Entry requirements

Chemical Principles/Basic Chemistry, 10 credits, Organic Chemistry I, 10 credits, Inorganic Chemistry I, 10 credits, Biochemistry I 5 credits

Learning outcomes

For completion of the course the student shall be able to:

• identify and describe the steps that are included in a complete analytical procedure
• account for common sampling techniques for inorganic and organic compounds and calculate necessary sample size and number of samples in connection with sampling
• report for and use decomposition - and pretreatment techniques for inorganic and organic compounds
• report for and use analytical methods based on liquid - and gas chromatographic methods, electro-analytical methods, methods based on atomic and molecular spectrometry and mass spectroscopy and be familiar with appropriate use for these method
• explain the concept uncertainty; identify and describe different contributions to the uncertainty and calculate the combined uncertainty
• apply statistical inference in the form of confidence intervals, t-test, F-test, one-way analysis of variance and Chi-square test in chemical problems
• carry out simple linear regression with calculation of confidence intervals for slope, intercept and predictions and calculate and interpret the correlation coefficient
• calculate and present practically received analysis results in writing and use statistical methods according to above to assess and ensure the quality
• describe the principles for experimental design with more than one influencing factor and state how multivariate data can be utilised for classification and calibration
• apply the above within drugs and the manufacturing industry

Content

Analytical methods including quality assurance. Sampling and sample preparation. Chromatographic methods as GC and LC. Electroanalytical techniques (potentiometric and voltammetric techniques). Atomic spectroscopy (AAS, AES). Molecular spectroscopy (UV/Vis, NIR, fluorescence, chemiluminescence). Mass spectrometry. Applications of univariate statistics. Quality assurance in analytical work. Introduction to experimental design for modelling and optimisation. Introduction to multivariate methods for calibration and classification. Assignments with statistical treatment of results from the laboratory sessions of the course. Laboratory work: The Laboratory work enlightening atomic spectroscopy, molecular spectroscopy, potentiometry, gas chromatography and liquid chromatography . Computer exercises: Computer exercises with Excel for statistical analysis of measurement. Chemometrical applications with Minitab and Unscrambler as robustness tests, classification, multivariate calibration.

Instruction

Lectures, lessons, laboratory work and computer exercises.

Assessment

Written examination during and/or at the end of the course, equivalent 6 credits. For approval, passed laboratory course and passed assignments equivalent to 4 credits are also required . The final grade corresponds to a weighed average of the results from the written examination and the laboratory work.