SubjectsSubjects(version: 963)
Course, academic year 2020/2021
  
Gas Chromatography in Analysis of Foods and Natural Products - AP323001
Title: Gas Chromatography in Analysis of Foods and Natural Products
Guaranteed by: Department of Food Analysis and Nutrition (323)
Faculty: Faculty of Food and Biochemical Technology
Actual: from 2019
Semester: both
Points: 0
E-Credits: 0
Examination process:
Hours per week, examination: 3/0, other [HT]
Capacity: winter:unknown / unknown (unknown)
summer:unknown / unknown (unknown)
Min. number of students: unlimited
State of the course: taught
Language: English
Teaching methods: full-time
Teaching methods: full-time
Level:  
Note: course is intended for doctoral students only
can be fulfilled in the future
you can enroll for the course in winter and in summer semester
Guarantor: Pulkrabová Jana prof. Ing. Ph.D.
Hajšlová Jana prof. Ing. CSc.
Maštovská Kateřina Ing. Ph.D.
Classification: Chemistry > Analytical Chemistry
Interchangeability : P323001
Examination dates   Schedule   
Annotation -
This course is focused on a demonstration of strategies of individual parameters setting within the development and implementation of gas chromatography (GC) based methods applied for evaluation of food/natural products quality, chemical safety and/or authenticity. Attention is also paid to a monitoring of various contaminant groups transfer across food chain and assessment of human exposure. Modern injection techniques, the strategy of GC column as well as relevant detector (namely mass spectrometric) selection for a particular application is introduced. Principles of both target analysis and non-target screening are subject of discussion, including interpretation of generated data, approached of their quality assurance are focused, too.
Last update: Pátková Vlasta (15.11.2018)
Aim of the course -

Extensive knowledge, supported by many concrete examples, that will be obtained within the course, will enable students to progress rapidly in their experiments based on gas chromatography, both regarding optimization and implementation of needed analytical methods and interpretation of generated data. The obtained scientific competence will also enable consistently evaluate / guarantee their quality.

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

The successful completion of an oral examination.

Last update: Pátková Vlasta (15.11.2018)
Literature -
  • Advanced Gas Chromatography¸ Progress in Agricultural, Biomedical and Industrial Applications (M. A. Mohd, editor); ISBN: 978-953-51-0298-4
  • The Troubleshooting and Maintenance Guide for Gas Chromatographers (D.Rood); ISBN-13: 978-3527313730
  • Handbook of Food Analysis Instruments(S. Otles, editor); ISBN 9781420045666
  • Handbook of Advanced Chromatography /Mass Spectrometry Techniques ‚M. Holcapek, W. C. Byrdwell, editors); ISBN: 9780128117330

scientific literatures - concrete applications, review articles at Web of Science

Last update: Pátková Vlasta (15.11.2018)
Requirements to the exam -
  • Definition of the gass chromatograophy (GC) scope, sample preparation strategy
  • GC columns, the relationship between parameters and separation efficiency
  • Sample introduction techniques and their optimization
  • Mass spectrometric (MS) and other GC detectors, optimization of their performance
  • Two dimensional GC, optimization of setting
  • Identification and quantification strategies in GC/MS, non-target screening
  • Matrix effects and possibilities of their elimination
  • Examples of pratical application - case studies

Last update: Pátková Vlasta (15.11.2018)
Syllabus -

1. Definition of the scope of advanced gas chromatography (GC)

2. Selection of GC columns for specific applications

3. The impact of various factors setting on GC resolution

4. Injection techniques in GC and their optimization

5. Mass spectrometric and other detectors in GC, optimization of setting for the particular analytical task

6. Two dimensional GC and optimization of parameters setting

7. Strategy of detection and identification in GC based methods

8. Matrix effects in GC and possibilities of their elimination

9. Examples of GC applications, case studies

Last update: Pátková Vlasta (15.11.2018)
Registration requirements -

No requirements.

Last update: Pátková Vlasta (15.11.2018)
 
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