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Prediction of proton and carbon-13 NMR chemical shifts using chemical shift prediction programs

Includes bibliographical references.

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Bibliographic Details
Main Author: Dyosi, Zolani
Other Authors: Jackson, Graham Ellis
Format: Thesis
Language:English
Published: Department of Chemistry 2014
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access_status_str Open Access
author Dyosi, Zolani
author2 Jackson, Graham Ellis
author_browse Dyosi, Zolani
Jackson, Graham Ellis
author_facet Jackson, Graham Ellis
Dyosi, Zolani
author_sort Dyosi, Zolani
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/7413
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:52:51.943Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Chemistry
publisherStr Department of Chemistry
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/7413 Prediction of proton and carbon-13 NMR chemical shifts using chemical shift prediction programs Dyosi, Zolani Jackson, Graham Ellis Chemistry Includes bibliographical references. Ab-initio, semi-empirical, and empirical calculations are used in computer programs separately or in conjunction with one another to calculate predicted chemical shifts for a wide range of chemical compounds. 1H-spectra for several flexible and rigid organic compounds were acquired on Oxford-Broker spectrometer and interpreted using two-dimensional NMR techniques. ACD-V 4 and CHARGE-V7 programs were used to predict 1H chemical shifts for these compounds. 1H and 13C_spectra for alkaloids were also collected using a Varian spectrometer and also interpreted with the use of multi-pulse techniques. CHARGE-V7, ACD-V4 (1H and 13C) predictor programs together with SpecInfo-V3.2 (1H and 13C) predictor program were used in the prediction of chemical shifts for alkaloids. The results obtained for flexible and rigid organic compounds indicate good calculation of 1H-chemical shifts by both CHARGE-V7 and ACD-V4 programs. These results are contrary to the poor chemical shifts generated by these programs for a1kaloids. The poor prediction of alkaloids could be due to the absence of similar fragments in ACD-V4 and SpecInfo-V3.2 program's databases. Poor parameterisation of CHARGE-V7 program coupled with complex spectra of a1kaloids could be contributing to the inaccurate predicted chemical shifts. Increasing the size of the user database for SpecInfo and ACD programs would improve the accuracy in prediction of both 1H and 13C chemical shifts. Improvement in the accuracy of parameterisation of CHARGE-V7 to cater for rare compounds such as natural products is also required. 2014-09-10T12:36:05Z 2014-09-10T12:36:05Z 2002 Master Thesis Masters MSc http://hdl.handle.net/11427/7413 eng application/pdf Department of Chemistry Faculty of Science University of Cape Town
spellingShingle Chemistry
Dyosi, Zolani
Prediction of proton and carbon-13 NMR chemical shifts using chemical shift prediction programs
thesis_degree_str Master's
title Prediction of proton and carbon-13 NMR chemical shifts using chemical shift prediction programs
title_full Prediction of proton and carbon-13 NMR chemical shifts using chemical shift prediction programs
title_fullStr Prediction of proton and carbon-13 NMR chemical shifts using chemical shift prediction programs
title_full_unstemmed Prediction of proton and carbon-13 NMR chemical shifts using chemical shift prediction programs
title_short Prediction of proton and carbon-13 NMR chemical shifts using chemical shift prediction programs
title_sort prediction of proton and carbon 13 nmr chemical shifts using chemical shift prediction programs
topic Chemistry
url http://hdl.handle.net/11427/7413
work_keys_str_mv AT dyosizolani predictionofprotonandcarbon13nmrchemicalshiftsusingchemicalshiftpredictionprograms