Spectroscopic Methods in Chemical Analysis

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The general aim of the lectures will be the familiarizing the student with the basic applications of spectroscopic methods for the study of the structure of organic compounds and their identification. Students gain knowledge of the concepts, mechanisms and technical solutions used in the spectroscopic method e.g. IR, UV, MS and 1H and 13C NMR.

The students will be familiarizing with the general rules and method of spectra recording the methodology of measurement, sample preparation and as well as with the interpretation of IR, UV, MS and NMR spectra.

Student will pick up the fundamental information about the IR, NMR, UV-VIS and MS spectroscopy. Exact emphasis will be placed on understanding the correlation between structure of the chemical compounds and the information obtained using from chased techniques (IR, NMR, UV-VIS, MS and NHC). At the final stage of the classes, the student have to independently interpret the spectra of simple organic compounds as well as determine the structure of the unknown compounds based on registered spectra/data.

J. P. Eberhart, Structural and chemical analysis of materials

R. Nyquist, Interpreting Infrared, Raman, and NMR Spectra [Vols 1 and 2] - (Elsevier, 2001)

R. Silverstein, F.Webster, D. Kiemle, Spectrometric Identification of Organic Compounds

NMR - From Spectra to Structures - An Experimental Approach - 2nd Edition - 2007

R. Nyquist, Interpreting Infrared, Raman, and NMR Spectra [Vols 1 and 2] - (Elsevier, 2001)

NMR - From Spectra to Structures - An Experimental Approach - 2nd Edition – 2007

"Organic Spectroscopy" - online lectures by Prof. Jamesa S. Nowicka (Department of Chemistry, University of California)

https://webspectra.chem.ucla.edu//

https://www.nmrdb.org/about/

Knows and understands modern measurement techniques used in chemical analysis, explains the theoretical basis of the operation of measuring equipment used in chemical research;

Is able to process research results, applies statistical methods and IT techniques to analyse experimental data and performs a critical analysis and indicates measurement errors, justifies the purpose of the research and its importance against the background of similar research;

Is ready to work in a team, assuming various roles in it, verifies and respects the opinion of other team members, is responsible for the safety of own work and others.

The student gets credit when he obtains 51% of the points from the test I and II.

Forms of crediting the lecture: written test I and test II