The course topics include: An introduction to problem solving in analytical chemistry (method development and quality assurance). Guidelines for method development in analytical chemistry will be presented and discussed with special focus on chromatographic, spectroscopic and mass spectrometric methods. Experimental design for optimizing analytical methods. Guidelines for method validation and quality control at different stages of the analytical process will be presented, discussed and tested (e.g., precision, robustness, accuracy, limit of detection, limit of quantification). The main focus will be on an experimental project involving method development, validation, quality assurance (QA), quality control (QC), Good Laboratory Practice (GLP), data processing, data evaluation and documentation and scientific writing.
The course objective is to introduce the participants to the methods and techniques used to solve problems in analytical chemistry: method development, quality assurance, quality control as well as GLP and documentation. This background is useful for all kinds of experimental analytical work including applications within plant biology, environmental- food- and soil chemistry.
Signing up:If you would like to participate please:1) Register online by clicking on "Apply" and2) Send an e-mail to Jan H. Christensen ( jch@plen.ku.dk ) stating your motivations (max 10 lines) and which previous experience you have had with sample preparation, chromatography and mass spectrometry (max 5 lines)
Lectures: The lectures will present the general theory for problem oriented analytical chemistry, experimental design, method development, quality assurance, method validation and scientific writing.
Theoretical and minor laboratory exercises: these will train the students to carry out QA/QC and to perform optimize analytical methods based on theory. Theoretical exercises and minor laboratory exercises are performed in groups of 2 to 4 students.
Laboratory project: The Laboratory projects represent the heart of the course. Here, the participants train aspects of method development, quality assurance and control as well as GLP and documentation for analytical work. The laboratory exercise comprises one project performed in groups of 2-4 students, the subject of which could be an experimental study related to the participants own research.
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UCPH discloses non-sensitive personal data to course leader/speakers, if any. In addition, we will disclose non-sensitive personal data to the other participants in the course. Non-sensitive personal data includes names, job positions, institution names & addresses, telephone numbers and e-mail addresses.
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