SubjectsSubjects(version: 901)
Course, academic year 2022/2023
  
Laboratory Course in Instrumental Analysis - MC230C15
Title: Praktikum z přístrojové analýzy
Czech title: Praktikum z přístrojové analýzy
Guaranteed by: Department of Analytical Chemistry (31-230)
Faculty: Faculty of Science
Actual: from 2015
Semester: summer
E-Credits: 4
Examination process: summer s.:
Hours per week, examination: summer s.:0/3 C [hours/week]
Capacity: unlimited
Min. number of students: unlimited
Virtual mobility / capacity: no
State of the course: taught
Language: Czech, English
Note: enabled for web enrollment
Guarantor: RNDr. Jana Sobotníková, Ph.D.
Opinion survey results   Examination dates   Schedule   
Annotation -
Last update: RNDr. Jana Sobotníková, Ph.D. (07.09.2021)
Students become familiar with conventional instrumental techniques of chemical analysis in this practical laboratory course. Taught analytical methods are divided into 3 basic groups: electrochemical, separation and spectrometric methods. The understanding of demonstrated principles of individual instrumental methods is emphasized. Students are led to handle with attained raw experimental data, with their statistical evaluation and also presentation of calculated results. These laboratory exercises are organized in two weeks sessions while students cooperate in small groups. Throughout the course, strict compliance with GLP and safety regulations is required. Students should be able to work with common analytical instruments independently after finishing this course. The integral part of classification is continuous control of knowledge which is necessary to perform each task, classification of protocols and assessment of laboratory work.
Literature -
Last update: RNDr. Jana Sobotníková, Ph.D. (13.01.2022)
1. Task Instructions and Safety Regulations are available for download in the SIS.

2. K. Štulík et al.: Analytical Separation Methods, Charles University in Prague, Karolinum 2004

3. Beran, P., Opekar, F., Stulik, K .: Instrumental Analytical Methods, SPN Prague 1997

4. J. Churáček et al., Analytical separation of substances, SNTL, Prague 1990

5. Zýka et al., Analytical Handbook I. and II. díl, SNTL-Alfa, Prague 1988

6. K. Eckschlager, I. Horsák, Z. Kodejš, Evaluation of analytical results and methods, SNTL, Prague 1980

7. M. Meloun, J. Militky, Statistical Processing of Experimental Data, PLUS, Prague 1994
 
Requirements to the exam -
Last update: RNDr. Jana Sobotníková, Ph.D. (13.01.2022)

Credita are awarded after completing all the prescribed tasks in the course and the submission of all properly prepared protocols within 14 days after the end of the course.

Protocols are classified according to quality (results, statistical evaluation and processing) in the range from 1 (excellent) to 4 (unsatisfactory).

To be awarded the credits, the sum of marks of the classified of protocols must not exceed the critical limit (25), which is determined at the beginning of the practical course.

Syllabus -
Last update: RNDr. Jana Sobotníková, Ph.D. (07.09.2021)

Following exercises are done:

1. Classical DC polarography
2. Karl Fischer titrations (KF)
3. Spectrophotometry - Determination of dissociation constant of an acid-base indicator
4. Determination of  Bi3+ and Cd2+ ions with AAS and K+ ion using Flame photometry
5. Gas chromatography (GC) - Qualitative and quantitative analysis
6. Determination of azodyes in a mixture using RP-HPLC method with spectrophotometric detection
7. Conductometry and conductometric titration
8. Capillary zone electrophoresis (CZE)

Entry requirements -
Last update: RNDr. Jana Sobotníková, Ph.D. (13.01.2022)

Students should have knowledge about principles of electrochemical, separation and spectrometric analytical methods. Also evaluation of raw experimental data, their statistical evaluation and presentation of calculated results are necessary input requirements for attending this course. 

Registration requirements -
Last update: RNDr. Jana Sobotníková, Ph.D. (13.01.2022)

Students should have knowledge about principles of electrochemical, separation and spectrometric analytical methods. Also evaluation of raw experimental data, their statistical evaluation and presentation of calculated results are necessary input requirements for attending this course. 

 
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