- The course belongs to Chemistry and Molecular Science master program.
- The course is compulsory in the Analysis and Separation module.
- This master level course is also available to interested students from other degree programmes.
- Basic knowledge of separation techniques (gas and liquid chromatography).
- Basic knowledge of mass spectrometric techniques.
- Basic knowledge of the physical chemistry of solution-phase equilibria, especially the following aspects: acid/base theory; pH; buffers; dissociation constants.
Information will be added in due course.
Students attending this course will know:
- Needs, challenges and multi-faceted requirements for determination of metals across the scientific disciplines.
- Crucial role of sampling and sample preparation in the workflow of analytical sciences.
- Basic aspects of sampling theory, types of sampling errors, and countermeasures.
- Potential sources of sample contamination/sample loss and countermeasures, and specific requirements with respect to materials, reagents and techniques.
- Sample decomposition and digestion techniques in (trace) metal analysis.
- Strategies for sample preparation techniques, including protocols for matrix removal, selective enrichment and separation of metals and metal species.
- Physical principles and instrumentational and application-related aspects of modern determination methods of metals (AAS, OES, ICP-MS).
- X-Ray based metal determination techniques.
- Microanalytical techniques for metal profiling with high spatial resolution.
- Chromatographic separation techniques applicable to metal analysis.
- Challenges and application of metal speciation analysis.
First/second year of master studies.
Autumn term, Period I
This course aims at giving students useful insights into the state-of-the-art and the current challenges encountered in metal analysis across the scientific disciplines. The lecture will cover in a logical order all crucial steps involved in metal determination, starting out with the important aspects of sampling and associated sampling errors; the possible sources of sample contamination and sample loss; and the specific requirements concerning materials, reagents and operational techniques employed to sample processing. Then, state-of-the-art methods for efficient sample decomposition and digestion techniques for (trace) metal analysis will be discussed. This will be followed by an overview of sample preparation techniques especially well-suited for matrix removal and selective enrichment of metal species. Next, the physical principles and practical aspects of the most frequently employed instrumental techniques for metal analysis (i.e., various implementations of AAS, OES, and ICP-MS) will be discussed in detail. Also, the most important X-Ray-based metal determination techniques, especially those applicable to high-resolution micro-analytical metal profiling in inorganic and biological matrices, will be surveyed. Finally, chromatographic and electrophoretic separation techniques applicable to metal analysis will be discussed, with special emphasis being placed to their application in the field metal speciation analysis.
Information will be provided in due course.
- The course will include student group seminars on topic-relevant research papers from the recent literature provided by the teacher. In this exercise, a group of students will prepare and give a presentation on the selected paper, while another group of students will be assigned to engage the presenters in a critical discussion. This exercise is an integral part of the lecture course and contributes to the overall credits achievable.
- Possibly, excursions will be made to certain labs at the campus for at-site demonstration/discussion of instrumentation and/or techniques.
- Written exam (accounting for 75% of total credit).
- Student group seminar presentation & discussion exercise (accounting for 25% of total credit).
- Grading scale from 0-5, with 5 being the top grading and 0 being failed.
Contact teaching. Note that regular attendance of the lecture course (>80%) is strongly encouraged and expected.