6 EC
Semester 1, period 2
5254MASP6Y
The course covers basic Principles of Mass Spectrometry (MS) and a selection of applications of MS in various fields including life sciences, environmental sciences, forensics and organic chemistry.
By doing the course you will be able to understanding and identify various functions of a mass spectrometer, including with concepts of weighing molecules, charge and charge states, isotopes, resolution and generation and interpretation of spectra. Furthermore, you will learn and be able to explain different modes of molecular ionization (e.g. ESI and MALDI), as well as several methods for ion fragmentation (e.g. CID). Important information on mass analysers and mass filters are explained and examples are discussed for you to demonstrate how these give rise to various scanning modes and hybrid instruments.
Scanning modes will be discussed in the context of key applications in MS that should be understood and so the student repeat by designing experiments. You will also demonstrate via several assignments how data analysis is converted to meaningful information, via new MS specific data science methods.
Finally, a selection of applications will be covered throughout the course, covering organic and polymer chemistry, biological and clinical sciences, environment and biodiversity, forensic and art sciences. The student should be able to explain which instrumental MS setup is correct for specific applications.
The primary source of literature will be via lectures in the class. Additionally, by completing assignments (in tutorials) students will acquire a broader level of understanding.
Online, there are many websites and we encourage to review publicly available information in addition to the lectures and assignments. More information can also be found in one of the many available book on MS, such as Edmond de Hoffmann, Jean Charette and Vincent Stroobant, 'Mass Spectrometry Principles and Applications', John Wiley & Sons.
No Syllabus, all learning material via lectures, notes, tutorials.
Yes, via Canvas announcements.
Yes, via Canvas announcements.
Presentations, handouts and possible video recording.
Lectures and tutorials with problem solving sessions are integrated in the course.
|
Activity |
Number of hours |
|
Lectures |
14 x 2 |
|
Tutorials / discussion of |
1 x 2 4 x 4 |
|
Exam |
2 |
| Selfstudy |
116 |
This programme does not have requirements concerning attendance (TER part B).
Additional requirements for this course:
Attendance is required for all Tutorials.
Absence must be agreed upon.
| Item and weight | Details |
|
Final grade | |
|
1 (100%) Tentamen |
The written exam counts for 65% of the final grade.
There are three assignments in total:
Assignment 1 and Assignment 2 together determine 35% of the final grade.
Assignment 3 is graded as Pass / Fail and does not contribute numerically to the final grade, but a Pass is required to complete the course.
To successfully pass the course:
The exam and each graded assignment must each be ≥ 5.5.
The third assignment must be Passed.
The final grade is calculated as:
(0.65 × exam) + (0.35 × average of assignments 1 and 2).
In case of a retake, only the written exam (65%) may be redone. The assignment results remain valid.
Information about Assignments will be communicated via the digitial learning environment.
The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl
The course structure is available from the Canvas website.
Recommended prior knowledge in analytical science and technology, chemistry, biochemistry and physics at the level of a BSc Chemistry. Data science enthusiasm is a welcome benefit.