Applications of Spectroscopy: Quantitative Analysis and Characterisation of Compounds
|Course code CHEM3570||Units 10||Level 3000||Faculty of Science and Information TechnologySchool of Environmental and Life Sciences|
This course focuses on two fundamental types of information that can be gleaned from spectroscopic data: 1) quantitative analysis (Part A) which deals with the extraction of quantitative information about species' concentration in chemical processes; and, 2.) characterisation or structure elucidation (Part B) of chemical compounds. Students will learn how to use the powerful tools available in Excel (Microsoft), including LINEST, SOLVER and matrix operations to extract quantitative chemical information from complex spectra, which can subsequently be used for industrial process control and analysis. In Part B, the focus is on the application of modern one- and two-dimensional Fourier transform nuclear magnetic resonance (NMR) spectroscopy, in conjunction with other spectrometric methods, in elucidating molecular structures.
This course has compulsory course components and students must:
1. must participate in and submit laboratory reports for the established minimum requirements and obtain a minimum passing grade of 50%; and
2. obtain a minimum passing grade of 40% in the final, end-of-semester examination for the course.
In order to participate in this course, students must complete a compulsory Health and Safety requirement. Students will receive full information on this compulsory component in the course outline provided by the school.
Not available in 2015
|Previously offered in 2014|
|Objectives||On successful completion of this course, students will be able to:|
1. Use Microsoft excel, particularly the tools LINEST and SOLVER, and matrix operations to extract quantitative chemical information from complex spectroscopic data.
2. Describe how a range of computational methods can be used effectively for quantitative chemical data analysis.
3. Apply the skills in 1 and 2 (above) to experimental design in order to facilitate quantitative chemical analysis.
4. Describe how organic functional groups behave in the NMR experiment and how this behaviour is reflected in NMR spectra.
5. Use NMR spectra, in conjunction with infrared and mass spectra, to elucidate and substantiate the molecular structure of organic compounds.
6. Describe the basics of the theory and conduct of modern one- and two-dimensional spectroscopic experiments.
7. Provide oral and written reports which logically, clearly and critically establish a compound's molecular structure on the basis of its spectrometric data.
|Content||Part A: (Quantitative Analysis)|
1. Advanced quantitative analysis of spectroscopic data, e.g. expansion of the Beer-Lambert law and determination of the concentration of multiple chemical species.
2. The use of fibre-optic sensors to obtain spectroscopic data suitable of industrial process control and analysis.
3. Analysis of spectroscopic data continuously acquired from industrial process to determine reaction mechanisms and to obtain physical-chemical parameters such as rate or equilibrium constants, and their application to process analysis and control.
4. The use Microsoft Excel, particularly the tools LINEST and SOLVER, and matrix operations to extract quantitative chemical information from complex spectroscopic data. Laboratory sessions will include selected examples, e.g. a chemical distillation, of their applications in industrial process control and analysis.
PART B: (Characterisation)
1. The relationship between chemical structure and 1H and 13C signal splitting.
2. The relationship between chemical structure and 1H and 13C chemical shift and signal intensity.
3. Descriptive theoretical background to modern Fourier transform NMR spectroscopy and practice. The description has two parallel facets: use of vector diagrams and, secondly, manipulation of nuclei energy level populations.
4. The effect of relaxation processes on the NMR experiment, with nuclear Overhauser enhancement being a particular focus.
Laboratory and workshop sessions include interpretation and analysis of spectroscopic data leading to the elucidation of the structure of unknown chemical compounds.
|Assumed Knowledge||PART A : CHEM2110 and CHEM3110|
PART B: CHEM2310 or CHEM2210
|Modes of Delivery||Internal Mode|
|Contact Hours||Laboratory: for 3 hour(s) per Week for Full Term|
Lecture: for 3 hour(s) per Week for Full Term