KE530: Quantitative Analytical Chemistry

Students taking the course are expected to:

• Have completed the courses KE501 and BMB544, FY527 and MM555 and KE528.
• Have followed or simultaneously follow KE537 and KE504.

• Chromatographic concepts (retention, selectivity, resolution, efficiency, bandwidth) and principles
• Atomic emission and atomic absorption principles, as well as Lambert-Beer's law
• Quantification principles
• Method validation including correctness, bias, recovery, relative standard deviation, repeatability/reproducibility, linearity, limits of detection and quantification (LOD and LOQ)
• Important statistical concepts and methods, including statistical probability distributions, estimates and confidence intervals, hypothesis testing, analysis of variance and linear regression

The learning objective of the course is that the student demonstrates the ability to:

• be able to critically assess and apply analytical instrumental methods to solve qualitative and quantitative analytical pharmaceutical problems and to take into account official monographs (Ph.Eur.) and guidelines (ICH, GLP) as well as scientific literature (competences),
• be able to perform and optimize analytical methods, perform quantitative determination (calibration, standards), calculate validation parameters including precision, accuracy, selectivity, detection limit, quantification limit, separation and column parameters, use statistical methods and report test results in an easy-to-understand, precise and correct language (skills) and
• know central concepts and principles of the analytical process (validation, statistical analysis methods), spectroscopic methods incl. chromatographic separation methods (HPLC, TLC, GC, SEC, AAS) as well as coupling separation methods with general detection methods. Make a critical assessment of a given analysis technique with a focus on optimization and validation
• interpret results by using statistical analyzes and tests
• carry out analyzes by using HPLC and GC
• work reasonably and safely in an analytical chemistry laboratory

The following main topics are contained in the course: 

• General chromatographic concepts as well as method development, optimization and validation. Influence of the mobile and stationary phases, as well as column selection
• chromatographic separation methods (HPLC, TLC, GC, SEC, AAS)
• Quantification principles
• Statistical distribution functions and probability
• Hypothesis testing of one or two variables (t-test and paired t-test)
• One-way and multi-way analysis of variance
• Linear regression analysis
• Experimental trial design
• Method validation and statistical analyses
• Uncertainty budgets
• GLP (Good Laboratory Practice)
• Definition of national and international standards
• Definition of accreditation and certification
• Definition of GMP (Good Manufacturing Practice), GLP (Good Laboratory Practice) and other Good Practices

At the faculty of science, teaching is organized after the three-phase model ie. intro, training and study phase.

• Intro phase: Lectures; Analytical Chemistry: 20 lessons and Applied Statistics: 20 lessons
• Training phase: 44 tutorials and laboratory: 12 lessons
• Expected study phase: Report writing in connection with the laboratory exercises as well as reading the syllabus