Statistics for analytical measurements. Analytical Quality Criteria and performance tests. Signaling processing. Sampling and sample pretreatment for analysis. Electroanalysis. Immunochemical testing. Automation, miniaturization and simplification of the analytical processes. New nanomaterials for analytical applications. Selected laboratory experiments on the Course topics.
The course supplies to the student thorough knowledge of the theory and treatment of the data obtained using the modern analytical techniques. Selected laboratory practices on the course topics will hold.
The student will know the equipment available to analysts, the errors inherent in all results and statistical ways of handling those results and their errors.
Prerequisites
Courses required: none
Teaching Methods
Lectures: 40 hours
Laboratory activity: 12 hours
Type of Assessment
Oral examination
Course program
Application of statistical methods in analytical chemistry. Validation and quality assurance processes. Sampling and sample preparation. Electroanalytical methods. Anodic and cathodic stripping voltammetry for trace analysis. Fundamentals of separation tecniques. Electrophoresis. Capillary electrophoresis. Biological molecules detections. Immunochemistry. Theory of immunology. Automation, miniaturization and simplification of the analytical processes. Microfluidic system, Lab on chip. Selected laboratory experiments on the course topics.