SubjectsSubjects(version: 855)
Course, academic year 2019/2020
  
Interpretation of chromatographic and spectrometric data - M323017
Title: Interpretace chromatografických a hmotnostně-spektrometrických dat
Guaranteed by: Department of Food Analysis and Nutrition (323)
Actual: from 2019
Semester: winter
Points: winter s.:4
E-Credits: winter s.:4
Examination process: winter s.:
Hours per week, examination: winter s.:3/0 Ex [hours/week]
Capacity: unlimited / unknown (unknown)
Min. number of students: unlimited
Language: Czech
Teaching methods: full-time
Level:  
For type: Master's (post-Bachelor)
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Lacina Ondřej Ing. Ph.D.
Stránská Milena doc. Ing. Ph.D.
Interchangeability : N323047
This subject contains the following additional online materials
Annotation -
Last update: Lacina Ondřej Ing. Ph.D. (27.01.2018)
The subject is focused on the analytical procedures employing chromatographic and mass spectrometric techniques for the analysis of organic compounds in complex matrices. The main discussed applications are food quality and safety, environmental and forensic analysis. The following topics are discussed: (i) connection of chromatographic and mass-spectrometric techniques; (ii) interpretation of mass spectra; (iii) software for analyte identification and data processing; (iv) targeted screening in food and analysis; (v) techniques for the quantification of analytes and their confirmation; (vi) statistical methods for the data processing and interpretation (multivariate analysis).
Aim of the course -
Last update: Lacina Ondřej Ing. Ph.D. (27.01.2018)

Students will be able to:

  • Choose right separation technique (GC or LC) in combination with particular type of mass analyser for different analytical tasks. They will understand the basic characteristics of different ionization techniques and mass spectrometers.
  • Analyse mass spectrum, find the molecular ion and analyse isotopic profile, calculate formula of simple moleule from an isotopic profile and calulate a number of double-bonds.
  • Qualitatively analyse LC-MS and GC-MS data, apply correct smoothing algorithms, spectral deconvolution, to use mass spectra libraries and retention indexes for the identification of analytes.
  • Quantify obtained data, confirm results, use different calibration approaches (external calibration cuve, method of standard addition, internal standards, isotopic dilution) in LC-MS and GC-MS.
  • Apply different chemometric tools for the data structure and get the maximum of information from recorded data.

Literature -
Last update: Lacina Ondřej Ing. Ph.D. (28.01.2018)

Z: Picó Y.: Food Toxicants Analysis, Elsevier, 2007, ISBN: 978-0-444-52843-8.

Z: Otleş S.: Handbook of Food Analysis Instruments, CRC, 2008, ISBN: 9781420045666.

Z: Smith R.M., Busch K.L.: Understanding Mass Spectra, Wiley, 1999 ISBN: 0-471-29704-6.

Z: de Hoffmann E., Stroobant V.: Mass Spectrometry - Principles and Applications, Wiley, 2002 ISBN: 9780471485667.

Z: Kaliszan R.: Structure and Retention in Chromatography: A Chemometric Approach (Chromatography: Principles & Practice Series), CRC, 1997 ISBN: 9789057020285.

D: Berrueta L.A., Alonso-Salces R.M., Héberger K.: Supervised pattern recognition in food analysis. Journal of Chromatography A, 1158 (2007) 196-214.

D: García-Reyes J.F., Molina-Díaz A., Fernández-Alba A.R.: Identification of Pesticide Transformation Products in Food by Liquid Chromatography/Time-of-Flight Mass Spectrometry via "Fragmentation-Degradation" Relationships. Analytical Chemistry 79 (2007) 307-321.

D: García-Reyes J.F., Hernando M.D., Molina-Díaz A., Fernández-Alba A.R.: Comprehensive screening of target, non-target and unknown pesticides in food by LC-TOF-MS. TrAC Trends in Analytical Chemistry 26 (2007) 828-841.

Z: Kind T., Tsugawa H., Cajka T., Ma Y., Lai Z., Mehta S.S., Wohlgemuth G., Barupal D.K., Showalter M.R., Arita M., Fiehn O.: Identification of small molecules using accurate mass MS/MS search. Mass Spec Rev. 2017;9999:1–20.

D: Kind T., Fiehn O.: Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry. BMC Bioinformatics 2007, 8:105 doi:10.1186/1471-2105-8-105.

Learning resources -
Last update: Lacina Ondřej Ing. Ph.D. (28.01.2018)

http://www.chem.arizona.edu/massspec/

http://www.ionsource.com/tutorial/spectut/spec1.htm

http://www.chemguide.co.uk/analysis/masspecmenu.html

http://webbook.nist.gov/chemistry/

http://www.chemspider.com/

http://www.massbank.jp/

http://metlin.scripps.edu/

http://fiehnlab.ucdavis.edu/

http://ec.europa.eu/food/plant/pesticides/eu-pesticides-database/public/?event=homepage&language=EN

Requirements to the exam -
Last update: Vlčková Martina Ing. (30.01.2018)

Within the extent of the syllabus.

Syllabus -
Last update: Lacina Ondřej Ing. Ph.D. (27.01.2018)

1. General requirements on quality of chromatographic and mass-spectrometric data, definition of basic concepts.

2. Connection of gas chromatography and mass spectrometry, ionization techniques, conventional detectors.

3. Connection of liquid chromatography and mass spectrometry, ionization techniques, conventional detectors.

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

5. Interpretation of GC-MS spectra.

6. Interpretation of LC-MS spectra.

7. Mass spectrometry in food analysis.

8. Spectral libraries, retention indexes.

9. Spectral deconvolution, Software tools for an analyte identification/interpretation.

10. Application of targeted screening.

11. Quantification techniques.

12. Confirmation criteria in mass spectrometry.

13. Statistical methods for multivariate data analysis.

14. Software for automated data processing.

Entry requirements -
Last update: Pulkrabová Jana doc. Ing. Ph.D. (30.01.2018)

Analytical chemistry, Organic Chemistry

Registration requirements -
Last update: Pulkrabová Jana doc. Ing. Ph.D. (30.01.2018)

Analytical chemistry, Organic Chemistry

Course completion requirements -
Last update: Lacina Ondřej Ing. Ph.D. (28.01.2018)

Student has to elaborate tasks assigned during lessons.

The subject is finished by an exam.

Teaching methods
Activity Credits Hours
Konzultace s vyučujícími 0,5 14
Účast na přednáškách 1,5 42
Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi 1 28
Příprava na zkoušku a její absolvování 1 28
4 / 4 112 / 112
Coursework assessment
Form Significance
Regular attendance 25
Examination test 75

 
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