Course: Instrumentation in Analytical Chemistry

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Course title Instrumentation in Analytical Chemistry
Course code NTI/IAC
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Lecturer(s)
  • Černík Miroslav, prof. Dr. Ing. CSc.
  • Hrabák Pavel, Mgr. Ph.D.
  • Parma Petr, Ing.
  • Řezanka Michal, doc. RNDr. Ph.D.
  • Stuchlík Martin, Ing.
  • Novotný Vít, Mgr.
Course content
Lectures: 1. Introduction to analytical chemistry, its methods and goals. 2. Matrix, sample and sampling. 3. Sample processing and pretreatment. 4. Physical principles of analytical techniques. 5. Separation techniques 1. 6. Separation techniques 2. 7. Spectroscopic methods. 8. Mass Spectrometry. 9. Nuclear magnetic resonance spectroscopy. 10. Electrochemical methods. 11. Sum parameters. 12. Autosamplers and automated sample processing. 13. Molecular methods. 14. Good laboratory practice guidelines. Tutorials: 1. Chemical calculations - concentration, specific gravity, dilutions, pH, solubility product. 2. Chemical calculations - chemical equilibrium in reactions, activity, distribution equilibrium, adsorption isotherms, Henry's law. 3. Chemical calculations - chemical kinetics, kinetic theory of gases, equations of state, phase equilibria. 4. Chemical calculations related to principles of analytical techniques - Lambert-Beer law, retardation factor, resolution, van Deemter equation, Nernst equation, conductivity of weak and strong electrolytes. 5. Test 1 - Chemical calculations. 6. Laboratory practice - GC. 7. Laboratory practice -LC and IC. 8. Laboratory practice -UV/VIS spectrophotometry and ICP-OES. 9. Laboratory practice -ICP-MS. 10. Laboratory practice - IR spectroscopy, Raman spectroscopy and NMR. 11. Adequate method selection for a given task. 12. Data evaluation and interpretation. 13. Statistical processing of data. 14. Test 2 - orientation in analytical methods, evaluation, interpretation and statistical processing of data.

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing)
  • Class attendance - 56 hours per semester
  • Preparation for exam - 49 hours per semester
  • Preparation for credit - 17 hours per semester
  • Preparation for formative assessments - 17 hours per semester
  • Home preparation for classes - 10 hours per semester
Learning outcomes
The goal of the course is to make the student familiar with the current state of affairs in analytical chemistry. That being the universal need for very sophisticated analytical instrumentation both for research and for routine commercial assays. The student will be presented an outline of all relevant analytical techniques. He will be familiarized with their principles of operation, their advantages, disadvantages and limitations and tasks that they are well suited for. A general introduction to analytical chemistry, principles of sampling and sample preparation will also be discussed. Last but not least the focus will be on the evaluation and interpretation of obtained results and the principles of good laboratory practice.
The students will be given an outline of modern analytical methods, their principles, possibilities, advantages and disadvantages. They will be familiar with the analytical procedure from being given a task to the interpretation of the results. Special emphasis will be placed on skills that will enable the student to choose the most suitable analytical method for a given task.
Prerequisites
For understanding the subject matter of the course the student must be familiar with the basics of general and physical chemistry.

Assessment methods and criteria
Written exam

Requirements for getting a credit are activity at the tutorials and successful passing of the tests. Examination is in written form.
Recommended literature
  • Ellison S.L.R. Practical statistics for the analytical scientist. Cambridge Royal Society of Chemistry, 2009.
  • Klouda P. Moderní analytické metody. Ostrava, 2003.
  • Mitra S. preparation techniques in analytical chemistry. John Wiley, 2003.
  • Settle F. Handbook of instrumental techniques for analytical chemistry. Prentice-Hall, 1997.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Mechatronics, Informatics and Interdisciplinary Studies Study plan (Version): Applied Sciences in Engineering (2016) Category: Special and interdisciplinary fields 1 Recommended year of study:1, Recommended semester: Winter