the treatment and analysis of a wide range of samples using current state-of-the-art instrumentation. Modern techniques and trends in sample processing for inorganic and organic trace analysis (extraction, digestion, automation of procedures). Instrumental trends in inorganic trace analysis, separation and spectral techniques for organic trace analysis and their coupling (LC,GC/MS, LC,GC/FTIR, LC/NMR, 2-D techniques, quality of output information), modern trends in electromigration methods (CZE/MS, stacking, sweeping, chips). Issues of multicomponent and multidimensional analysis. Statistical treatment of results.
|
|
Learning activities and teaching methods
|
|
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book)
|
|
Learning outcomes
|
The course is designed to introduce the doctoral student to the procedures of treatment and analysis of a wide range of samples using the current level of instrumental technology for sample processing and subsequent analysis. Emphasis is placed on modern sample processing procedures and trends for inorganic and organic trace analysis, instrumental trends in inorganic trace analysis, separation and spectral techniques for organic trace analysis and their coupling, modern trends in electromigration methods. Attention is also paid to the interpretation and statistical treatment of results. The aim of the course is to gain a comprehensive view of the development and optimization of methods for sample processing and analysis in trace analysis.
By completing the course, the student will further deepen and broaden his/her knowledge of the application of modern methods for the treatment and analysis of a wide range of samples using current state-of-the-art instrumentation. The student will gain a comprehensive view of the development and optimization of methods for sample handling and analysis in trace analysis.
|
|
Prerequisites
|
Knowledge of selected analytical methods (separation methods, extraction procedures) at MSc level. Basic knowledge of statistical treatment of results and their interpratation. Ability to take a comprehensive view of a problem and ability to use acquired knowledge to successfully solve the problem.
|
|
Assessment methods and criteria
|
Oral examination
The level of knowledge is based on the level of the lecture material or self-study of the assigned literature.
|
|
Recommended literature
|
|