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580012 VU Introduction to method development and validation for LCMS/MS qualitative and quantitative analysis (2021W)
1.00 ECTS (1.00 SWS), SPL 58 - Doktoratsstudium Pharmazie, Ernährungswissenschaften und Sportwissensch
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from We 15.09.2021 00:01 to Tu 12.10.2021 18:00
- Deregistration possible until Th 14.10.2021 12:00
Details
Language: German
Lecturers
Classes
Location: Seminar room 2D404 - UZ2
-Wearing a FFP2 face mask is mandatory!
- 2.5G Regulation : On-site participation only when tested, vaccinated or if you have recovered from an infection.
22.10.2021: 09.15h - 10.45h (2 x 45 min)
05.11.2021: 09.15h - 10.45h (2 x 45 min)
LAB Day I: Dates to be arranged based on students needs and schedule on first lecture (5 x 45 min )
LAB Day II: Dates to be arranged based on students needs and schedule on first lecture (5 x 45 min )
Information
Aims, contents and method of the course
This course endows an introduction to the crucial notions and approaches in the method development and validation for LC–MSMS qualitative and quantitative analysis. Prominence will be shed on development of efficient, straight forward and universal methods used in common LC-MS Analysis. The aim of the course is to coach the students how to develop efficient LC methods, couple them to MS methods, understand, optimize and tune ESI source parameters. The course addresses various problems confronted when perusing studies/carrier in the field of MS oriented analytical chemistry. The course includes case studies in the fields of LC-MS analysis and small molecules analyses (OMICS).
Assessment and permitted materials
• Understand, optimize and tune LC parameters
• Understand, optimize and tune ESI source parameters
• Understand, optimize and tune MS experiments parameters
• Develop an outline of the key procedures and tools that are used in MS data analysis
• Be capable of developing at least: one untargeted experiment (in omics oriented fashion) and one targeted experiment (in 3Q absolute quantification fashion)
• Understand, optimize and tune ESI source parameters
• Understand, optimize and tune MS experiments parameters
• Develop an outline of the key procedures and tools that are used in MS data analysis
• Be capable of developing at least: one untargeted experiment (in omics oriented fashion) and one targeted experiment (in 3Q absolute quantification fashion)
Minimum requirements and assessment criteria
• 322063 VU Analytical Chemistry in Natural Product Research - M14 “Recommended”
• Laptop
• Laptop
Examination topics
Grade will be given based on three aspects:
1. Final evaluation based on self-developed methods
2. Lab assignments
1. Final evaluation based on self-developed methods
2. Lab assignments
Reading list
Association in the course directory
Last modified: We 13.10.2021 16:30