CH2MP_2W3S Modern Methods of Chemical Research

Faculty of Education
Spring 2009
Extent and Intensity
0/2/0. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Luděk Jančář, CSc. (seminar tutor)
Guaranteed by
Mgr. Jiří Šibor, Ph.D.
Department of Physics, Chemistry and Vocational Education – Faculty of Education
Contact Person: Helena Pelcová
Prerequisites
Knowledge of mathematics and analytical chemistry of university degree.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
Main objectives can be summarised as follows:
to introduce into modern methods of chemical analysis and evaluation of chemical data using the newest instrumentation, computer technics and software.
Syllabus
  • 1. Historical overview of instrumental methods.
  • 2. Optical methods - basic terms and classification.
  • 3. Atomic absorption spectrometry.
  • 4. Spectrophotometry.
  • 5. Atomic emission spectrometry, ICP.
  • 6. Photoluminiscence methods.
  • 7. Separation methods - basic terms and classification.
  • 8. Extraction.
  • 9. Liquid chromatography.
  • 10. Gass chromatography.
  • 11. Electrochemical methods - basic terms and classification.
  • 12. Potentiometry, polarography, conductometry.
  • 13. Electrophoresis, isotachophoresis, capillary electrophoresis and isotachophoresis.
  • 14. Mass spectrometry, MALDI-TOF.
  • 15. Tandem methods.
  • 16. Chemometrics, its classification and the place in modern chemistry.
  • 17. Errors and their expression, correctness, accuracy, reproducibility.
  • 18. Calibration dependences, linear regression, detection limit, determination limit.
  • 19. Standard addition method, regulary diagrams of accurance.
  • 20. Simplex method, Monte Carlo Metod and their use.
  • 21. Multicomponent analysis - basic terms.
  • 22. Classical multicomponent analysis.
  • 23. Modern methods of multicomponent analysis, calibration, prediction.
  • 24. Multiple linear regression, Principal component regression, PLS, Kalman filter.
  • 25. The use of multicomponent analysis in chemistry.
  • 26. Neural networks and their use in chemistry.
Literature
  • Skoog D.A., West D.M., Holler F.J. and Crouch S.R.: Analytical Chemistry, seventh edition, Saunders college publishing, New York 2000.
Assessment methods
Class discussion;
credit;
written test.
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
The course is taught annually.
The course is taught: every week.
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014.
  • Enrolment Statistics (Spring 2009, recent)
  • Permalink: https://is.muni.cz/course/ped/spring2009/CH2MP_2W3S