Prerequisite/Recommended prerequisite for participation in the module

Content, progress and pedagogy of the module

NMR: The physical background for NMR:

• Nuclear spin, spin in a magnetic field, CW-NMR, FT-NMR, radiofrequency pulses
• Spectral parameters: chemical shift, scalar and dipolar coupling
• Spectroscopic technique: 1D experiments with one or more pulses
• Experimental aspects: construction of NMR spectrometer, experimental NMR, signal treatment, Nuclear Magnetic Relaxation: spin-lattice or spin-spin relaxation and their dependence on molecular mobility, nuclear Overhauser effect
• 2D-NMR: Meaning of 'chemical shift labeling', magnetization transfer between spins, acquisition of the indirect dimension, homonuclear 2D-NMR (COSY, TOCSY, NOESY), heteronuclear 2D-NMR (HSQC, HMQC)
• Dynamic NMR Spectroscopy: chemical shift, lineshape analysis, 'coalescence', timescale for NMR
• Interpretation of NMR spectra: assignment of signals, structure determination of small molecules
• Selected topics of modern, applied NMR, i.e. NMR of macromolecules, 'magnetic resonance imaging' description of NMR based on quantum mechanics, metabolic profiling via NMR
• Problems: Interpretation of spectra, identification of compounds based on their spectra, collecting data on the in-house spectrometer, theoretical calculations

MS:

• History of MS development and applications within biotechnology and chemistry
• Physical concept behind MS ionization (matrix-assisted laser desorption ionization/electro-spray)
• Mass analyzer (time-of flight, quadrupol, ion-field)
• MS/MS sequencing, iondetection, reflectron
• Application of on-line chromatography (HPLC, GC, CE)
• Special applications for different MS, i.e. MALDI-TOF-MS and nano-spray followed by MS/MS for analysis of proteins
• Interpretation of spectra of organic molecules (proteins, peptides and DNA sequences, carbohydrates) and problems to support the theory behind it. 
• Introduction to mass spectrometry baed bioinformatics

Learning objectives

Knowledge

Students who complete the module 

• Should have knowledge about the theoretical background of NMR and MS, especially about how to get signals and interpretation of signals
• should have knowledge about the experimental process how NMR and MS data are collected

Skills

• should be able to interpret 1D and 2D NMR spectra which means to be able to predict a spectrum from a given structure, find an unknown structure based on a given spectrum or be able to assign NMR signals to atoms within a structure
• should be able to evaluate applications for NMR and MS for chemical/biotechnological/nanotechnological problems
• should be able to interpret MALDI MS and ESI MS spectra
• should be able to use correct concept, nomenclature, and symbols from the NMR and MS literature

Exam

Exams