Separation Methods in Chemical Analysis
| Title | ΜΕΘΟΔΟΙ ΔΙΑΧΩΡΙΣΜΟΥ ΣΤΗ ΧΗΜΙΚΗ ΑΝΑΛΥΣΗ / Separation Methods in Chemical Analysis |
| Code | ΕΧΥ455 |
| Faculty | Sciences |
| School | Chemistry |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter |
| Common | No |
| Status | Active |
| Course ID | 40001097 |
| Academic Year | 2017 – 2018 |
| Class Period | Winter |
| Faculty Instructors | |
| Class ID | 600101472
|
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600101472
Learning Outcomes
The students will get familiar with separation analytical techniques and they will be informed on the use of the instruments, the applications, the advantages and the disadvantags of each technique. They will be qualified on the sample preparation as well as on the method development.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Work in teams
- Respect natural environment
- Advance free, creative and causative thinking
Course Content (Syllabus)
Theoretical aspects of separation techniques. Sample preparation techniques. Preconcentration. Solid phase extraction. Supercritical fluid extraction. High Pressure Liquid Chromatography. Capillary electrophoresis. Ion chromatography. Gas chromatography. Hyphenated techniques GC-MS, LC-MS, preparative chromatography, chiral chromatography. Column switching techniques. Applications of separation techniques. Troubleshooting in HPLC. Principles, errors and interferences. Analytical method validation. Real sample analysis. Determination of caffeine, theobromine, theophylline, mefenamic acid, vitamins, paracetamol, in pharmaceuticals and biological samples, after solid phase extraction. Determination of inorganic ions by ion chromatography. Calculation of chromatographic parameters.
Educational Material Types
- Slide presentations
- Multimedia
- Book
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | |||||
| Laboratory Work | |||||
| Total |
Student Assessment
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Exam with Short Answer Questions (Summative)
- Written Exam with Extended Answer Questions (Summative)
- Written Assignment (Summative)
- Written Exam with Problem Solving (Summative)
Last Update
08-10-2015
