SubjectsSubjects(version: 948)
Course, academic year 2023/2024
  
Strategies of processing of chromatographic and mass spectrometric data - AP323006
Title: Strategies of processing of chromatographic and mass spectrometric data
Guaranteed by: Department of Food Analysis and Nutrition (323)
Faculty: Faculty of Food and Biochemical Technology
Actual: from 2023 to 2023
Semester: winter
Points: winter s.:0
E-Credits: winter s.:0
Examination process: winter s.:
Hours per week, examination: winter s.:3/0, other [HT]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
Language: English
Teaching methods: full-time
Teaching methods: full-time
Level:  
For type: doctoral
Note: course is intended for doctoral students only
can be fulfilled in the future
Guarantor: Stránská Milena doc. Ing. Ph.D.
Interchangeability : P323006
Annotation -
Last update: Pátková Vlasta (15.11.2018)
The aim of the course is to gain knowledge necessary for interpretation of data obtained by the analytical procedures, based on chromatographic and mass spectrometric principles, which are used for determination of different components of food. The following thematic areas are presented: (i) various chromatographic techniques hyphenated with different mass spectrometric approaches; (ii) interpretation of mass spectra; (iii) software for the identification of analytes and data evaluation; (iv) realization of non-target screening in food analysis; (v) quantification methods and techniques; confirmation; (vi) statistical methods for data processing (multivariate analysis).
Aim of the course -
Last update: Pátková Vlasta (15.11.2018)

Students will understand the principles of modern separation and detection techniques based on high-resolution gas and liquid chromatography with different types of mass spectrometric detectors. They will get the knowledge of mass spectra interpretation, and learn about different softwares used for analytes identification and quantification. They will be able to implement target analyzes and non-target screening, taking into account available analytical instrumentation, and will have the knowledge necessary to properly evaluate and interpret the measured data.

Literature -
Last update: Pátková Vlasta (15.11.2018)

R: Semih Ötles, Handbook of FOOD ANALYSIS INSTRUMENTS, CRC Press is an imprint of the Taylor & Francis Group, ISBN 978-1-4200-4566-6

R: Y. Picó, Food Toxicants Analysis, Techniques, Strategies and Developments, ISBN: 9780444528438

Learning resources -
Last update: Pátková Vlasta (15.11.2018)

https://massbank.eu/MassBank/

https://www.mzcloud.org/

https://chemdata.nist.gov/

www.bio-rad.com/en-cn/product/mass-spectral-databases

Teaching methods -
Last update: Pátková Vlasta (15.11.2018)

Lectures

Requirements to the exam -
Last update: Pátková Vlasta (15.11.2018)

None.

Syllabus -
Last update: Pátková Vlasta (15.11.2018)

1. General requirements for the quality of data generated by chromatographic and mass spectrometric techniques; definition of basic concepts.

2. Gas chromatography coupled with mass spectrometry, ionization techniques in GC-MS, conventional detectors.

3. Liquid chromatography coupled with mass spectrometry, ionization techniques, conventional detectors.

4. Mass spectrometry (MS), types of mass spectrometers, acquisition modes.

5. Interpretation of GC-MS mass spectra.

6. Interpretation of LC-MS mass spectra.

7. Mass spectrometry data in food analysis.

8. Library spectra, retention indices.

9. Spectral deconvolution, software for identifying / interpreting analytes.

10. Application of non-target screening in food analysis.

11. Overview and application of different quantification techniques.

12. Criteria for confirmation in mass spectrometry.

13. Significant statistical methods for data processing.

14. Software for automatic data processing.

Entry requirements -
Last update: Pátková Vlasta (15.11.2018)

None.

Registration requirements -
Last update: Pátková Vlasta (15.11.2018)

None

Course completion requirements -
Last update: Pátková Vlasta (15.11.2018)

oral exam, passing the test

 
VŠCHT Praha