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This subject is focused on the interpretation of chromatographic and mass spectrometric data generated within analysis of various food components. The following topics are discussed: (i) connection of chromatographic and mass-spectrometric techniques; (ii) interpretation of mass spectra; (iii) software tools for analyte identification and data processing; (iv) non-targeted screening in food analysis; (v) techniques for the quantification of analytes and confirmation of analytes; (vi) statistical methods for the data processing and interpretation (multivariate analysis).
Last update: LACINAO (29.03.2014)
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Students will be able to:
Last update: LACINAO (29.03.2014)
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Pradip K. Ghosh: Introduction to Protein Mass Spectrometry, 2015, ISBN: 978-0-12-802102-6, Elsevier
Mike S. Lee: Mass Spectrometry Handbook, 2012, ISBN:9780470536735, Wiley
Vitha, MF: Chromatography - Principles and Instrumentation, 2016, ISBN: 9781119270881, Wiley
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. Last update: Stránská Milena (15.11.2022)
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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 non-targeted screening in food analysis. 11. Quantification techniques. 12. Confirmation criteria in mass spectrometry. 13. Statistical methods for data processing. 14. Software for automated data processing. Last update: LACINAO (30.03.2014)
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No requirements Last update: LACINAO (30.03.2014)
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Written test and oral exam Last update: LACINAO (30.03.2014)
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Coursework assessment | |
Form | Significance |
Regular attendance | 20 |
Examination test | 40 |
Oral examination | 40 |